The DOI matches its Crossref record; 210 of the 212 references it cites were found in a registry or an index; 5 of the 283 sources its claims cite were checked for support.
Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring
Open accessAbstract
Photoplethysmography (PPG) is a low-cost, noninvasive optical technique that uses change in light transmission with changes in blood volume within tissue to provide information for cardiovascular health and fitness. As remote health and wearable medical devices become more prevalent, PPG devices are being developed as part of wearable systems to monitor parameters such as heart rate (HR) that do not require complex analysis of the PPG waveform. However, complex analyses of the PPG waveform yield valuable clinical information, such as: blood pressure, respiratory information, sympathetic nervous system activity, and heart rate variability. Systems aiming to derive such complex parameters do not always account for realistic sources of noise, as testing is performed within controlled parameter spaces. A wearable monitoring tool to be used beyond fitness and heart rate must account for noise sources originating from individual patient variations (e.g., skin tone, obesity, age, and gender), physiology (e.g., respiration, venous pulsation, body site of measurement, and body temperature), and external perturbations of the device itself (e.g., motion artifact, ambient light, and applied pressure to the skin). Here, we present a comprehensive review of the literature that aims to summarize these noise sources for future PPG device development for use in health monitoring.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This review synthesizes literature on sources of inaccuracy in photoplethysmography (PPG) for continuous cardiovascular monitoring, grouping them into individual variation, physiological processes, and external perturbations. It argues that advanced PPG parameters require accounting for these noise sources across diverse populations and real-world conditions, not just controlled fitness/heart-rate settings.
Key findings
- Noise sources are divided into three main categories: individual variation (skin tone, obesity, age, gender), physiology (respiration, venous pulsation, body site, local body temperature), and external perturbation (motion artifact, ambient light, applied pressure).
- Skin tone: a 535 nm wrist device showed error of 1.04 BPM for “fair” skin vs 10.90 BPM for “dark” skin; Polar OH1 bias increased with darker skin (p < 0.001), while Bent et al. found no statistically significant skin-tone relationship but a mean absolute error of approximately 9 BPM across all skin tones.
- Obesity: Monte Carlo simulations predicted a 40% loss of PPG signal amplitude on the wrist as simulated radial artery depth increased from 2.5 to 3.5 mm; obesity is also linked to changes in capillary density, blood flow, SpO2, trans epidermal water loss, and skin thickness.
- Motion and pressure: Basis Peak vs Fitbit Charge HR correlations were r = 0.92 vs r = 0.83 overall, and during high-intensity events r = 0.77 vs r = 0.58; Apple Watch 4 had MAE of 2.7 BPM at rest and 4.6 BPM while walking. Applied pressure from 0–15 kPa produced over 300% variation in the b/a ratio, dropping to less than 5% at optimal pressure; a force regulator reduced coefficient of variation from 50.9% to 1.8%.
Methods
- Design: comprehensive literature review; no new experimental data are reported.
- Data/sample: synthesizes published human studies, in silico modeling, commercial and FDA-cleared/approved PPG devices, and prior reviews; examples include studies with 256 subjects for skin tone, 70 subjects for Polar OH1, 56 patients for wearable comparison, and 93 individuals for age-related PPG features.
- Main analysis: narrative synthesis categorizing noise sources into individual variation, physiology, and external factors, with summary tables for age-induced PPG changes, temperature effects, and adaptive filters for motion artifacts.
Limitations
- The paper states that few noise sources had a comprehensive solution, understanding of how conditions such as obesity affect skin and cardiovascular monitoring is still developing, and future research should incorporate larger studies inclusive of diverse populations.
- Evident from the text: as a narrative review, it does not report a systematic search strategy or quantitative meta-analysis; many cited studies are small, some lack statistical analyses, and findings conflict (e.g., Bent et al. vs other skin-tone studies; inconsistent skin thickness data).
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Figures
![Figure 3 (a) Absorption coefficient of epidermal melanin vs. bulk epidermis. (b) Optical absorption of oxygenated hemoglobin and water [47,48,49,50].](/paper-figures/b9d31026972947f89dd40509ef4d1f2b/sources-of-inaccuracy-in-photoplethysmography-for-continuous-cardiovascular-figure-3.jpg)

![Figure 2 The Fitzpatrick Scale, ranging from I (little epidermal melanin, ~3% volume fraction melanosomes) to VI (significant epidermal melanin, ~43% volume fraction melanosomes) [39].](/paper-figures/a43a349d60de47a3891961b1694e6ab0/sources-of-inaccuracy-in-photoplethysmography-for-continuous-cardiovascular-figure-2.jpg)

![Figure 5 Respiratory-induced intensity variation (RIIV), respiratory-induced amplitude variation (RIAV), and respiratory-induced frequency variation (RIFV) respiratory-influenced variation to PPG signal [115].](/paper-figures/973b0ef301bc4bb1a4eca82e0073287e/sources-of-inaccuracy-in-photoplethysmography-for-continuous-cardiovascular-figure-5.jpg)
![Figure 6 Venous pulse within a PPG. The blue waveform is the venous waveform, and the red waveform shows the PPG waveform. Adapted from Shelley et al. [116]. Created with BioRender.com.](/paper-figures/df8cecd1856b488a956a29a0c8c83c2b/sources-of-inaccuracy-in-photoplethysmography-for-continuous-cardiovascular-figure-6.jpg)
![Figure 7 Relative total skin thicknesses across body sites for a sample of studies, from thinnest to thickest. Each anatomy also has (1), (2), or (3) next to its name, indicating the number of studies this body site was measured in (out of 5 considered works). Created with BioRender.com [80,81,140,142,143].](/paper-figures/7d3140450593494eb5fe0b6d947a7384/sources-of-inaccuracy-in-photoplethysmography-for-continuous-cardiovascular-figure-7.jpg)
Verification
Claims the paper makes
200 Not checked yet · 51 Own interpretation · 23 No basis given · 2 Supported · 1 Partly supported · 1 Own result · accuracy not yet measured
Every source the paper cites for this claim was checked and supports it.
In the paper
“The parameters listed in Table 3 attributed to Ahn et al. yielded a statistically significant, albeit poor, correlation with age [83].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
What the sources say
- Supportedcites [83] Ahn, 2017, New aging index using signal features of both photoplethysmograms and acceleration plethysmograms, Healthc. Inform. Res. source
The Results sections on APG and PPG indices report several statistically significant but weak correlations with age, including the age index (r = 0.296), c_peak (r = −0.288), and A1_time (r = −0.247). This supports the characterization of those individual parameters, though the cited paper describes its combined IPAD index as having a stronger correlation. (LLM, conf=0.86)
plaincorrelationaln = 93- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
None of the sources cited for this claim have been checked yet.
In the paper
“Using k-nearest neighbor and support vector machines, Ferdinando et al. were able to identify five classes of obesity from PPG waveforms using 17 parameters derived from the decomposition of the PPG waveform into five lognormal functions.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.2. Obesity
What the sources say
- Could not verifycites [75] Liang, 2018, A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China, Sci. Data sourceExperimental — accuracy not yet measured
The Background and Summary and Methods sections describe a PPG dataset for cardiovascular and blood-pressure research, but do not report obesity classification. Searches for Ferdinando, five obesity classes, 17 parameters, lognormal decomposition, and the named classifiers found no passage addressing the claimed result. The supplied passages have no page numbers. (LLM, conf=0.77)
- Not checked yetcites [76] Ferdinando, H., Huotari, M., and Myllylä, T. (2019, January 23–27). Photoplethysmography signal analysis to assess obesity, age group and hypertension. Proceedings of the 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany. source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Could not verify
Every source the paper cites for this claim was checked and supports it.
In the paper
“RIAV causes significant changes in each peak amplitude.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.1. Respiration
What the sources say
- Supportedcites [115] Dehkordi, 2018, Extracting instantaneous respiratory rate from multiple photoplethysmogram respiratory-induced variations, Front. Physiol. source
The Introduction (section 1.1, page unavailable) describes RIAV as a respiration-driven change in PPG pulse amplitude: amplitude decreases during inspiration and increases during expiration. This supports the citing sentence’s point about changes in peak amplitude; the source does not quantify their size. (LLM, conf=0.87)
- Supportedcites [121] Addison, 2012, Developing an algorithm for pulse oximetry derived respiratory rate (RR oxi): A healthy volunteer study, J. Clin. Monit. Comput. source
The respiratory-rate algorithm section describes pulse-amplitude modulation: respiration changes cardiac pulse amplitude, with amplitude decreasing during inspiration. Its Fig. 1 caption likewise describes cardiac pulse amplitudes varying over the respiratory cycle. The paper does not quantify the change in each individual peak, so “significant” is supported as a qualitative description, not a statistical result. (LLM, conf=0.88)
plaindirectn = 139- Asserted: passes — The authors put it forward as true.
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- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“They also reported that during the high intensity running stage, they saw some of the lowest MAPE from the MA (0.82%), the TT (0.97%), and the BP (3.28%).”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Partly supportedcites [166] Stahl, 2016, How accurate are the wrist-based heart rate monitors during walking and running activities? Are they accurate enough?, BMJ Open Sport Exerc. Med. sourceExperimental — accuracy not yet measured
The Results report that at the final 9.6 km/h running stage, Mio Alpha and TomTom had MAPE of 0.82% and 0.97%, respectively. The Discussion also reports 3.28% for Basis Peak, but identifies it as the greatest MAPE at that stage, not one of the lowest. (LLM, conf=0.90)
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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- Partly supported
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“PPG-based RCIM devices that are U.S. Food and Drug Administration (FDA) cleared or approved and can accurately and consistently record clinical parameters in a sufficiently diverse population for true health monitoring are scarce.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
plain- Asserted: passes — The authors put it forward as true.
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None of the sources cited for this claim have been checked yet.
In the paper
“While, to the authors’ knowledge, publications that experimentally and explicitly demonstrate the effect of obesity or BMI on the PPG waveform are limited, we will explore works which suggest that there would be a substantial effect [56,59,60,61,62,63,64,65,66,67,68,69,70].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.2. Obesity
What the sources say
- Not checked yetcites [56] Gibney, 2010, Skin and subcutaneous adipose layer thickness in adults with diabetes at sites used for insulin injections: Implications for needle length recommendations, Curr. Med. Res. Opin. source
- Not checked yetcites [59] Elgendi, 2012, On the analysis of fingertip photoplethysmogram signals, Curr. Cardiol. Rev. source
- Not checked yetcites [60] Iacopi, 2020, Using Skin Bioengineering to Highlight How Weight and Diabetes Mellitus Modify the Skin in the Lower Limbs of Super-Obese Patients, Diabetes Metab. Syndr. Obes. Targets Ther. source
- Not checked yetcites [61] Chin, 1999, Increased cutaneous blood flow but impaired post-ischemic response of nutritional flow in obese children, Atherosclerosis source
- Not checked yetcites [62] Francischetti, 2011, Skin capillary density and microvascular reactivity in obese subjects with and without metabolic syndrome, Microvasc. Res. source
- Not checked yetcites [63] Czernichow, 2010, Microvascular dysfunction in healthy insulin-sensitive overweight individuals, J. Hypertens. source
- Not checked yetcites [64] Debbabi, 2006, Increased skin capillary density in treated essential hypertensive patients, Am. J. Hypertens. source
- Not checked yetcites [65] Ijzerman, 2004, Impaired microvascular function in obesity: Implications for obesity-associated microangiopathy, hypertension, and insulin resistance, Circulation source
- Not checked yetcites [66] Kapur, 2013, Obesity is associated with a lower resting oxygen saturation in the ambulatory elderly: Results from the cardiovascular health study, Respir. Care source
- Not checked yetcites [67] Petrofsky, 2015, The effect of BMI on oxygen saturation at rest and during mild walking, J. Appl. Med. Sci.
hedged- Asserted: passes — The authors put it forward as true.
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“While many sources of noise had documented potential solutions, few had a comprehensive solution and even our understanding of how conditions such as obesity affect the skin and cardiovascular monitoring are still developing.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 5. Summary
plain- Asserted: passes — The authors put it forward as true.
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“A review of the literature shows that the difficulty in creating such a device partially originates from the many sources of noise that researchers encounter.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 5. Summary
plainconditional- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As shown in Table 7, we found that sources of noise can be divided primarily into three categories: individual variation, physiological processes, and external perturbation.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 5. Summary
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“Systems aiming to derive such complex parameters do not always account for realistic sources of noise, as testing is performed within controlled parameter spaces.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > Abstract
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- Probably not a substantial claim. 40
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“All six identified devices with FDA status appear to be able to provide patients and providers with data for oxygen saturation (SpO2), respiration rate, and pulse rate.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
hedged- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
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In the paper
“In some cases, FDA approval is only for when the wearable is used within a software suite or healthcare framework. This is the case with the Samsung Gear S2, which is FDA cleared to monitor heart rate toward detecting atrial fibrillation when done with the LIVMOR Halo™ Detection System.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
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In the paper
“To the authors’ knowledge, there is no work that comprehensively summarizes the literature surrounding these sources of noise and how they affect the waveform of the PPG and its derivatives.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
hedged- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“To the authors’ best knowledge, literature does not exist that demonstrates this relationship for the finger, a common location for pulse oximeters.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.2. Obesity
hedged- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
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In the paper
“It has been shown that the temperature of the body site where PPG data are being collected can influence the resultant waveform amplitude, and even the time between waveforms. This is summarized in Table 5.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.4. Local Body Temperature
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“While many sources of noise had documented potential solutions, few had a comprehensive solution and even our understanding of how conditions such as obesity affect the skin and cardiovascular monitoring are still developing.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 5. Summary
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“PPG can fill this gap if a sufficiently accurate and precise device is developed.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
plainconditional- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“PPG systems developed for remote and wearable use are typically for general wellness and fitness. This precludes it from being prescribed for medical use at home.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The indications for use in these devices are very significant advancements in remote monitoring, but still lag in the potential prognostic capabilities of the PPG.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Remote and continuous/intermittent monitoring (RCIM) has proven to be a promising route to deliver preventative care by reducing both the death rate and burdens placed on the healthcare system [1,2,3].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
What the sources say
- Not checked yetcites [1] Wilkoff, 2008, HRS/EHRA expert consensus on the monitoring of cardiovascular implantable electronic devices (CIEDs): Description of techniques, indications, personnel, frequency and ethical considerations: Developed in partnership with the Heart Rhythm Society (HRS) and the European Heart Rhythm Association (EHRA); and in collaboration with the American College of Cardiology (ACC), the American Heart Association (AHA), the European Society of Cardiology (ESC), the Heart Failure Association of ESC (HFA), and the Heart Failure Society of America (HFSA). Endorsed by the Heart Rhythm Society, the source
- Not checked yetcites [2] Roger, 2011, Heart disease and stroke statistics—2011 update: A report from the American Heart Association, Circulation source
- Not checked yetcites [3] Jencks, 2009, Rehospitalizations among patients in the Medicare fee-for-service program, N. Engl. J. Med. source
boosteddirect- Asserted: passes — The authors put it forward as true.
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In the paper
“The blood pressure cuff, ECG patch, and Holter monitor are also not often used for long-term remote monitoring [24].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
What the sources say
- Not checked yetcites [24] Bansal, 2018, Portable out-of-hospital electrocardiography: A review of current technologies, J. Arrhythmia source
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In addition, the hardware and software within the device itself can contribute to the noise.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“Additionally, these tests are rarely administered preventatively, despite research which concludes that preventative testing could reduce deaths by up to 25% [1].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
What the sources say
- Not checked yetcites [1] Wilkoff, 2008, HRS/EHRA expert consensus on the monitoring of cardiovascular implantable electronic devices (CIEDs): Description of techniques, indications, personnel, frequency and ethical considerations: Developed in partnership with the Heart Rhythm Society (HRS) and the European Heart Rhythm Association (EHRA); and in collaboration with the American College of Cardiology (ACC), the American Heart Association (AHA), the European Society of Cardiology (ESC), the Heart Failure Association of ESC (HFA), and the Heart Failure Society of America (HFSA). Endorsed by the Heart Rhythm Society, the source
boosteddirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“These sources of error pertain to variation within and across individuals (e.g., skin tone, obesity, age, and gender), physiology (e.g., respiration, venous pulsation, body site of measurement, and body temperature), and external perturbations of the device itself (e.g., motion artifact, ambient light, and applied pressure to the skin).”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Additionally, some parameters in the literature such as pulse transit time (PTT), which is used to determine pulse wave velocity (PWV) and estimate blood pressure without a cuff, requires extraction of the time delay from two PPG waveforms or from an ECG and PPG waveform [31,32].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
What the sources say
- Not checked yetcites [31] Nabeel, 2018, Arterial blood pressure estimation from local pulse wave velocity using dual-element photoplethysmograph probe, IEEE Trans. Instrum. Meas. source
- Not checked yetcites [32] Nabeel, P., Karthik, S., Joseph, J., and Sivaprakasam, M. (2017, January 8–10). Experimental validation of dual PPG local pulse wave velocity probe. Proceedings of the 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN, USA. source
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Numerous non-FDA cleared/approved fitness devices exist and can estimate heart rate by quantifying the number of systolic peaks in a period of time, but a single parameter limits the amount of extractable information.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“However, complex analyses of the PPG waveform yield valuable clinical information, such as: blood pressure, respiratory information, sympathetic nervous system activity, and heart rate variability.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > Abstract
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In the paper
“Overall, the literature has demonstrated the potential diagnostic and prognostic strength for the PPG; however, the PPG features can only be utilized if the waveform is of a high quality with high signal-to-noise ratio (SNR).”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
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In the paper
“Beyond fitness and heart rate monitoring, the primary medical use of the PPG has been focused on obtaining information about the cardiovascular system towards cardiovascular disease (CVD) diagnosis and treatment [17,18].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
What the sources say
- Not checked yetcites [17] Elgendi, 2019, The use of photoplethysmography for assessing hypertension, NPJ Digit. Med. source
- Not checked yetcites [18] Vakily, 2017, A system for continuous estimating and monitoring cardiac output via arterial waveform analysis, J. Biomed. Phys. Eng.
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“A wearable monitoring tool to be used beyond fitness and heart rate must account for noise sources originating from individual patient variations (e.g., skin tone, obesity, age, and gender), physiology (e.g., respiration, venous pulsation, body site of measurement, and body temperature), and external perturbations of the device itself (e.g., motion artifact, ambient light, and applied pressure to”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > Abstract
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In the paper
“These results indicate that overall, the mean modulation goes down with increasing Fitzpatrick scale, and with exercise one would expect greater blood volume changes causing a higher signal for the more absorbing blue/green wavelengths, at least for the source to detector distances used in the study.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
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In the paper
“With 20 subjects ranging from Fitzpatrick II to Fitzpatrick IV, the perfusion index (AC/DC), pulsatile strength, and SNR were all found to increase when data collected with the 590 nm LED were analyzed.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
What the sources say
- Not checked yetcites [51] Mohapatra, P., Preejith, S., and Sivaprakasam, M. (2017, January 22–25). A novel sensor for wrist based optical heart rate monitor. Proceedings of the 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Torino, Italy. source
plaindirectn = 20- Asserted: passes — The authors put it forward as true.
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In the paper
“Obesity, determined by having a body mass index greater than 30, affects 40% of the United States and leads to cardiovascular disease, hypertension, and type 2 diabetes [57].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.2. Obesity
What the sources say
- Not checked yetcites [57] Poirier, 2006, Obesity and cardiovascular disease: Pathophysiology, evaluation, and effect of weight loss: An update of the 1997 American Heart Association Scientific Statement on Obesity and Heart Disease from the Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism, Circulation source
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In the paper
“However, the wavelength range needs to be optimized for both skin tone and blood absorption, particularly as more advanced parameters are derived from PPG signals, as the absorption of green light by melanin in individuals with a darker skin tone limits the light penetration to the subcutaneous tissue where the blood is located.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“It was found that relative amplitude of the AC component to the entire signal (AC + DC) increased as LED/photodiode spacing increased from 4 to 11 mm, although no statistical analyses were presented.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
What the sources say
- Not checked yetcites [53] Mendelson, 1988, Noninvasive pulse oximetry utilizing skin reflectance photoplethysmography, IEEE Trans. Biomed. Eng. source
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“There was an error of 1.04 beats per minute (BPM) for “fair” skinned individuals and an error of 10.90 BPM for “dark” skinned participants, citing the lack of usability of their device for dark skinned individuals.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
What the sources say
- Not checked yetcites [40] Preejith, S., Alex, A., Joseph, J., and Sivaprakasam, M. (2016, January 12–14). Design, development and clinical validation of a wrist-based optical heart rate monitor. Proceedings of the 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, Italy. source
plaindirectn = 256- Asserted: passes — The authors put it forward as true.
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In the paper
“Blood flow regulation and oxygen saturation are both known to deviate with respect to obesity and BMI [71].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.2. Obesity
What the sources say
- Not checked yetcites [71] Limberg, 2016, Peripheral Blood Flow Regulation in Human Obesity and Metabolic Syndrome, Exerc. Sport Sci. Rev. source
boostedcorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“Preejith et al. confirmed that skin tone matters when using green light only. The analysis of their PPG biosensor (single source 535 nm LED) showed a significant direct correlation SNR of the heart rate with skin tone, indicating that a darker skin tone yields higher error in the measurement [40].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
What the sources say
- Not checked yetcites [40] Preejith, S., Alex, A., Joseph, J., and Sivaprakasam, M. (2016, January 12–14). Design, development and clinical validation of a wrist-based optical heart rate monitor. Proceedings of the 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, Italy. source
boostedcorrelationaln = 256- Asserted: passes — The authors put it forward as true.
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“However, many PPG devices use green light (~550 nm). The decision to use green light in most PPG systems is primarily driven by the relatively high absorption spectrum of hemoglobin in this range (Figure 3b), which is the main absorber in blood and thus can potentially give a strong pulsatile signal with changes in blood volume.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“In particular, obesity can lead to changes in skin thickness, blood flow, and oxygen saturation. This affects the optical properties of skin in addition to the distance light has to travel to reach a target vessel or vessels [48,59,60].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.2. Obesity
What the sources say
- Not checked yetcites [48] Jacques, 2013, Optical properties of biological tissues: A review, Phys. Med. Biol. source
- Not checked yetcites [59] Elgendi, 2012, On the analysis of fingertip photoplethysmogram signals, Curr. Cardiol. Rev. source
- Not checked yetcites [60] Iacopi, 2020, Using Skin Bioengineering to Highlight How Weight and Diabetes Mellitus Modify the Skin in the Lower Limbs of Super-Obese Patients, Diabetes Metab. Syndr. Obes. Targets Ther. source
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“Individuals with obesity experience increased cutaneous blood flow to meet the oxygenation needs of tissue. However, the blood flow of adipose tissue generally decreases with obesity both after a meal and during a fasting state [61,72].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.2. Obesity
What the sources say
- Not checked yetcites [61] Chin, 1999, Increased cutaneous blood flow but impaired post-ischemic response of nutritional flow in obese children, Atherosclerosis source
- Not checked yetcites [72] Altintas, 2016, In vivo reflectance-mode confocal microscopy assessments: Impact of overweight on human skin microcirculation and histomorphology, J. Biomed. Opt. source
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“These often-overlooked disparities with diversity (e.g., skin tone and obesity) are now becoming more documented in the literature [34,35,36].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 1. Introduction
What the sources say
- Not checked yetcites [34] Colvonen, P.J., DeYoung, P.N., Bosompra, N.-O.A., and Owens, R.L. (2020). Limiting Racial Disparities and Bias for Wearable Devices in Health Science Research, Oxford University Press US. source
- Not checked yetcites [35] Hidalgo, 2021, Critical care trainees call for pulse oximetry reform, Lancet Respir. Med. source
- Not checked yetcites [36] Rodriguez, 2021, Synthetic Photoplethysmography (PPG) of the radial artery through parallelized Monte Carlo and its correlation to Body Mass Index (BMI), Sci. Rep. source
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“This is due to the high absorbance of eumelanin with a peak in the ultraviolet wavelength (220 nm) and a steady decay through the visible wavelength region.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
plain- Asserted: passes — The authors put it forward as true.
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Since the absorption of epidermal melanin is much higher in the visible region of light and much lower in the near infrared region (NIR), the NIR range of light will travel further through pigmented skin.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“In determining heart rate, it was found that bias (defined as the mean difference between the OH1 and ground truth) increased with darker skin (p < 0.001), and heart rate accuracy was positively correlated to skin tone (p < 0.05).”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
What the sources say
- Not checked yetcites [41] Hermand, 2019, Validation of a photoplethysmographic heart rate monitor: Polar OH1, Int. J. Sports Med. source
plaincorrelationaln = 70 ·- Asserted: passes — The authors put it forward as true.
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In the paper
“Additionally, the wearable devices used in this study utilized red and near infrared light, which can more easily penetrate the epidermis.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
What the sources say
- Not checked yetcites [46] Bent, 2020, Investigating sources of inaccuracy in wearable optical heart rate sensors, NPJ Digit. Med. source
plaindirectn = 56- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“For Fitzpatrick IV individuals, the perfusion index increased between 1.2 and 7.1 times with the use of the 590 light, while pulsatile strength increased by 1.1 to 3.1 times and SNR increased by 1.3 to 2.6 times, although no statistical significance analyses were performed [51].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
What the sources say
- Not checked yetcites [51] Mohapatra, P., Preejith, S., and Sivaprakasam, M. (2017, January 22–25). A novel sensor for wrist based optical heart rate monitor. Proceedings of the 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Torino, Italy. source
plaindirectn = 20- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“In the resting condition, green light had larger mean modulation (p < 0.001) than other wavelengths, and after exercise, blue and green had greater SNR ratios than red or infrared (p < 0.001).”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
What the sources say
- Not checked yetcites [52] Fallow, 2013, Influence of skin type and wavelength on light wave reflectance, J. Clin. Monit. Comput. source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is possible that the lack of increase in error observed is due to the already large error present in the results reported—the mean absolute error is approximately 9 BPM across all skin tones.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.1. Skin Tone
hedgedconditionaln = 56- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most of the listed changes are due to the cardiovascular system, as arteries change how they respond to a cardiac pulse as the vessel ages.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Perhaps most detrimental to the PPG waveform is skin thickness, as it is directly correlated to BMI and can dampen PPG signal amplitude [56,70].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.2. Obesity
What the sources say
- Not checked yetcites [56] Gibney, 2010, Skin and subcutaneous adipose layer thickness in adults with diabetes at sites used for insulin injections: Implications for needle length recommendations, Curr. Med. Res. Opin. source
- Not checked yetcites [70] Derraik, J.G., Rademaker, M., Cutfield, W.S., Pinto, T.E., Tregurtha, S., Faherty, A., Peart, J.M., Drury, P.L., and Hofman, P.L. (2014). Effects of age, gender, BMI, and anatomical site on skin thickness in children and adults with diabetes. PLoS ONE, 9. source
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The ratio b/a has been found to correlate positively to age, while c/a, d/a and e/a have all been correlated negatively to age [29,59].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“Keratinocytes become shorter, water content decreases, lipid content decreases, and most notably, collagen synthesis and turnover decrease [93].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
What the sources say
- Not checked yetcites [93] Farage, 2013, Characteristics of the aging skin, Adv. Wound Care source
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This change in skin thickness decreases the necessary propagation of light to obtain a PPG signal, which can contribute to an increase in PPG signal strength, along with capillary depletion.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The increased absorption of deoxygenated hemoglobin compared to that of oxygenated hemoglobin in the far-red region could decrease SNR of PPG measurements that use those wavelengths of light.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.2. Obesity
hedgedconditional- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“PPG principally measures the response/elasticity of arteries to blood flow, and thus will change if the properties governing artery compliance changes.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“A Holtain skin caliper applied to the dorsal forearm found a decrease in skin thickness, and an infrared PPG was used to determine PPG amplitude. The authors attribute the positive, direct relationship between PPG amplitude and age to capillary depletion, due to similar skin thicknesses observed between older participants and children, despite an increased PPG amplitude in the older participants.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
What the sources say
- Not checked yetcites [94] Leveque, 1984, In vivo studies of the evolution of physical properties of the human skin with age, Int. J. Dermatol. source
plaindirectn = 69- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Using data from 93 individuals of various ages, Ahn et al. extracted features from fingertip-based PPG and the second derivative PPG, acceleration plethysmography (APG, Figure 4), and correlated them to chronological age in order to determine what they defined as the vascular age index [83].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
What the sources say
- Not checked yetcites [83] Ahn, 2017, New aging index using signal features of both photoplethysmograms and acceleration plethysmograms, Healthc. Inform. Res. source
plaincorrelationaln = 93- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Another study by Hartmann et al. determined that there is no statistically significant change in PPG amplitude as a function of age; however, this work featured 36 individuals ranging in age from only 33 to 58.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
What the sources say
- Not checked yetcites [95] Hartmann, 2019, Quantitative comparison of photoplethysmographic waveform characteristics: Effect of measurement site, Front. Physiol. source
plainn = 36- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“However, the integumentary system also responds to aging.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“Suzuki and Oguri similarly used artificial intelligence to determine blood pressure from a cuffless monitor and incorporated age into their algorithm [96].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
What the sources say
- Not checked yetcites [96] Suzuki, S., and Oguri, K. (2009, January 2–6). Cuffless blood pressure estimation by error-correcting output coding method based on an aggregation of adaboost with a photoplethysmograph sensor. Proceedings of the 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Hilton Minneapolis, MI, USA. source
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“Phuong and Maibach noted that gender differentiation in average blood pressure and average heart rate indicate that baseline differences in vascular and cardiovascular parameters must be considered to determine cardiovascular health between males and females, which also extends into analyses of the PPG waveform [98].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [98] Phuong, C., and Maibach, H.I. (2016). Gender differences in skin. J. Textb. Aging Skin, 1729–1755. source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This leads to dramatic changes in PWV and subsequently PTT.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“Proctor et al. reported that the average heart rate for males was 70–72 BPM and the average for females was 78–85 BPM in 16 endurance-trained men and 14 endurance-trained women [99].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [99] Proctor, D.N., Beck, K.C., Shen, P.H., Eickhoff, T.J., Halliwill, J.R., and Joyner, M.J. (1998). Influence of age and gender on cardiac output-V o 2 relationships during submaximal cycle ergometry. J. Appl. Physiol. source
plainn = 16- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Artificial intelligence and machine learning have been used to determine blood pressure from PPG and mitigate the effects age have on the estimate.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
What the sources say
- Not checked yetcites [92] 2011, Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques, Artif. Intell. Med. source
- Not checked yetcites [96] Suzuki, S., and Oguri, K. (2009, January 2–6). Cuffless blood pressure estimation by error-correcting output coding method based on an aggregation of adaboost with a photoplethysmograph sensor. Proceedings of the 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Hilton Minneapolis, MI, USA. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“An algorithm that incorporates age into systolic and diastolic blood pressure determination was created.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
What the sources say
- Not checked yetcites [92] 2011, Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques, Artif. Intell. Med. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Skin thickness is another gender-dependent variable known to affect signal strength (as mentioned previously), and is observed to be higher in men than women across all age ranges [97,103].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“These significant differences in artery diameter lead to significantly different radial artery flow rates as well, with a flow rate of 21 ± 4 and 10 ± 1 mL/min for males and females, respectively [102].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [102] Joannides, 2002, Influence of vascular dimension on gender difference in flow-dependent dilatation of peripheral conduit arteries, Am. J. Physiol. Heart Circ. Physiol. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“However, post-menopausal females have higher blood pressure than males, which can be attributed to arterial stiffness [101].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [101] Reckelhoff, 2001, Gender differences in the regulation of blood pressure, Hypertension source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Males have a 15–30% increase in heart mass compared to females resulting in females’ hearts having to beat faster to maintain the same output [100].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [100] Prabhavathi, 2014, Role of biological sex in normal cardiac function and in its disease outcome—A review, J. Clin. Diagn. Res. JCDR
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The physiological differences between men and women extend into cardiovascular health and are thus noticeable in the PPG waveform [97,98].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Shuster et al. measured skin thickness in 90 Caucasian men and 107 women and found that forearm skin thickness is greater in men than women, but no statistics were presented to explore statistical significance [103].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [103] Shuster, 1975, The influence of age and sex on skin thickness, skin collagen and density, Br. J. Dermatol. source
plaincorrelationaln = 90- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Post-puberty, both males and females have an increase in arterial compliance, determining no gender-dependent differences between the measurement.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [104] Ahimastos, 2003, Gender differences in large artery stiffness pre-and post puberty, J. Clin. Endocrinol. Metab. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“For respiratory measurements, Nilsson et al. have reported that respiratory synchronous variation in the PPG signal is irrespective of gender, and thus no action is required [111].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [111] Nilsson, 2006, Age and gender do not influence the ability to detect respiration by photoplethysmography, J. Clin. Monit. Comput. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Dehghanojamahalleh et al. demonstrated variations in PPG morphology attributed to gender differences [105]. Interestingly, direct influence of gender variation was only significantly different at the upper peripheral measurement site such as the hand and fingers as opposed to lower extremities such as the ankle and feet.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [105] Dehghanojamahalleh, 2019, Sex-Related Differences in Photoplethysmography Signals Measured From Finger and Toe, IEEE J. Transl. Eng. Health Med. source
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“However, for females, PWV stayed roughly the same, while there was an increase in PWV for males.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [104] Ahimastos, 2003, Gender differences in large artery stiffness pre-and post puberty, J. Clin. Endocrinol. Metab. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“It was discovered during prepuberty, females have lower arterial compliance and higher central and peripheral PWV yielding stiffer arteries compared to males.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [104] Ahimastos, 2003, Gender differences in large artery stiffness pre-and post puberty, J. Clin. Endocrinol. Metab. source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The finger is arterially dominated while the forearm has a larger venous component [120].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.2. Venous Pulsations
What the sources say
- Not checked yetcites [120] Ysehak Abay, T., Shafqat, K., and Kyriacou, P.A. (2019). Perfusion Changes at the Forehead Measured by Photoplethysmography during a Head-Down Tilt Protocol. Biosensors, 9. source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Pulse wave propagation delay between the genders indicates baseline differences in arterial stiffness with women displaying lower degrees of pulse arrival latency delay indicating higher vascular stiffness [106,107].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.4. Gender
What the sources say
- Not checked yetcites [106] Mukkamala, 2015, Toward ubiquitous blood pressure monitoring via pulse transit time: Theory and practice, IEEE Trans. Biomed. Eng. source
- Not checked yetcites [107] Guajardo, 2018, Sex differences in vascular dysfunction and cardiovascular outcomes: The cardiac, endothelial function, and arterial stiffness in ESRD (CERES) study, Hemodial. Int. source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The venous system similarly contributes periodicity to the PPG signal, but this is often considered noise.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.2. Venous Pulsations
What the sources say
- Not checked yetcites [116] Shelley, 1993, The detection of peripheral venous pulsation using the pulse oximeter as a plethysmograph, J. Clin. Monit. source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Shelley et al. and Sami et al. both demonstrated the influence of the venous signal on SpO2, showing that forehead and earlobe pulse oximeters (respectively) produced a significantly biased variable component of the PPG determined to originate from central venous pressure (CVP) [125,127].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.2. Venous Pulsations
What the sources say
- Not checked yetcites [125] Shelley, 2005, The effect of venous pulsation on the forehead pulse oximeter wave form as a possible source of error in Spo2 calculation, Anesth. Analg. source
- Not checked yetcites [127] Sami, 1991, Central venous pulsations associated with a falsely low oxygen saturation measured by pulse oximetry, J. Clin. Monit. source
boosteddirectn = 5- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“They have been shown to artificially inflate the systolic peak amplitude and interfere with the rising systolic edge of the typical PPG waveform; an important parameter used in cardiovascular health determination [116].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.2. Venous Pulsations
What the sources say
- Not checked yetcites [116] Shelley, 1993, The detection of peripheral venous pulsation using the pulse oximeter as a plethysmograph, J. Clin. Monit. source
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Nijland et al. also confirmed these results in fetal lambs, where reflectance pulse oximetry SpO2 readings were significantly lower than fiberoptic SaO2 values. However, when the vessel was coagulated, this difference became negligible [128].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.2. Venous Pulsations
What the sources say
- Not checked yetcites [128] Nijland, 1996, Reflectance pulse oximetry in fetal lambs: Subcutaneous vessels and vasoconstriction affect its reliability, J. Clin. Monit. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Dicrotic notch duration at the finger was not significantly different from measurements under the wrist and forehead, but was different from the earlobe, arm, and wrist.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.3. Body Site of Measurement
What the sources say
- Not checked yetcites [95] Hartmann, 2019, Quantitative comparison of photoplethysmographic waveform characteristics: Effect of measurement site, Front. Physiol. source
plainn = 36 ·- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“However, it is possible that this will eliminate the arterial pulsation in hypotensive patients as well as increase pressure-induced injury risk to the measurement site [125].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.2. Venous Pulsations
What the sources say
- Not checked yetcites [125] Shelley, 2005, The effect of venous pulsation on the forehead pulse oximeter wave form as a possible source of error in Spo2 calculation, Anesth. Analg. source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“For silicon photodiodes, the absorption coefficient increases with temperature, and thus the detectors will absorb less light at higher temperatures, inducing an apparent shift in PPG amplitude [161].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.4. Local Body Temperature
What the sources say
- Not checked yetcites [161] Optoelectronics, O. (2020, August 06). Temperature and Bias Effects. Available online: http://www.osioptoelectronics.com/technology-corner/frequently-asked-questions/temperature-bias-effects.aspx.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The back of the ear and earlobe yielded significantly higher PPG signal amplitude than the hand and postauricular region (i.e., neck behind the ear), but LDV values and comparisons to the fingertips and the rest of the face were not significant.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.3. Body Site of Measurement
What the sources say
- Not checked yetcites [144] Tur, 1983, Basal perfusion of the cutaneous microcirculation: Measurements as a function of anatomic position, J. Investig. Dermatol. source
plainn = 10- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Overall, the literature has shown that the fingertips have the thinnest skin, followed by the forearm, dorsal hand, cheek, and forehead [139].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.3. Body Site of Measurement
What the sources say
- Not checked yetcites [139] Dahlqvist, 2018, Vibrotactile and thermal perception and its relation to finger skin thickness, Clin. Neurophysiol. Pract. source
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“They reported a 2.6-times increase in PPG amplitude, 93% decrease in LDF flux, and median decrease of 0.089 degrees Celsius [150].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.4. Local Body Temperature
What the sources say
- Not checked yetcites [150] Allen, 2002, Microvascular blood flow and skin temperature changes in the fingers following a deep inspiratory gasp, Physiol. Meas. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“All these motions range between 0.1 and 20 Hz, which is within the frequency range for heart rate (1–4 Hz) [163].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [163] Zong, C., and Jafari, R. (2015, January 25–29). Robust heart rate estimation using wrist-based PPG signals in the presence of intense physical activities. Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Fallet et al. found via iPPG that for all wavelengths of light, the forehead is superior to the cheeks and the whole face for determining heart rate.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.3. Body Site of Measurement
What the sources say
- Not checked yetcites [146] Fallet, S., Moser, V., Braun, F., and Vesin, J.-M. (2016, January 11–14). Imaging photoplethysmography: What are the best locations on the face to estimate heart rate?. Proceedings of the 2016 Computing in Cardiology Conference (CinC), Vancouver, BC, Canada. source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Adjusting positions or tapping a finger can be considered a micro-motion, while a macro-motion is performing an exercise such as walking or jogging—both types of motion cause more significant fluctuations to the signal than sedentary motions.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Motion artifacts are picked up by PPG sensors and cause fluctuations within the collected signal.
In the paper
“Grabovskis et al. noted that the amount of pressure applied is often underreported and can manipulate the resultant PPG waveform [132].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.2. Venous Pulsations
What the sources say
- Not checked yetcites [132] Grabovskis, 2013, Effect of probe contact pressure on the photoplethysmographic assessment of conduit artery stiffness, J. Biomed. Opt. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Additionally, PTT is also similar bilaterally at the ears and finger, while a small difference exists at the toes [91].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.3. Body Site of Measurement
What the sources say
- Not checked yetcites [91] Allen, 2002, Age-related changes in peripheral pulse timing characteristics at the ears, fingers and toes, J. Hum. Hypertens. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, while physiological temperature changes due to thermoregulation may impact a signal, studies detailing changes caused by external temperatures also illustrate significant PPG impact.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.4. Local Body Temperature
hedgedconditionaln = 16- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The authors conclude that PPG quality is improved with warm temperatures, yet do not mention the effect of thermoregulatory responses [155].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.4. Local Body Temperature
What the sources say
- Not checked yetcites [154] Khan, 2015, Investigating the effects of temperature on photoplethysmography, IFAC Pap. Online source
plaindirectn = 20- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“With the addition of motion artifacts within a PPG signal, results for SpO2, heart rate, and other PPG dependent measurements can be skewed. This can create false alarms or inaccurate readings.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Motion artifacts are picked up by PPG sensors and cause fluctuations within the collected signal.
In the paper
“Additionally, the authors noted a consistent increase in signal amplitude in the wrist PPG compared to the finger PPG.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.3. Body Site of Measurement
What the sources say
- Not checked yetcites [26] Rajala, 2018, Comparison of photoplethysmogram measured from wrist and finger and the effect of measurement location on pulse arrival time, Physiol. Meas. source
plaincorrelationaln = 30- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“They determine that the appropriate amount of pressure is such that the b/a ratio of the SDPPG is equal to 0.70. This means that the external pressure on the arterial wall is equal to the mean arterial pressure [132].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.2. Venous Pulsations
What the sources say
- Not checked yetcites [132] Grabovskis, 2013, Effect of probe contact pressure on the photoplethysmographic assessment of conduit artery stiffness, J. Biomed. Opt. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“It was determined that green was the best option due to its higher correlation coefficient, but blue is an alternative option due to its significantly similar ΔSNR as green.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [164] Lee, J., Matsumura, K., Yamakoshi, K.-I., Rolfe, P., Tanaka, S., and Yamakoshi, T. (2013, January 3–7). Comparison between red, green and blue light reflection photoplethysmography for heart rate monitoring during motion. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“With their longer wavelengths, red and IR have deeper penetration depths compared to blue and green, making them prone to more motion artifacts such as the factors that directly affect the DC baseline [162,164].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [162] Maeda, 2011, Relationship between measurement site and motion artifacts in wearable reflected photoplethysmography, J. Med. Syst. source
- Not checked yetcites [164] Lee, J., Matsumura, K., Yamakoshi, K.-I., Rolfe, P., Tanaka, S., and Yamakoshi, T. (2013, January 3–7). Comparison between red, green and blue light reflection photoplethysmography for heart rate monitoring during motion. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In another study, performed by Dooley et al., the comparison was made between the Apple Watch (AP), FB, and Garmin Forerunner 225 (GF), where the AP was considered the best in terms of MAPE (1.14–6.70%), while the FB and the GF had a MAPE of 2.38–16.99% and 7.87–24.38%, respectively [167].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [167] Dooley, 2017, Estimating accuracy at exercise intensities: A comparative study of self-monitoring heart rate and physical activity wearable devices, JMIR mHealth uHealth source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The AP (p = 0.84) and GF (p = 0.35) had no significant difference in HR readings from the ECG during vigorous intensity.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [167] Dooley, 2017, Estimating accuracy at exercise intensities: A comparative study of self-monitoring heart rate and physical activity wearable devices, JMIR mHealth uHealth source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“They found their algorithm to have an accuracy of 83 ± 11%, a sensitivity of 89 ± 10 %, and a specificity of 77 ± 19%.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [169] Sukor, 2011, Signal quality measures for pulse oximetry through waveform morphology analysis, Physiol. Meas. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“When comparing their algorithm to an ECG, they were able to lower the error in heart rate readings to 0.49 ± 0.66 bpm, whereas without the algorithm, the error was 7.23 ± 5.78 bpm.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [169] Sukor, 2011, Signal quality measures for pulse oximetry through waveform morphology analysis, Physiol. Meas. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This shows that, depending on the exercise, each tracker will have a different accuracy, which could be attributed to the different noise-canceling algorithms used on board.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“This study also showed that the Apple Watch 4 had the highest accuracy with an MAE of 2.7 BPM at rest and 4.6 BPM during the walking phase,”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [46] Bent, 2020, Investigating sources of inaccuracy in wearable optical heart rate sensors, NPJ Digit. Med. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“During the low-intensity events, the BP provided accurate heart rate readings (r = 0.84, p < 0.05), while the FB had a moderate correlation (r = 0.73, p < 0.05).”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [165] Jo, 2016, Validation of biofeedback wearables for photoplethysmographic heart rate tracking, J. Sports Sci. Med.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“When going from a resting phase to a low-intensity walking phase, they found that the correlation coefficient went down but had slowly rebounded when moved into a more intense walking phase.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [166] Stahl, 2016, How accurate are the wrist-based heart rate monitors during walking and running activities? Are they accurate enough?, BMJ Open Sport Exerc. Med. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“High-intensity events caused the BP to have a weaker correlation (r = 0.77, p < 0.05), whereas the FB had the weakest correlation (r = 0.58, p < 0.05).”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [165] Jo, 2016, Validation of biofeedback wearables for photoplethysmographic heart rate tracking, J. Sports Sci. Med.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Aside from location and wavelength, the intensity of motion also plays a role in how accurate heart rate monitoring is.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“These results align with an assessment done by Stahl et al., where they measured the mean absolute percentage error values (MAPE) of BP and the FB to be 3.6% and 6.2%, respectively [166].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [166] Stahl, 2016, How accurate are the wrist-based heart rate monitors during walking and running activities? Are they accurate enough?, BMJ Open Sport Exerc. Med. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Accelerometers and gyroscopes are the standards, but when trying to measure micro motions such as finger tapping, accelerometers and gyroscopes do not always pick up on the motion because the wrist remains still.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“They were able to achieve an accuracy of 93.7% during a daily motion experiment, and they saw a significant reduction in error for SpO2 and heart rate measurements.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [170] Chong, 2014, Photoplethysmograph signal reconstruction based on a novel hybrid motion artifact detection–reduction approach. Part I: Motion and noise artifact detection, Ann. Biomed. Eng. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The discussed detection methods are all real-time ways to detect and eliminate sections of acquired PPG signals that contain corrupted areas due to motion artifacts.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“Kurtosis and Shannon Entropy were the measurements used by Selvaraj et al. to determine motion artifacts, and they were able to perform an accuracy of 88.8% in a laboratory setting [174].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [174] Selvaraj, N., Mendelson, Y., Shelley, K.H., Silverman, D.G., and Chon, K.H. (September, January 30). Statistical approach for the detection of motion/noise artifacts in Photoplethysmogram. Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“With the use of adaptive filters and secondary sensors, motion artifacts can be identified and eliminated, or they can be identified and reconstructed to restore the original PPG signal, void of all motion artifacts.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“They discovered skew and kurtosis measurements in the time domain to be higher when there was corruption, and the frequency-domain kurtosis was smaller when there was corruption.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [173] Krishnan, R., Natarajan, B., and Warren, S. (April, January 31). Analysis and detection of motion artifact in photoplethysmographic data using higher order statistics. Proceedings of the 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, USA. source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“They were able to achieve a specificity of 92.7% and a sensitivity of 82.7%.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [172] Couceiro, R., Carvalho, P., Paiva, R.P., Henriques, J., and Muehlsteff, J. (September, January 28). Detection of motion artifacts in photoplethysmographic signals based on time and period domain analysis. Proceedings of the 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, USA. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one. The quote only partly states this claim.
In the paper
“They were able to achieve a positive predictive value of 96.68% and a sensitivity of 98.93%.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [171] Karlen, W., Ansermino, J.M., and Dumont, G. (September, January 28). Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications. Proceedings of the 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, USA. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Both the piezoelectric transducer and another wavelength of light can pick up these finer motions [181,182].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.1. Motion Artifacts
What the sources say
- Not checked yetcites [181] Lee, 2019, Motion artifact identification and removal from wearable reflectance photoplethysmography using piezoelectric transducer, IEEE Sens. J. source
- Not checked yetcites [182] Zhang, Y., Song, S., Vullings, R., Biswas, D., Simões-Capela, N., van Helleputte, N., van Hoof, C., and Groenendaal, W. (2019). Motion artifact reduction for wrist-worn photoplethysmograph sensors based on different wavelengths. Sensors, 19. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Without force regulation, the coefficient of variation between five posture stages was calculated at 50.9%. The addition of the force regulator dropped the coefficient of variation to 1.8%.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
What the sources say
- Not checked yetcites [212] Sim, 2018, A contact-force regulated photoplethysmography (PPG) platform, AIP Adv. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Grabovskis et al. reported with an applied pressure range of 0–15 kPa, there was a variation of over 300 percent in the b/a ratio [209]. When an optimal pressure was reached, the variation coefficient dropped to less than 5 percent.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
What the sources say
- Not checked yetcites [209] Grabovskis, A., Marcinkevics, Z., Rubenis, O., Rubins, U., and Lusa, V. (2012, January 16–19). Photoplethysmography system for blood pulsation detection in unloaded artery conditions. Proceedings of the Biophotonics: Photonic Solutions for Better Health Care III, Brussels, Belgium. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“For shorter wavelengths, the occlusion pressure was lower, as more superficial arterioles with low MAP were in the light path at these wavelengths.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
What the sources say
- Not checked yetcites [210] Spigulis, J., Gailite, L., Erts, R., and Lihachev, A. (2007, January 17–19). Contact probe pressure effects in skin multi-spectral photoplethysmography. Proceedings of the European Conference on Biomedical Optics, Munich, Germany. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The change in these fundamental features can affect other measurements such as the b/a ratio, derived from the a and b peaks of the second derivative of a PPG signal, used to characterize arterial stiffness [132], the relationship between the frequency response of a PPG signal and a blood pressure signal [207], or the pulse transit time (PTT) which is used as an indicator for fluctuating stiffness”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
What the sources say
- Not checked yetcites [132] Grabovskis, 2013, Effect of probe contact pressure on the photoplethysmographic assessment of conduit artery stiffness, J. Biomed. Opt. source
- Not checked yetcites [207] Hsiu, 2011, Effects of different contacting pressure on the transfer function between finger photoplethysmographic and radial blood pressure waveforms, Proc. Inst. Mech. Eng. Part H J. Eng. Med. source
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As the external pressure exceeds the point where the transmural pressure is no longer zero, the vessel begins to occlude, and the AC amplitude begins to decrease until there is no longer a signal where the vessel is occluded.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“At 60 mmHg, there were the greatest R2 values for four out of five harmonics, and with the different applied pressures, the R2 values ranged from 0.13 to 0.77 for the first harmonic.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
What the sources say
- Not checked yetcites [207] Hsiu, 2011, Effects of different contacting pressure on the transfer function between finger photoplethysmographic and radial blood pressure waveforms, Proc. Inst. Mech. Eng. Part H J. Eng. Med. source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“As reported by Teng and Zhang, with an applied force at the finger of 0.2–1.8 N, there was an increase in AC amplitude and AC/DC ratio until the parameters reached a peak and then decreased, while the pulse area decreased, and the DC offset increased [206].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
What the sources say
- Not checked yetcites [206] Teng, 2004, The effect of contacting force on photoplethysmographic signals, Physiol. Meas. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Lastly, for the PTT calculated at 90% of the pulse amplitude, there was a similar increasing trend for the PTT but without a significant difference (p = 0.107). The PTT leveled out to a constant value for a transmural pressure of around 0.1 N.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
What the sources say
- Not checked yetcites [208] Teng, 2006, The effect of applied sensor contact force on pulse transit time, Physiol. Meas. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“This band would apply a skin pressure of about 75 mmHg and, due to its compliance, it would hold steady the applied pressure while the finger was in different positions.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
What the sources say
- Not checked yetcites [213] Rhee, 2001, Artifact-resistant power-efficient design of finger-ring plethysmographic sensors, IEEE Trans. Biomed. Eng. source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Various attempts are also made in the PPG sensing circuitry level to effectively reject DC photocurrent.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.2. Ambient Light
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“PPG signals are low-amplitude signals and have a normal pulse frequency within the range of 0.5 to 4 Hz [195,196].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.2. Ambient Light
What the sources say
- Not checked yetcites [195] Wong, 2005, A near-infrared heart rate measurement IC with very low cutoff frequency using current steering technique, IEEE Trans. Circuits Syst. I Regul. Pap. source
- Not checked yetcites [196] Moraes, J.L., Rocha, M.X., Vasconcelos, G.G., Vasconcelos Filho, J.E., de Albuquerque, V.H.C., and Alexandria, A.R. (2018). Advances in photopletysmography signal analysis for biomedical applications. Sensors, 18. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“With the change in transmural pressure, there is also a related compliance change in the affected vessel. The vessel reaches maximum compliance when the transmural pressure is zero [205].”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
What the sources say
- Not checked yetcites [205] Forster, 1986, Oscillometric determination of diastolic, mean and systolic blood pressure—A numerical model, J. Biomech. Eng. source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“With a low bandwidth of around 5 Hz, PPG signals can be extracted out from high frequency noise using a low-pass filter and from low frequency noise using a high-pass filter (e.g., to reject 60 Hz room lights and to reject DC sunlight).”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.2. Ambient Light
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“This method was found to be effective in shielding from noise due to ambient light, as the DC level of the PPG signal was considerably low (measured to be less than 2 nA) when the LEDs were switched off.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.2. Ambient Light
What the sources say
- Not checked yetcites [200] Wang, 2007, Multichannel reflective PPG earpiece sensor with passive motion cancellation, IEEE Trans. Biomed. Circuits Syst. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Several characteristics of the PPG waveform are affected by changes in contact force, including; the AC amplitude, the DC offset amplitude, the ratio of AC/DC amplitudes, and the normalized pulse area.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 4. External Factors > 4.3. Applied Pressure to Measurement Site
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper relies on this without support.
The findings of the cited studies on specific PPG devices and populations are applicable to PPG-based continuous cardiovascular monitoring devices in general.
“Systems aiming to derive such complex parameters do not always account for realistic sources of noise, as testing is performed within controlled parameter spaces.”
The paper relies on this without support.
The Fitzpatrick scale is a valid proxy for skin pigmentation relevant to PPG light-tissue interactions.
“The most common way to characterize skin tone is via the Fitzpatrick Scale [37].”
The paper relies on this without support.
The physiological changes associated with obesity measured in the cited studies are present in the target population of PPG users.
“The variation of BMI across individuals is thus a potential source of variation for PPG measurements.”
The paper relies on this without support.
Gender is binary.
“While the wide spectrum of ages can make it a difficult parameter to incorporate into models, gender is binary, making it easier to incorporate.”
The paper relies on this without support.
PWV is highly dependent on vascular stiffness and is observable through PPG.
“PWV is highly dependent on vascular stiffness and is observable through PPG.”
The paper relies on this without support.
Pulse pressure is dependent on both arterial stiffness and cardiac output.
“Pulse pressure is dependent on both arterial stiffness and cardiac output.”
The paper relies on this without support.
Motion artifacts are picked up by PPG sensors and cause fluctuations within the collected signal.
“Within all settings, motion artifacts are picked up by the sensor and cause fluctuations within the collected signal.”
The paper relies on this without support.
Ambient light intensity is generally multiple orders of magnitude larger than the pulsatile (AC) component of the PPG, which can lead to signal saturation.
“The ambient light intensity can be a zero frequency (e.g., DC), such as sunlight, or at a variable frequency, as from room lights (e.g., 60 Hz in the US) and is generally multiple orders of magnitude larger than the pulsatile (AC) component of the PPG, which can lead to signal saturation.”
The paper relies on this without support.
Only a limited number of RCIM PPG devices have FDA approval.
“However, only a limited number of RCIM PPG devices have FDA approval.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Technological limitations are primarily sensor-related - such as LED wavelength, light intensity, and placement - while algorithmic limitations stem from biased datasets, poor calibration, and underrepresentation of darker skin in training cohorts.”
From Photoplethysmography in Diverse Skin Tones: Evaluating Bias in Smartwatch Health Monitoring (2025) · cites this paper as [28]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Nonetheless, statistically reliable patterns tied to phenotype, particularly adiposity, and, to a lesser extent, skin pigmentation, were evident and align with the optical and physiological mechanisms described in prior work [13,43].”
From PPG-Based Heart Rate Accuracy in Hispanic Adults with Fitzpatrick III–V Skin Tones: An Evaluation of Body Composition and Skin-Tone Effects (2026) · cites this paper as [43]
In the citing paper
“Melanin attenuates the wavelength of the incident light and limits the penetration to the subcutaneous tissue because is high light-absorbing [80,101].”
From Skin pigmentation influence on pulse oximetry accuracy: a systematic review and bibliometric analysis (2022) · cites this paper as [101]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
“PWV, which has been shown to decrease as a function of age.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
“an increase in pulse wave velocity with age is related to a diminished dicrotic notch.”
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 2. Individual Variations in the Human Population > 2.3. Age
“this work featured 36 individuals ranging in age from only 33 to 58.”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.3. Body Site of Measurement
“Hartmann et al. performed a similar study in 36 healthy subjects (12 male, 24 female, mean age of 33)”
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.4. Local Body Temperature
“For silicon photodiodes, the absorption coefficient increases with temperature”
§ Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring > 3. Physiology > 3.4. Local Body Temperature
“the detectors will absorb less light at higher temperatures”
Citations
Cites
1 retracted
Uçar, M. K., Bozkurt, M. R., Bilgin, C., & Polat, K. (2018) · Neural Computing and Applications · doi:10.1007/s00521-016-2365-x · Cited by 106
RetractedHeart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Beaton, A. Z., Boehme, A. K., Buxton, A. E., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001123 · Cited by 8,300
General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study
D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008) · Circulation · doi:10.1161/circulationaha.107.699579 · Cited by 7,491 · cited 1×
“more closely resembles a chronological age index, as they correlated PPG features to chronological age and not CVD risk [85].”
BackgroundHeart Disease and Stroke Statistics—2011 Update: A Report From the American Heart Association
Roger, V. L., Go, A. S., Lloyd-Jones, D. M., Adams, R. J., Berry, J. D., Brown, T. M., Carnethon, M. R., Dai, S., de Simone, G., Ford, E. S., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182009701 · Cited by 6,149
Rehospitalizations among Patients in the Medicare Fee-for-Service Program
Jencks, S. F., Williams, M. V., & Coleman, E. A. (2009) · New England Journal of Medicine · doi:10.1056/nejmsa0803563 · Cited by 5,164
Impact of Atrial Fibrillation on the Risk of Death: The Framingham Heart Study
Benjamin, E. J., Wolf, P. A., D’Agostino, R. B., Silbershatz, H., Kannel, W. B., & Levy, D. (1998) · Circulation · doi:10.1161/01.cir.98.10.946 · Cited by 4,575 · cited 2×
“’s work, often referred to as the “Framingham study”[84].”
The validity and practicality of sun-reactive skin types I through VI
Fitzpatrick, T. B. (1988) · Archives of Dermatology · doi:10.1001/archderm.1988.01670060015008 · Cited by 4,339 · cited 3×
“Shown in Figure 2, the Fitzpatrick Scale ranges from 1 to 6, where 1 is near-albino and 6 is highly pigmented skin.”
MethodInfluentialOptical properties of biological tissues: A review
Jacques, S. L. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/11/r37 · Cited by 4,008 · cited 2×
“It is caused by a combination of physical, behavioral, environmental, and genetic factors that lead to the accumulation of body fat [48,58].”
BackgroundPhotoplethysmography and its application in clinical physiological measurement
Allen, J. (2007) · Physiological Measurement · doi:10.1088/0967-3334/28/3/r01 · Cited by 3,967
Poirier, P., Giles, T. D., Bray, G. A., Hong, Y., Stern, J. S., Pi-Sunyer, F. X., & Eckel, R. H. (2006) · Circulation · doi:10.1161/circulationaha.106.171016 · Cited by 3,165 · cited 2×
“In this study, it was acknowledged that capillary recruitment was negatively correlated with blood pressure but positively correlated with insulin sensitivity [57].”
Background
Research works printed but not linked: 3
- Hasan, 2015, A New First-Derivative Related Index to Assess Pulse Wave Transit Time from a Photoplethysmographic Waveform: Age Dependence and Agreement with Normative Data, Int. J. Bioinform. Biomed. Eng., 1, 276
- Goepfert, L., Petersen, C.L., Ansermino, J.M., and Gorges, M. (2018, January 10–13). Evaluation of a Combined PPG/MPG Sensor in Healthy Volunteers. Proceedings of the Anesthesia and Analgesia, Miami, FL, USA.
- Sazonov, E. (2014). Wearable Sensors: Fundamentals, Implementation and Applications, Elsevier.
Cited by
Sorted by citations
Wearable Pressure Sensors for Pulse Wave Monitoring
Meng, K., Xiao, X., Wei, W., Chen, G., Nashalian, A., Shen, S., Xiao, X., & Chen, J. (2022) · Advanced Materials · doi:10.1002/adma.202109357 · Cited by 900
Min, S., Kim, D. H., Joe, D. J., Kim, B. W., Jung, Y.-H., Lee, J. H., Lee, B., Doh, I., An, J., Youn, Y., et al. (2023) · Advanced Materials · doi:10.1002/adma.202301627 · Cited by 290
de Zambotti, M., Goldstein, C. A., Cook, J. D., Menghini, L., Altini, M., Cheng, P., & Robillard, R. (2023) · SLEEP · doi:10.1093/sleep/zsad325 · Cited by 276
“Additionally, increasing skin thickness, which is directly correlated with body mass index (BMI), also dampens PPG signal [96].”
Quigley, K. S., Gianaros, P. J., Norman, G. J., Jennings, J. R., Berntson, G. G., & de Geus, E. J. C. (2024) · Psychophysiology · doi:10.1111/psyp.14604 · Cited by 281
The 2023 wearable photoplethysmography roadmap
Charlton, P. H., Allen, J., Bailón, R., Baker, S., Behar, J. A., Chen, F., Clifford, G. D., Clifton, D. A., Davies, H. J., Ding, C., et al. (2023) · Physiological Measurement · doi:10.1088/1361-6579/acead2 · Cited by 233
Self-citationLiu, G., Lv, Z., Batool, S. A., Li, M.-Z., Zhao, P., Guo, L., Wang, Y., Zhou, Y., & Han, S. (2023) · Small · doi:10.1002/smll.202207879 · Cited by 196
A Review of Wearable Multi-Wavelength Photoplethysmography
Ray, D., Collins, T., Woolley, S., & Ponnapalli, P. (2023) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2021.3121476 · Cited by 155
“Higher body mass index (BMI) and obesity has been shown to produce less accurate HR estimations [54], [62], [63], which has been speculated to be”
BackgroundCabanas, A. M., Fuentes-Guajardo, M., Latorre, K., León, D., & Martín-Escudero, P. (2022) · Sensors · doi:10.3390/s22093402 · Cited by 124
A review of the effect of skin pigmentation on pulse oximeter accuracy
Al-Halawani, R., Charlton, P. H., Qassem, M., & Kyriacou, P. A. (2023) · Physiological Measurement · doi:10.1088/1361-6579/acd51a · Cited by 119
Coutrot, M., Dudoignon, E., Joachim, J., Gayat, É., Vallée, F., & Dépret, F. (2021) · Anaesthesia Critical Care & Pain Medicine · doi:10.1016/j.accpm.2021.100964 · Cited by 119
Scardulla, F., Cosoli, G., Spinsante, S., Poli, A., Iadarola, G., Pernice, R., Busacca, A., Pasta, S., Scalise, L., & D’Acquisto, L. (2023) · Measurement · doi:10.1016/j.measurement.2023.113150 · Cited by 134
Face2PPG: An Unsupervised Pipeline for Blood Volume Pulse Extraction From Faces
Casado, C. Á., & López, M. B. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3307942 · Cited by 109
“…distance between the optical sensors, the contact force effect of the finger PPG oximeter [47], different filtering parameters [48], individual variations among subjects [49], variability in the measurement site [50], and even blood perfusion differences in different body regions [51], among others.”
BackgroundContinuous cuffless blood pressure monitoring with a wearable ring bioimpedance device
Sel, K., Osman, D., Huerta, N., Edgar, A., Pettigrew, R. I., & Jafari, R. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00796-w · Cited by 100
Sel, K., Mohammadi, A., Pettigrew, R. I., & Jafari, R. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00853-4 · Cited by 95
Roos, L. G., & Slavich, G. M. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.08.008 · Cited by 111
“Therefore, whether differences in accuracy exist across populations and at other body sites (e.g., the finger) is unknown (Fine et al., 2021).”
Consumer Wearable Health and Fitness Technology in Cardiovascular Medicine
Petek, B. J., Al‐Alusi, M. A., Moulson, N., Grant, A. J., Besson, C., Guseh, J. S., Wasfy, M. M., Grémeaux, V., Churchill, T. W., & Baggish, A. L. (2023) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.04.054 · Cited by 113
Data quality evaluation in wearable monitoring
Böttcher, S., Vieluf, S., Bruno, E., Joseph, B., Epitashvili, N., Biondi, A., Zabler, N., Glasstetter, M., Dümpelmann, M., Van Laerhoven, K., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-25949-x · Cited by 91
Zhou, Z.-B., Cui, T., Li, D., Jian, J., Li, Z., Ji, S., Li, X., Xu, J., Liu, H., Yang, Y., et al. (2023) · Materials · doi:10.3390/ma16062133 · Cited by 85
“However, despite the current rapid progress in research on continuous BP monitoring devices based on PTT methods, there are still many problems because wearable monitoring sensors are susceptible to various noise sources and external disturbances [23], such as skin color, age, stress, motion artifacts, etc.”
BackgroundValidating cuffless continuous blood pressure monitoring devices
Hu, J., Martin, G., Iyengar, S., Kovell, L. C., Plante, T. B., van Helmond, N., Dart, R. A., Brady, T. M., Turkson‐Ocran, R., & Juraschek, S. P. (2023) · Cardiovascular Digital Health Journal · doi:10.1016/j.cvdhj.2023.01.001 · Cited by 77
Heart rate variability: Evaluating a potential biomarker of anxiety disorders
Tomasi, J., Zai, C. C. H., Pouget, J. G., Tiwari, A. K., & Kennedy, J. L. (2023) · Psychophysiology · doi:10.1111/psyp.14481 · Cited by 66
Decoding tissue biomechanics using conformable electronic devices
Yoon, H., Kim, J., Sadat, D., Barrett, A., Ko, S. H., & Dağdeviren, C. (2024) · Nature Reviews Materials · doi:10.1038/s41578-024-00729-3 · Cited by 72
Peripheral perfusion index of pulse oximetry in adult patients: a narrative review
Sun, X., He, H., Xu, M., & Long, Y. (2024) · European journal of medical research · doi:10.1186/s40001-024-02048-3 · Cited by 55
Six‐arm Stellat Dendritic‐PbS Flexible Infrared Photodetector for Intelligent Healthcare Monitoring
Zhang, T., Ling, C., Wang, X., Feng, B., Cao, M., Xue, X., Xue, Q., Zhang, J., Zhu, L., Wang, C., et al. (2022) · Advanced Materials Technologies · doi:10.1002/admt.202200250 · Cited by 53
Blood pressure measurement using only a smartphone
Frey, L., Menon, C., & Elgendi, M. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00629-2 · Cited by 55
“Note that Fine et al.34 reported physiological differences between men and women can impact the photoplethysmography (PPG) waveform and other physiological signals.”
BackgroundCuffless Blood Pressure in clinical practice: challenges, opportunities and current limits.
Henry, B., Merz, M., Hoang, H., Abdulkarim, G., Wosik, J., & Schoettker, P. (2024) · Blood Pressure · doi:10.1080/08037051.2024.2304190 · Cited by 55
“Ambient light, temperature, and other environmental conditions also interfere with PPG signals [139].”
Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation
Harmon, D., Sehrawat, O., Maanja, M., Wight, J., & Noseworthy, P. A. (2023) · Arrhythmia & Electrophysiology Review · doi:10.15420/aer.2022.31 · Cited by 52
Yao, P., Xue, N., Yin, S., You, C., Guo, Y., Shi, Y., Liu, T., Yao, L., Zhou, J., Sun, J., et al. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3167059 · Cited by 49
“the device itself (such as movement artifacts, ambient light, and pressure on the skin) may interfere with PPG [50].”
BackgroundAutomated loss of pulse detection on a consumer smartwatch
Shah, K., Wang, A., Chen, Y., Munjal, J., Chhabra, S., Stange, A., Wei, E., Phan, T., Giest, T., Hawkins, B., et al. (2025) · Nature · doi:10.1038/s41586-025-08810-9 · Cited by 44
“We note this is, to some degree, expected because motion is widely acknowledged to contaminate PPG measurements 41,42 , especially given the reduced signal quality of wrist PPG compared to measurement at the fingertip 43,44 .”
Artificial Intelligence in Atrial Fibrillation: From Early Detection to Precision Therapy
Karakasis, P., Theofilis, P., Sagris, Μ., Pamporis, K., Stachteas, P., Sidiropoulos, G., Vlachakis, P. K., Patoulias, D., Antoniadis, A. P., & Fragakis, N. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14082627 · Cited by 53
“One significant limitation is the susceptibility of PPG signals to motion artifacts and ambient noise, which can contribute to false-positive detections [39].”
Photoplethysmography—new applications for an old technology: a sleep technology review
Ryals, S. M., Chiang, A. A.-P., Schutte-Rodin, S., Chandrakantan, A., Verma, N., Holfinger, S. J., Abbasi-Feinberg, F., Bandyopadhyay, A., Baron, K. G., Bhargava, S., et al. (2022) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.10300 · Cited by 43
Are Activity Wrist-Worn Devices Accurate for Determining Heart Rate during Intense Exercise?
Martín-Escudero, P., Cabanas, A. M., Dotor-Castilla, M. L., Galindo-Canales, M., Miguel‐Tobal, F., Fernández, C., Fuentes, M. E., & Giannetti, R. (2023) · Bioengineering · doi:10.3390/bioengineering10020254 · Cited by 41
Rodrigues, E., Lima, D., Barbosa, P. E. E. S., Gonzaga, K. D. A., Guerra, R. O., Pimentel, M. M., Barbosa, H. A., & Maciel, Á. C. C. (2022) · Sensors · doi:10.3390/s22052001 · Cited by 38
“, skin tone, obesity, age, gender, respiration, venous pulsation, body temperature, motion artifacts, and ambient light) [20], we adopted a method that seeks to approximate the data obtained from wearable devices to the data coming from ECG sensors, providing a dataset composed of IPI as inputs and the Inter-Beat Inte…”
MethodSkin colour affects the accuracy of medical oxygen sensors
Keller, M. D., Harrison-Smith, B., Patil, C., & Arefin, M. S. (2022) · Nature · doi:10.1038/d41586-022-03161-1 · Cited by 38
Singh, S., Bennett, M. R., Chen, C., Shin, S., Ghanbari, H., & Nelson, B. W. (2024) · Journal of Medical Internet Research · doi:10.2196/62769 · Cited by 36
“Researchers have identified several factors that influence the accuracy of PPG-based measurements, including skin temperature, sensor contact pressure, skin thickness, and hydration level [5,6].”
An In-Ear PPG-Based Blood Glucose Monitor: A Proof-of-Concept Study
Hammour, G., & Mandic, D. P. (2023) · Sensors · doi:10.3390/s23063319 · Cited by 39
Al-Halawani, R., Qassem, M., & Kyriacou, P. A. (2024) · Scientific Reports · doi:10.1038/s41598-024-58435-7 · Cited by 36
A Survey of Photoplethysmography and Imaging Photoplethysmography Quality Assessment Methods
Desquins, T., Bousefsaf, F., Pruski, A., & Maaoui, C. (2022) · Applied Sciences · doi:10.3390/app12199582 · Cited by 35
Contactless Arterial Blood Pressure Waveform Monitoring with mmWave Radar
Hu, Q., Zhang, Q., Lü, H., Wu, S., Zhou, Y., Huang, Q., Chen, H., Chen, Y.-C., & Zhao, N. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3699781 · Cited by 32
Performance evaluation of a wrist-worn reflectance pulse oximeter during sleep
Jung, H., Kim, D., Lee, W. Y., Seo, H., Seo, J.-W., Choi, J., & Joo, E. Y. (2022) · Sleep Health · doi:10.1016/j.sleh.2022.04.003 · Cited by 31
Wearable PZT Piezoelectric Sensor Device for Accurate Arterial Pressure Pulse Waveform Measurement
Li, M.-Y., Aoyama, J., Inayoshi, K., & Zhang, H. (2025) · Advanced Electronic Materials · doi:10.1002/aelm.202400852 · Cited by 31
Babu, A., Ranpariya, S., Sinha, D. K., Chatterjee, A., & Mandal, D. (2023) · Advanced Materials Technologies · doi:10.1002/admt.202202021 · Cited by 30
Advances in PPG Sensors Data Acquisition With Light-to-Digital Converters: A Review
Chettri, N., Aprile, A., Bonizzoni, E., & Malcovati, P. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3420170 · Cited by 29
“…is caused due to ambient light interference; this results in inaccuracies during the estimation of physiological parameters like HR. Ambient light interference can arise from a plethora of sources, including constant frequency ones like sunlight to variable frequency ones like indoor lighting [47].”
BackgroundCohen, J. B., Byfield, R. L., Hardy, S. T., Juraschek, S. P., Miller, N. H., Mukkamala, R., Picone, D. S., Thiele, R. H., Yang, E., & Brady, T. M. (2025) · Hypertension · doi:10.1161/hyp.0000000000000254 · Cited by 29
Hu, X., Sgherza, T. R., Nothrup, J. B., Fresco, D. M., Naragon‐Gainey, K., & Bylsma, L. M. (2024) · Behavior Research Methods · doi:10.3758/s13428-024-02387-3 · Cited by 32
“…ECG directly measures the electrical signals generated by cardiovascular activities and is susceptible to noises such as muscle activities, PPG indirectly assesses cardiovascular activities by gauging blood volume fluctuations and is prone to interferences such as ambient light (Fine et al., 2021).”
PPG and Bioimpedance-Based Wearable Applications in Heart Rate Monitoring—A Comprehensive Review
Lapsa, D., Janeliukštis, R., Metshein, M., & Selavo, L. (2024) · Applied Sciences · doi:10.3390/app14177451 · Cited by 30
Koch, M., Matzke, I., Huhn, S., Sié, A., Boudo, V., Compaoré, G., Maggioni, M. A., Bunker, A., Bärnighausen, T., Dambach, P., et al. (2023) · JMIR mhealth and uhealth · doi:10.2196/46980 · Cited by 24
“In previous studies, various noise sources have been identified that impaired the photoplethysmography signals and caused inaccurate measurements [71].”
Guarducci, S., Jayousi, S., Caputo, S., & Mucchi, L. (2025) · Sensors · doi:10.3390/s25020556 · Cited by 29
“These metrics provide valuable insights into autonomic function, cardiovascular health, and respiratory patterns [84,85].”
InfluentialSato, S., Hiratsuka, T., Hasegawa, K., Watanabe, K., Obara, Y., Kariya, N., Shinba, T., & Matsui, T. (2023) · Sensors · doi:10.3390/s23083867 · Cited by 25
“Accurate peak positions and pulse waveforms are needed to extract HRV data, as well as data for other cardiovascular parameters such as blood pressure, from PPG waveforms [40,41].”
BackgroundAdvances in Photoplethysmography for Personalized Cardiovascular Monitoring
Kim, S., Xiao, X., & Chen, J. (2022) · Biosensors · doi:10.3390/bios12100863 · Cited by 25
“Food and Drug Administration are limited because of the numerous sources of noise that can impede the output of the PPG [26].”
BackgroundGajda, R., Gajda, J., Czuba, M., Knechtle, B., & Drygas, W. (2023) · Sports Medicine · doi:10.1007/s40279-023-01948-4 · Cited by 34
Matzke, I., Huhn, S., Koch, M., Maggioni, M. A., Munga, S., Muma, J. O., Odhiambo, C. O., Kwaro, D., Obor, D., Bärnighausen, T., et al. (2024) · JMIR mhealth and uhealth · doi:10.2196/54669 · Cited by 22
“Moreover, gender may present contradictory effects on the data collection [40].”
BackgroundInfluentialKhalili, M., Lingawi, S., Hutton, J., Fordyce, C. B., Christenson, J. M., Shadgan, B., Grunau, B. E., & Kuo, C. (2024) · Scientific Reports · doi:10.1038/s41598-024-74117-w · Cited by 26
“Additionally, various artifacts, such as sensor attachment issues, contribute to suboptimal measurements and potentially inaccurate PPG measurements on the wrist 41 .”
BackgroundHermans, F., Arents, E., Blondeel, A., Janssens, W., Cardinaels, N., Calders, P., Troosters, T., Derom, E., & Demeyer, H. (2024) · JMIR mhealth and uhealth · doi:10.2196/56027 · Cited by 28
“…with COPD on inhaled and systemic steroids, improve reflection of lights for measuring clinical parameters through photople-thysmography compared to slightly thicker skins in healthy controls as the distance of the infrared light to measure volumetric changes in the blood is reduced [51-53].”
BackgroundHeartbeat Detection in Gyrocardiography Signals without Concurrent ECG Tracings
Parlato, S. J., Centracchio, J., Esposito, D., Bifulco, P., & Andreozzi, E. (2023) · Sensors · doi:10.3390/s23136200 · Cited by 23
Ho, M. Y., Pham, H. M., Saeed, A., & Ma, D. (2025) · Scientific Data · doi:10.1038/s41597-025-04453-7 · Cited by 25
Photoplethysmography based atrial fibrillation detection: a continually growing field
Ding, C., Xiao, R., Wang, W., Holdsworth, E., & Hu, X. (2024) · Physiological Measurement · doi:10.1088/1361-6579/ad37ee · Cited by 29
“It encompasses accessibility issues, particularly for individuals from rural areas or those with disadvantaged socioeconomic statuses, as well as physiological factors like skin tone and obesity, which can influence the reliability of PPG readings (Ajmal et al 2021, Fine et al 2021).”
Oxygen Saturation Behavior by Pulse Oximetry in Female Athletes: Breaking Myths
Martín-Escudero, P., Cabanas, A. M., Fuentes, M. E., & Galindo-Canales, M. (2021) · Biosensors · doi:10.3390/bios11100391 · Cited by 25
Tourist Experiences Recommender System Based on Emotion Recognition with Wearable Data
Granados, L. H. S., Mendoza-Moreno, J. F., Chantre-Astaiza, Á., Muñoz-Organero, M., & Ramírez-González, G. (2021) · Sensors · doi:10.3390/s21237854 · Cited by 22
“However, not all wearables have the same level of accuracy in getting the physiological signals [29].”
BackgroundInfluentialExternal factors that affect the photoplethysmography waveforms
Pi, I., Pi, I., & Wu, W. (2021) · SN Applied Sciences · doi:10.1007/s42452-021-04906-9 · Cited by 21
“While there are many benefits to the PPG method, there have also been a few instances where unexpected errors occurred due to the sensor’s sensitivity [18].”
BackgroundSanches, C. A., Silva, G. A., Librantz, A. F. H., Sampaio, L. M. M., & Belan, P. A. (2023) · Journal of Medical Internet Research · doi:10.2196/47112 · Cited by 24
Sarkar, S., Ghosh, A., & Kalra, J. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107558 · Cited by 21
Establishing best practices in photoplethysmography signal acquisition and processing
Charlton, P. H., Pilt, K., & Kyriacou, P. A. (2022) · Physiological Measurement · doi:10.1088/1361-6579/ac6cc4 · Cited by 29
Validity of heart rate measurements in wrist-based monitors across skin tones during exercise
Hung, S. H., Serwa, K., Rosenthal, G., & Eng, J. J. (2025) · PLOS ONE · doi:10.1371/journal.pone.0318724 · Cited by 21
“Our results can be generalized to young adults without comorbidities; future studies should examine older and clinical populations to investigate the potential effects of aging and changes in cardiovascular function [54].”
Quality Assessment and Morphological Analysis of Photoplethysmography in Daily Life
Moscato, S., Palmerini, L., Palumbo, P., & Chiari, L. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.912353 · Cited by 21
Støve, M. P., & Hansen, E. C. K. (2022) · Journal of Sports Sciences · doi:10.1080/02640414.2023.2180160 · Cited by 19
“Emerging evidence suggests that obesity (e.g., BMI > 30) may affect PPG signal intensity and quality (Fine et al., 2021).”
BackgroundHeartbeat detector from ECG and PPG signals based on wavelet transform and upper envelopes
Merino-Monge, M., Castro-García, J. A., Lebrato-Vázquez, C., Gómez, I., & Molina-Cantero, A. J. (2023) · Physical and Engineering Sciences in Medicine · doi:10.1007/s13246-023-01235-6 · Cited by 19
Fabric‐Based Ultrasonic Sensor with Integrated Piezoelectric Composite for Blood Pressure Monitoring
Li, B., Wang, T., Luo, D., Peng, P., Wang, Y., Liu, L., Wang, H., & Liu, H. (2023) · Advanced Materials Technologies · doi:10.1002/admt.202201814 · Cited by 20
Liu, J., Hu, S., Wang, Y., Hu, Q., Wang, D., & Yang, C. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3331975 · Cited by 19
“However,severalchallengesexistintheuse ofPPGtechnology[5].”
Hellqvist, H., Karlsson, M. K., Hoffman, J., Kahan, T., & Spaak, J. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1350726 · Cited by 19
Predicting Blood Pressures for Pregnant Women by PPG and Personalized Deep Learning
Nguyen, D. H., Chao, P. C.-P., Yan, H. F., Tu, T.-Y., Cheng, C.-H., & Phan, T.-P. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3386707 · Cited by 19
“…and deep-learning models are developed to predict BPs. Note that to date many learning machines including deep learnings have been developed based on PPG for heart rate regression [23], [24], predicting BPs [14], [15], [16], and classification problems like detecting atrial fibrillation [25], [26].”
Kimball, J. P., Inan, O. T., Convertino, V. A., Cardin, S., & Sawka, M. N. (2022) · Sensors · doi:10.3390/s22020442 · Cited by 19
“PPG signals are very sensitive to ambient temperature and skin temperature in their waveform characteristics [55,56], and thus the combination of PPG (a peripheral measure) with SCG (a central measure) might be advantageous in future work to predict cardiovascular instability in individuals exercising in the heat.”
BackgroundReali, P., Lolatto, R., Coelli, S., Tartaglia, G., & Bianchi, A. M. (2022) · Sensors · doi:10.3390/s22041428 · Cited by 21
“The first derivative of the PPG is largely adopted as an indicator of blood velocity [54]; hence, the fluctuations of its local maxima over time can be analyzed to extract respiratory information.”
BackgroundWu, Z., Li, X., Feng, Z., Wan, C., Ya, L., Li, T., Yang, Q., Liu, X., Ren, M., Li, J., et al. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202202629 · Cited by 20
Sinichi, M., Gevonden, M. J., & Krabbendam, L. (2025) · Psychophysiology · doi:10.1111/psyp.70004 · Cited by 26
Cardiodiagnostics Based on Photoplethysmographic Signals
Georgieva-Tsaneva, G. N., Gospodinova, E. P., & Cheshmedzhiev, K. (2022) · Diagnostics · doi:10.3390/diagnostics12020412 · Cited by 17
“Publication [32] discusses the use of PPG devices for remote patient monitoring.”
BackgroundTissue mimicking materials and finger phantom design for pulse oximetry
Rodriguez, A., Vasudevan, S., Farahmand, M., Weininger, S., Vogt, W. C., Scully, C. G., Ramella‐Roman, J. C., & Pfefer, T. J. (2024) · Biomedical Optics Express · doi:10.1364/boe.518967 · Cited by 17
“Age, sex, body mass index (BMI), and skin color have been shown to influence the signal [3].”
BackgroundSelf-citationHoang, T. T., Cunio, A. M., Zhao, S., Nguyen, T., Peng, S., Liaw, S., Barber, T. J., Zhang, J., Farajikhah, S., Dehghani, F., et al. (2024) · Advanced Sensor Research · doi:10.1002/adsr.202400039 · Cited by 17
Yaşar, M. N., Sica, M., O’Flynn, B., Tedesco, S. A., & Menolotto, M. (2024) · Scientific Data · doi:10.1038/s41597-024-03254-8 · Cited by 19
“The absorption of green light by melanin in those with darker skin tones limits light penetration into the subcutaneous region where blood is present 79 .”
Chang, S.-C., Wang, C., Cheng, K., & Lee, G. (2025) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2025.137949 · Cited by 17
Kantrowitz, A. B., Ben‐David, K., Morris, M., Wittels, H. L., Wishon, M. J., McDonald, S. M., Renaghan, E., Feigenbaum, L. A., & Wittels, S. H. (2025) · Frontiers in Physiology · doi:10.3389/fphys.2025.1630032 · Cited by 23
Wu, M., Liu, I.-F., Tzeng, Y.-H., & Wang, L. (2022) · Physiological Measurement · doi:10.1088/1361-6579/ac7d91 · Cited by 16
Balaraman, K., & Pushpanathan, A. C. S. (2023) · Journal of Machine and Computing · doi:10.53759/7669/jmc202303030 · Cited by 16
Lv, Y., Cen, G., Li, W., Zhao, C., & Mai, W. (2023) · Science China Materials · doi:10.1007/s40843-023-2613-5 · Cited by 16
Monnink, S. H. J., van Vliet, M., Kuiper, M. J., Constandse, J. C., Hoftijzer, D., Muller, M., & Ronner, E. (2024) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-024-01229-z · Cited by 16
“This innovation has the potential to streamline hospital workflows by eliminating the need for a multitude of wires, while also enabling effortless monitor - ing during patient transport and interventions like cardiac catheterisations, preventing gaps in surveillance [24].”
Ling, C., Rong, C., Men, B., Wang, J., Sun, J., Zhang, T., Zhang, L., Guo, T., Zhou, P., & Liu, W. (2025) · Advanced Healthcare Materials · doi:10.1002/adhm.202402507 · Cited by 15
EarPPG: Securing Your Identity with Your Ears
Choi, S., Yim, J., Jin, Y., Gao, Y., Li, J., & Jin, Z. (2023) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3581641.3584070 · Cited by 15
“Particularly, prior studies have shown that PPG signals are altered by the tissue motions and blood vessel deformation [14, 24].”
BackgroundMultiwavelength tissue-mimicking phantoms with tunable vessel pulsation
Jenne, S., & Zappe, H. P. (2023) · Journal of Biomedical Optics · doi:10.1117/1.jbo.28.4.045003 · Cited by 15
Lønfeldt, N. N., Olesen, K. V., Das, S., Mora‐Jensen, A. C., Pagsberg, A. K., & Clemmensen, L. K. H. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1231024 · Cited by 19
“A previous study has demonstrated that the PPG sensors with green light, as the one used in the present study, had increased measurement error with darker skin tones (37).”
MethodMather, J. D., Hayes, L. D., Mair, J. L., & Sculthorpe, N. F. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1326511 · Cited by 17
Radar-Based Heart Rate Sensing on the Smart Glasses
Huang, W., Rajbhandary, P. L., Shiu, S., Ho, J. S., Zhu, J. B., Wilson, B., & Ye, G. (2024) · IEEE Microwave and Wireless Technology Letters · doi:10.1109/lmwt.2024.3391660 · Cited by 15
“PPG faces biases related to skin tone and obesity, impacting accuracy [6].”
BackgroundWearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation
Cheung, M. Y., Sabharwal, A., Coté, G. L., & Veeraraghavan, A. (2024) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2024.3434344 · Cited by 23
“Such corrupted signals contain minimal information about underlying physiology and can be identified visually or through temporal, frequency, and statistical quantities [21].”
InfluentialSelf-citationAl-Halawani, R., Qassem, M., & Kyriacou, P. A. (2024) · Journal of Biomedical Optics · doi:10.1117/1.jbo.29.s3.s33305 · Cited by 17
“27 In addition, contributions from venous pulsations have been hypothesized and measured in some studies, 28,29 indicating that venous blood may influence PPG signals under certain conditions.”
BackgroundInsights into vascular physiology from sleep photoplethysmography
Yılmaz, G., Ong, J. L., Ling, L. H., & Chee, M. W. L. (2023) · SLEEP · doi:10.1093/sleep/zsad172 · Cited by 18
“Nonetheless, the susceptibility of clinical-grade PPG tools to external sources of noise [19], such as motion, limits their use outside controlled laboratory conditions during daytime activity.”
BackgroundAkther, M., Quezada, A. K., Hossain, M. A., Salas, J. I., Alam, M. M., & Uddin, M. J. (2025) · Nano Trends · doi:10.1016/j.nwnano.2025.100165 · Cited by 14
Liu, H., Pan, F., Lei, X., Hui, J., Gong, R., Feng, J., & Zheng, D. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1085871 · Cited by 14
“, which can significantly deform the PPG signals (Fine et al., 2021).”
BackgroundZhang, Y., Qiu, S., Du, K., Wu, S. P., Xiang, T., Zheng, K., Liu, Z., Chen, H., Ji, N., Wang, F., et al. (2026) · Nano-Micro Letters · doi:10.1007/s40820-025-02003-9 · Cited by 18
“Despite its advantages, the accuracy of PPG-based BP monitoring is compromised by motion artifacts, skin pigmentation, tissue thickness, ambient light interference, and even vasomotor activity [30, 31].”
Davydov, R. V., Zaitceva, A. Y., Davydov, V. V., Isakova, D. D., & Mazing, M. S. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13030443 · Cited by 13
“Unfortunately, the most effective BGEA (balance gas–electrolyte analysis) method [10,11] for analyzing blood gases in dynamics is not intended for independent use by patients.”
Quantification of the Phenomena Affecting Reflective Arterial Photoplethysmography
Rovas, G., Bikia, V., & Stergiopulos, N. (2023) · Bioengineering · doi:10.3390/bioengineering10040460 · Cited by 14
“Techniques such as filtering and machine learning have been used to detect and remove the respiratory-induced variations [8] and the venous pulsations [5,9], while the measurement site has to be selected based on the intended application [10] and the intensity of the ballistocardiographic artifacts [11].”
BackgroundMethodHesar, M. E., Seyedsadrkhani, N. S., Khan, D., Naghashian, A., Piekarski, M., Gall, H. J., SCHERMULY, R. T., Ghofrani, H. A., & Ingebrandt, S. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115693 · Cited by 13
Kanniainen, M., Pukkila, T., Kuisma, J., Molkkari, M., Lajunen, K., & Räsänen, E. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1299104 · Cited by 16
Metadata
- Authors
- Fine, J., Branan, K. L., Rodriguez, A. J., Boonya-ananta, T., Ajmal, Ramella-Roman, J. C., McShane, M. J., & Coté, G. L.
- Affiliations
- Texas A&M University (US)
- Florida International University (US)
- Department of Biomedical Engineering, Florida International University, Miami, FL 33174, USA
- Texas A&M Engineering Experiment Station (US)
- Corresponding author
- McShane, Michael J.
- Coté, Gerard L.
- Venue
- Biosensors
- Publisher
- MDPI AG
- Published
- 2021-04-16
- Volume
- 11
- Issue
- 4
- Pages
- 126
- ISSN
- 2079-6374 (ISSN-L)
- PMC
- PMC8073123
- OpenAlex
- W3155015885
- Cited by
- 348
- References
- 212
- Citations by year
- 2026: 80 · 2025: 74 · 2024: 70 · 2023: 74 · 2022: 40 · 2021: 10
- FWCI
- 4.09
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Biosensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Florida International University Digital Commons (Florida International University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (1648451)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
- Keywords
- photoplethysmography, wearable health monitoring, cardiovascular monitoring, motion artifacts, ambient light interference, skin tone, body temperature, heart rate variability, blood pressure estimation, respiration, venous pulsation
- MeSH terms
- Wearable Electronic Devices, Blood Pressure, Heart Rate, Humans, Monitoring, Physiologic, Respiration, Signal Processing, Computer-Assisted, Artifacts, Photoplethysmography
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