Modeling of artifacts in the wrist photoplethysmogram: Application to the detection of life-threatening arrhythmias
Open accessAbstract
A model for simulating motion-induced artifacts in the wrist photoplethysmogram (PPG) is proposed for the purpose to improve realism of PPG models. The database of day-long PPGs, acquired during cardiac rehabilitation, is used to extract artifact characteristics, which further serve as a basis for modeling artifacts in simulated PPGs with life-threatening arrhythmias. Depending on the recording, 14–49% of the PPG duration is corrupted by artifacts, mostly due to device displacement, forearm and hand motion. The artifact type influence on the performance of a life-threatening arrhythmia detector shows that the sensitivity drops by 45–48% for extreme bradycardia and by 13–32% for ventricular tachycardia. Poor contact causes 2–4 times more false alarms of ventricular tachycardia compared to the other artifact types under investigation. Simulation of realistic artifacts encountered in activities of daily living allows to comprehensively investigate arrhythmia detectors and understand the artifact types most negatively affecting detection performance. The proposed PPG artifact model is of importance for developing and testing artifact-robust arrhythmia detectors.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper develops a model for simulating motion-induced artifacts in wrist photoplethysmogram (PPG) signals, using artifact characteristics extracted from ambulatory PPGs. It applies the model to show how different artifact types degrade detection of extreme bradycardia and ventricular tachycardia.
Key findings
- In the ambulatory database, 26.8% of total PPG duration was artifact-corrupted, ranging from 13.6% to 48.6% per recording; day-time artifact burden was 37.0% versus 8.8% at night-time.
- Artifact classification reached average accuracy of 0.98 with a 4-s minimal artifact duration and thresholds ηu = 0.08 g, ηv = 11, ηw = 0.015.
- With a quarter of PPG duration contaminated, sensitivity dropped by 45–48% for extreme bradycardia and by 13–32% for ventricular tachycardia; poor contact caused 2–4 times more ventricular tachycardia false alarms than other artifact types.
- Device displacement produced the largest artifact amplitude, on average 22 times larger than the pulsatile PPG component.
Methods
- Artifact characteristics were derived from a day-long wrist PPG database collected during cardiac rehabilitation (32 patients, six females, 70.5 ± 9.4 years; 686.1 h total, 21.4 ± 3.4 h per patient) and a standardized artifact database (10 healthy participants, five females, 27.1 ± 2.3 years, BMI 22.3 ± 2.5 kg/m²; 1000 artifacts).
- Artifacts were identified with a pulse-to-pulse signal quality index, extracted by canceling a modeled pulsatile PPG component, classified into device displacement, forearm motion, hand motion, and poor contact, then characterized by transition probability, duration, spectral slope, and normalized RMS amplitude.
- The model uses a five-state continuous-time Markov chain and generates artifacts by filtering white noise with a 250th-order FIR filter; it was applied to PhysioNet/CinC Challenge 2015 ECG-derived RR intervals (16 extreme bradycardia and 39 ventricular tachycardia recordings; 227 and 492 episodes, respectively) to simulate 1-h PPGs and test a threshold-based arrhythmia detector.
Limitations
- Stated: the model is restricted to artifacts mostly caused by movement and device attachment; intrinsic PPG disturbances from physiological processes such as respiration, vasoconstriction due to temperature changes, or stress were not considered.
- Evident: the ambulatory cohort consisted of post-myocardial-infarction cardiac rehabilitation patients, so artifact characteristics may not generalize to all free-living users.
- Evident: artifact extraction requires a good-quality reference ECG, and the detector evaluation used a basic threshold-based detector on simulated 1-h PPGs derived from 5-min Challenge recordings.
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Claims the paper makes
0 of 52 cited sources checked · 0 supported · 0 flagged
- Findingreasoning
Poor contact causes 2-4 times more false alarms of ventricular tachycardia compared to the other artifact types under investigation.
“Poor contact causes 2-4 times more false alarms of ventricular tachycardia compared to the other artifact types under investigation.”
- Also stated in: § 5.3. Testing of an arrhythmia detector · plain
“Interestingly, poor contact causes 2-4 times more false alarms compared to the other artifact types.”
Quote in the paperSubstantial claim - Also stated in: § 5.3. Testing of an arrhythmia detector · plain
- Findingown data
Depending on the recording, 14-49% of the PPG duration is corrupted by artifacts.
“Depending on the recording, 14-49% of the PPG duration is corrupted by artifacts, mostly due to device displacement, forearm and hand motion.”
Quote in the paperSubstantial claim - Findingown data
Most artifacts in the ambulatory database were device displacement, forearm motion, and hand motion.
“mostly due to device displacement, forearm and hand motion.”
- Also stated in: § 5.2. Artifact characteristics in the ambulatory database · plain
“Most of the artifacts were identified as device displacement, forearm motion, and hand motion, corrupting 6.4%, 6.2%, and 6.0%, whereas only 1.8% was assigned to poor contact.”
Quote in the paperSubstantial claim - Also stated in: § 5.2. Artifact characteristics in the ambulatory database · plain
- Findingown data
By inspecting PPGs acquired in free-living activities, high-amplitude artifacts similar to PPG pulses, which exceed the threshold ηc = 0.7, have been observed.
“By inspecting PPGs acquired in free-living activities, high-amplitude artifacts similar to PPG pulses, which exceed the threshold η c = 0.7, have been observed.”
Quote in the paperSubstantial claim - Findingown data
Artifact-free intervals prolong during night-time as supported by the decreased rate parameter λ0.
“Artifact-free intervals prolong during night-time as supported by the decreased rate parameter λ0 .”
Quote in the paperNot a substantial claim
- Findingown data
This threshold set yields the average classification accuracy of 0.98.
“This threshold set yields the average classification accuracy of 0.98.”
Quote in the paperNot a substantial claim - Findingown data
For d_min = 4 s, the highest classification accuracy is obtained for threshold values ηu = 0.08 g, ηv = 11 and ηw = 0.015.
“For d min = 4 s, the highest classification accuracy is obtained for the threshold values η u = 0.08 g, η v = 11 and η w = 0.015.”
Quote in the paperSubstantial claim - Findingown data
The use of the SQI has only a slight influence on the reduction in the detection sensitivity of both extreme bradycardia and ventricular tachycardia.
“The use of the SQI has only a slight influence on the reduction in the detection sensitivity of both extreme bradycardia and ventricular tachycardia.”
Quote in the paperSubstantial claim - Findingnone given
Applying the SQI reduces the amount of remaining artifacts at the expense of the duration of analyzable PPG.
“By applying the SQI, the amount of remaining artifacts is reduced with the expense of the duration of analyzable PPG.”
Quote in the paperSubstantial claim - Findingown data
By increasing λ0 from 0.01 to 0.15, the average percentage of the artifact-corrupted PPG increased from 5% to 45%.
“By increasing λ 0 from 0.01 to 0.15, the average percentage of the artifact-corrupted PPG increased from 5% to 45%.”
Quote in the paperSubstantial claim - Findingown data
6.4% of the PPG duration was flagged by the SQI as containing artifacts but was not attributed to any type due to artifact duration shorter than 4 s or unavailability of a good-quality reference ECG.
“In addition, 6.4% of the PPG duration was flagged by the SQI as containing artifacts, but was not attributed to any type due to the artifact duration shorter than 4 s or unavailability of a good-quality reference ECG.”
Quote in the paperNot a substantial claim - Findingown data
On average, at least a quarter of the PPG duration contains artifacts from 06:00 to 22:00 and drops markedly outside this period.
“On average, at least a quarter of the PPG duration contains artifacts from 06:00 to 22:00 and drops markedly outside this period, which coincides well with the most active period of the day.”
Quote in the paperSubstantial claim - Findingown data
The normalized RMS amplitude of different-type artifacts follows a gamma distribution.
“The normalized RMS amplitude of different-type artifacts follows a gamma distribution, see Fig. 9.”
Quote in the paperNot a substantial claim - Findingreasoning
Irrespective of the artifact type, the sensitivity of extreme bradycardia detection drops nearly twice compared to the perfect sensitivity achieved for an artifact-free PPG.
“Irrespective of the artifact type, the sensitivity of extreme bradycardia detection drops nearly twice compared to the perfect sensitivity achieved for an artifact-free PPG.”
Quote in the paperSubstantial claim - Findingown data
In the ambulatory database, 26.8% of the total PPG duration is artifact-corrupted.
“Analysis of the ambulatory database shows that 26.8% of the total PPG duration is artifact-corrupted, covering from 13.6% to 48.6% depending on the recording (Fig. 5).”
Quote in the paperSubstantial claim - Findingown data
The histograms of the duration of different-type artifacts and artifact-free intervals resemble an exponential distribution.
“Fig. 7 shows that the histograms of the duration of different-type artifacts and artifact-free intervals resemble an exponential distribution.”
Quote in the paperSubstantial claim - Findingreasoning
8.3% of PPG pulses were considered artifact-free using the SQI although they were flagged as artifacts by analyzing accelerometer signals.
“That is, 8.3% of pulses were considered as artifact-free using the SQI, although flagged as artifacts by analyzing the accelerometer signals.”
Quote in the paperSubstantial claim - Findingown data
In the ambulatory database, one-sixth of PPG pulses were falsely assigned to artifact-corrupted or artifact-free classes when relying solely on the accelerometer.
“Relying solely on the accelerometer, a one-sixth of PPG pulses were falsely assigned to artifact-corrupted or artifact-free classes in the ambulatory database.”
Quote in the paperSubstantial claim - Findingnone given
8.3% of artifact-corrupted PPG pulses identified by the SQI were not reflected in the accelerometer signal.
“Contrarily, 8.3% of artifact-corrupted pulses, identified by the SQI, were not reflected in the accelerometer signal.”
Quote in the paperSubstantial claim - Findingreasoning
The performance of the life-threatening arrhythmia detector is affected differently by different artifact types.
“This study shows that the performance of the life-threatening arrhythmia detector is affected differently by different artifact types.”
Quote in the paperSubstantial claim - Premisecitation
Ventricular tachycardia evolving to ventricular fibrillation often precedes sudden cardiac death.
“In general, ventricular tachycardia, evolving to ventricular fibrillation, often precedes sudden cardiac death [2].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] source
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- Premisecitation
Even ECG patch monitors, praised for high patient compliance, are limited to 14-day recording.
“Even ECG patch monitors, praised for high patient compliance, are limited to 14-day recording [6].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] source
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- Premisecitation
Existing ECG equipment for noninvasive arrhythmia monitoring is uncomfortable to wear for extended periods because of frequent skin irritation, difficulty of use, and disturbance to daily activities.
“The existing electrocardiogram (ECG) equipment for noninvasive arrhythmia monitoring is uncomfortable to wear for extended periods of time because of frequent skin irritation, difficulty of use, and disturbance to patient's daily activities [5].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] source
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- Premisecitation
Smartwatches with embedded optical sensors are being considered as convenient means for initial cardiac arrhythmia detection.
“Therefore, smartwatches with embedded optical sensors are being considered as convenient means to initial cardiac arrhythmia detection, which may precede and instigate comprehensive medical examination and timely clinical intervention [7,8].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] source
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- cites [8]
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- Premisecitation
Detectors are usually tested in a controlled environment, offering incomplete insight into the feasibility to detect arrhythmias in free-living activities.
“Detectors are usually tested in a controlled environment, thus offering incomplete insight into the feasibility to detect arrhythmias in free-living activities [32].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32]
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- Premisenone given
Only a stationary artifact component can be simulated by the available model without considering various artifact types which may have different influence on the detection performance.
“Unfortunately, only a stationary artifact component can be simulated by the model without considering various artifact types which may have different influence on the detection performance.”
Quote in the paperSubstantial claim - Premisenone given
None of these approaches to artifact suppression have been applied for cardiac arrhythmia detection.
“Yet, none of these approaches to artifact suppression have been applied for cardiac arrhythmia detection.”
Quote in the paperNot a substantial claim - Premisecitation
Only a single attempt to detect life-threatening arrhythmias in a PPG has been published.
“However, thus far only a single attempt to detect life-threatening arrhythmias in a PPG has been published [14].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14]
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- Premisecitation
To build a realistic PPG artifact model, quantitative characteristics such as artifact duration, amplitude, and spectral content have to be accounted for.
“To build a realistic PPG artifact model, quantitative characteristics, such as artifact duration, amplitude, and spectral content, have to be accounted for [35,36].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [35]
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- cites [36]
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- Interpretationcitation
The lack of available databases containing PPGs with annotated arrhythmia episodes can be mitigated by developing and testing arrhythmia detectors on modeled PPGs, thanks to the available model that converts annotated ECG databases to PPG equivalents.
“The problem can be mitigated by developing and testing arrhythmia detectors on modeled PPGs, thanks to the available model that allows to convert annotated ECG databases to PPG equivalents [33,34].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [33] source
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- cites [34]
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- Premisenone given
Annotations must rely on a simultaneously acquired ECG due to the absence of guidelines for a PPG-based arrhythmia diagnosis.
“Another impeding factor is that annotations must rely on a simultaneously acquired ECG due to the absence of guidelines for a PPG-based arrhythmia diagnosis.”
Quote in the paperNot a substantial claim - Premisecitation
A common way to deal with artifact-corrupted PPGs is to exclude segments of poor signal quality and accelerometer-identified motion.
“A common way to deal with artifact-corrupted PPGs, and thus improve the reliability of arrhythmia detectors, is to exclude segments of poor signal quality [10,27,28] as well as accelerometer-identified motion [11][12][13][27][28][29][30].”
Quote in the paperSubstantial claim0 of 4 sources checked - Premisecitation
The percentage of unanalyzable PPG reached 76.0% by also accounting for the accelerometer-identified movement.
“However, the percentage of unanalyzable PPG reached 76.0% by also accounting for the accelerometer-identified movement.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] source
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- Interpretationreasoning
Poor contact is the most difficult artifact type to distinguish from the pulsatile PPG component.
“This can be explained by poor contact being the most difficult type to distinguish from the pulsatile PPG component.”
Quote in the paperSubstantial claim - Premisecitation
Accelerometer-based artifact identification may be ineffective in certain situations because artifacts may arise from other sources, such as poor contact and fine hand movements, which do not reflect in accelerometer signals.
“Such approach may be ineffective in certain situations since artifacts may arise from other sources as well, e.g., poor contact and fine hand movements, which do not reflect in the accelerometer signals [23,27].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [23]
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- cites [27] source
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- Premisecitation
Other PPG simulators represented artifacts as additive harmonic signals.
“Such an approach excels other PPG simulators which generated stationary artifacts based on the characteristics of a single real artifact [33] or represented them as additive harmonic signals [56].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [56] source
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- Premisecitation
Green light is preferred to red and infrared because it does not penetrate deep into tissue, causing fewer artifacts from a non-pulsatile slow-changing component.
“Green is preferred to red and infrared since this wavelength does not penetrate deep into tissue causing fewer artifacts from a non-pulsatile slow-changing component [55].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55] source
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- Interpretationown data
Accelerometer-identified motion is not necessarily a sign of artifacts in the PPG.
“On the other hand, accelerometer-identified motion will not necessarily be a sign of the artifacts in the PPG.”
Quote in the paperSubstantial claim - Premisecitation
Other PPG simulators generated stationary artifacts based on the characteristics of a single real artifact.
“Such an approach excels other PPG simulators which generated stationary artifacts based on the characteristics of a single real artifact [33] or represented them as additive harmonic signals [56].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] source
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- Premisecitation
Artifact characteristics from finger oximetry and neck PPG cannot be straightforwardly transferred to simulating wrist PPG because distinct body locations have different tissue optical properties for different wavelengths and are prone to specific interference.
“Nevertheless, these artifact characteristics cannot be straightforwardly transferred to simulating the wrist PPG since distinct body locations have different tissue optical properties for different wavelengths and are prone to specific interference [54].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [54] source
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- Premisecitation
Among several pulse-to-pulse SQIs, only the one in [10] has been tested in long-term wrist PPGs acquired outside the laboratory setting.
“Out of several pulse-to-pulse SQIs [10,[49][50][51], only the one in [10] has been tested in long-term wrist PPGs acquired outside the laboratory setting and was therefore implemented in this study.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [10] source
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- cites [49] source
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- cites [50] source
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- Rests on an assumption: The identification of artifacts in the PPG depends on the chosen approach to PPG quality assessment.
- Study design and conductcitation
Intrinsic PPG disturbances originating from physiological processes such as respiration, vasoconstriction due to temperature changes or stress have not been considered.
“However, the intrinsic PPG disturbances originating from physiological processes, such as respiration, vasoconstriction due to temperature changes or stress [57], have not been considered.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [57] source
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- Interpretationreasoning
The developed artifact modeling approach excels other PPG simulators.
“Such an approach excels other PPG simulators which generated stationary artifacts based on the characteristics of a single real artifact [33] or represented them as additive harmonic signals [56].”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationnone given
The proposed model allows control of various artifact properties, including artifact type, transition probabilities, and amount of artifact-corrupted PPG.
“Various artifact properties can be controlled by the model, including the artifact type, the transition probabilities and the amount of artifactcorrupted PPG.”
Quote in the paperSubstantial claim - Interpretationreasoning
The contradiction arises because sensitivity was calculated by including all arrhythmia episodes in our study, whereas only those episodes remaining after exclusion of artifact-corrupted PPG parts were included in [13].
“The contradiction arises since the sensitivity was calculated by including all arrhythmia episodes in our study, whereas only those episodes remaining after the exclusion of the artifact-corrupted PPG parts were included in [13].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] source
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- May combine two claims. 22
- Classified as probably not a substantial claim. 18
May combine two claims.
Findingown dataThe artifact type influences the performance of a life-threatening arrhythmia detector: sensitivity drops by 45-48% for extreme bradycardia and by 13-32% for ventricular tachycardia.
“The artifact type influence on the performance of a life-threatening arrhythmia detector shows that the sensitivity drops by 45-48% for extreme bradycardia and by 13-32% for ventricular tachycardia.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningArtifacts cause almost no false alarms of extreme bradycardia, resulting in nearly perfect positive predictive value, but adversely affect false alarm rate of ventricular tachycardia.
“For the same reason, artifacts cause almost no false alarms of extreme bradycardia, resulting in nearly perfect positive predictive value, but adversely affect false alarm rate of ventricular tachycardia.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the ambulatory database, a quarter of the PPG duration was identified as corrupted by artifacts, which is higher than 10.8% reported in [10], but much lower than 44% in [12] and 65.2% in [48].
“In the ambulatory database, a quarter of the PPG duration was identified as corrupted by artifacts, which is higher than 10.8% reported in [10], but much lower than 44% in [12] and 65.2% in [48].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [10]
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- cites [12]
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- cites [48] source
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Findingown dataThe number of false alarms of ventricular tachycardia reduces markedly and the positive predictive value approaches 1 when applying the SQI.
“However, the number of false alarms of ventricular tachycardia reduces markedly and the positive predictive value approaches 1.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data37.0% of the total PPG duration is attributed to artifacts for day-time, and 8.8% for night-time.
“By using such subdivision, 37.0% of the total PPG duration is attributed to artifacts for day-time, and 8.8% for night-time.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAll types of artifacts are less frequent and usually shorter during night-time.
“This finding coincides with the fact that all types of artifacts are less frequent and usually shorter during nighttime.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDevice displacement, on average, causes the largest artifact amplitude which is 22 times larger than that of the pulsatile PPG component.
“Device displacement, on average, causes the largest artifact amplitude which is 22 times larger than that of the pulsatile PPG component.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationThe percentage of the artifact-corrupted PPG markedly increases during day-time, mostly due to device displacement and forearm motion.
“In line with recent findings [48], our study shows that the percentage of the artifact-corrupted PPG markedly increases during day-time, mostly due to device displacement and forearm motion.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] source
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Findingown dataIn our study, the sensitivity of ventricular tachycardia detection decreased and the sensitivity of extreme bradycardia detection did not change for an increasing amount of excluded PPGs.
“Our study shows contradictory results, i.e., the decrease in the sensitivity of ventricular tachycardia detection and no change in the sensitivity of extreme bradycardia detection for the increasing amount of the excluded PPGs.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningAdditional pulses often lead to undetected extreme bradycardia, whereas they have little effect on the detection of ventricular tachycardia.
“For this reason, additional pulses often lead to undetected extreme bradycardia, whereas have little effect on the detection of ventricular tachycardia.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningDevice displacement substantially distorts the PPG but is easily identified by the SQI due to its largest amplitude.
“Although device displacement substantially distorts the PPG, it is easily identified by the SQI due to the largest amplitude.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenPoor contact disturbs the PPG so that additional pulses are produced, making the identification of artifacts problematic.
“On the other hand, poor contact disturbs the PPG so that additional pulses are produced making the identification of artifacts problematic.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationExtreme bradycardia can be a common cause of sudden cardiac death in certain populations, e.g., patients with chronic kidney disease.
“Also, a recent research shows that extreme bradycardia can be a common cause in certain populations, e.g., in patients with chronic kidney disease [3].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3]
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Interpretationown dataSimulation of realistic artifacts encountered in activities of daily living allows comprehensive investigation of arrhythmia detectors and understanding of the artifact types most negatively affecting detection performance.
“Simulation of realistic artifacts encountered in activities of daily living allows to comprehensively investigate arrhythmia detectors and understand the artifact types most negatively affecting detection performance.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSudden cardiac death accounts for 15-20% of all deaths.
“Sudden cardiac death accounts for 15-20% of all deaths [1].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1]
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PremisecitationPatients at risk of sudden cardiac death due to life-threatening arrhythmias could potentially benefit from implantation of a cardiac pacemaker or a cardioverter defibrillator.
“Patients at risk of sudden cardiac death due to life-threatening arrhythmias could potentially benefit from implantation of a cardiac pacemaker or a cardioverter defibrillator [4].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4]
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PremisecitationFiner hand motions, which do not reflect in biomechanical data, can be dealt with using different PPG wavelengths and a piezoelectric transducer.
“whereas finer hand motions, which do not reflect in biomechanical data, can be dealt by using different PPG wavelengths and a piezoelectric transducer [22][23][24].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22][23][24]
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PremisecitationDetection of atrial fibrillation in a PPG has demonstrated encouraging results.
“Recently, detection of atrial fibrillation in a photoplethysmogram (PPG) has demonstrated encouraging results and received wide-scale research attention [9][10][11][12][13].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9][10][11][12][13]
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSignal processing techniques have been invoked for PPG quality estimation and motion artifact reduction.
“Signal processing techniques have also been invoked for PPG quality estimation [25] and motion artifact reduction [26].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [25]
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- cites [26]
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PremisecitationEfforts have been made to reduce motion artifacts using accelerometer and gyroscope signals.
“Efforts have been made to reduce motion artifacts using accelerometer and gyroscope signals [15][16][17][18][19][20][21], whereas finer hand motions, which do not reflect in biomechanical data, can be dealt by using different PPG wavelengths and a piezoelectric transducer [22][23][24].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15][16][17][18][19][20][21]
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InterpretationreasoningAlgorithms cannot claim robustness without considering artifact influence on the performance.
“Accordingly, such algorithms cannot claim robustness without considering artifact influence on the performance.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSegment removal conceals the true detection performance, but it is not a major problem for atrial fibrillation which often lasts for hours without being dangerous.
“Although segment removal conceals the true detection performance, it is not a major problem in case of atrial fibrillation which often lasts for hours without being dangerous [31].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31]
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Premisenone givenTo analyze detector performance in long-term PPGs, arrhythmias must be annotated, which is time-consuming and costly.
“However, to analyze the detector performance in long-term PPGs, arrhythmias must be annotated, which is time-consuming and costly.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBy applying a criterion of successful pulse detection, 42.4% of the total PPG duration was excluded in [13].
“By applying a criterion of successful pulse detection, 42.4% of the total PPG duration was excluded in [13].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13]
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InterpretationreasoningArtifact-induced additional PPG pulses increase pulse rate and mask episodes of extreme bradycardia, but have less influence on the sensitivity of ventricular tachycardia detection.
“This can be explained by artifact-induced additional PPG pulses, which increase pulse rate and mask episodes of extreme bradycardia, but have less influence on the sensitivity of ventricular tachycardia detection.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe probabilities of having device displacement and forearm motion artifacts are lower during night-time due to reduced movement, and vice versa during day-time.
“The probabilities of having the device displacement and forearm motion artifacts are lower during night-time due to reduced movement, and vice versa during day-time.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe discrepancy between studies on artifact-corrupted PPG percentage possibly arose from different conditions to acquire a PPG and varying signal quality requirements.
“Possibly, the discrepancy between the studies arose from different conditions to acquire a PPG.Also, varying signal quality requirements, which often depend on the application, may have a substantial impact.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA common practice in PPG artifact identification is to involve an accelerometer.
“a common practice is to involve an accelerometer for artifact identification [11][12][13][27][28][29][30].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [11] source
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- cites [12]
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- cites [13]
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- Rests on an assumption: The most prevalent PPG artifacts are movement-related.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenEven slight PPG disturbance can be intolerable when PPG morphology is analyzed, but may have a negligible effect on heart rate estimation.
“Even slight PPG disturbance can be intolerable when PPG morphology is a subject to analysis, but may have a negligible effect on heart rate estimation.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe PSDs of hand motion and poor contact are apparently flatter because the spectral power is moved toward high frequencies, suggesting that artifacts are more noise-like.
“The PSDs of hand motion and poor contact are apparently flatter because the spectral power is moved toward high frequencies, suggesting that artifacts are more noise-like.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe quality of a long-term green-light PPG acquired using a smartwatch was investigated in another study.
“In another study, the quality of a long-term green-light PPG, acquired using a smartwatch was investigated [48].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNo artifact type-specific characteristics valuable for the model development were given in that study.
“Yet, no artifact type-specific characteristics valuable for the model development were given.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPPG artifacts have already been studied in the context of finger oximetry and neck photoplethysmography.
“PPG artifacts have already been studied in a context of finger oximetry and neck photoplethysmography [52,53].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [52]
Not checked in the free run.
- cites [53]
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe developed model is restricted to simulating artifacts mostly caused by movement and device attachment.
“A limitation of the present study is that the developed model is restricted to simulating artifacts mostly caused by movement and device attachment.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationIn that study, sensitivity increased proportionally to the amount of excluded artifact-corrupted PPG parts.
“The interesting finding of that study is the increase of the sensitivity proportional to the amount of the excluded artifact-corrupted PPG parts [13].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13]
Not checked in the free run.
May combine two claims.
InterpretationreasoningSimulation of realistic artifacts encountered in activities of daily living allows comprehensive investigation of arrhythmia detectors and understanding of artifact types most negatively affecting detection performance.
“Simulation of realistic artifacts encountered in activities of daily living allows to comprehensively investigate arrhythmia detectors and understand artifact types most negatively affecting detection performance.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Similar artifacts can be encountered in real-life PPGs.
Classified as probably not a substantial claim.
PremisecitationInvestigation of an atrial fibrillation detector showed that specificity and positive predictive value decrease with an increasing amount of artifacts.
“Investigation of an atrial fibrillation detector showed that the specificity and the positive predictive value decrease with an increasing amount of artifacts [13].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13]
Not checked in the free run.
The authors state this as an assumption.
Adjacent poor-quality pulses, as well as those separated by a single good-quality pulse, constitute a single continuous artifact-corrupted PPG segment.
“Adjacent poor-quality pulses, as well as those separated by a single goodquality pulse, are assumed to constitute a single continuous artifactcorrupted PPG segment.”
The authors state this as an assumption.
The remaining PPG after removing the slow-changing component consists of heart contraction-related pulsations and artifacts.
“Then, it is assumed that the remaining PPG consists of heart contraction-related pulsations and artifacts.”
The paper relies on this without support.
Even short episodes of extreme bradycardia and ventricular tachycardia can be life-threatening requiring immediate intervention.
“In contrast, even short episodes of extreme bradycardia and ventricular tachycardia can be life-threatening requiring immediate intervention.”
The authors state this as an assumption.
Transitions between artifact-free intervals and artifacts can be modeled by a five-state continuous-time Markov chain.
“The transitions between artifact-free intervals and artifacts are modeled by a five-state continuous-time Markov chain, where the state 0 represents an artifact-free interval and the states from 1 to 4 correspond to ith-type artifacts.”
The paper relies on this without support.
The identification of artifacts in the PPG depends on the chosen approach to PPG quality assessment.
“The identification of artifacts in the PPG depends on the chosen approach to PPG quality assessment.”
The paper relies on this without support.
The most prevalent PPG artifacts are movement-related.
“The most prevalent PPG artifacts are movement-related”
The paper relies on this without support.
Green-light PPG is often used in commercial smartwatches to acquire pulse rate.
“a green-light PPG which is often used in commercial smartwatches to acquire pulse rate”
The authors state this as an assumption.
Similar artifacts can be encountered in real-life PPGs.
“Therefore, we assume that similar artifacts can be encountered in real-life PPGs.”
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 finding that overall data quality is higher during nighttime in the authors' large cohort is in line with findings in smaller samples specifically for PPG data.
“This finding in our large cohort is in line with findings in smaller samples specifically for PPG data35,75.”
From Data quality evaluation in wearable monitoring (2022) · cites this paper as [75]
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A Multi-sensor and Multimodal Data Fusion Technique for Heartbeat Detection
John, A., Cardiff, B., & John, D. (2026) · Springer eBooks · doi:10.1007/978-3-031-96724-5_5
Rho, G., Carbonaro, N., Laurino, M., Tognetti, A., & Greco, A. (2025) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine66377.2025.11340365
Zhang, L., & Yuan, L. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.110393
- Authors
- Paliakaitė, B., Petrėnas, A., Sološenko, A., & Marozas, V.
- Affiliations
- Kaunas University of Technology (LT)
- Corresponding author
- Paliakaitė, Birutė
- Venue
- Biomedical Signal Processing and Control
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 66
- Pages
- 102421
- ISSN
- 1746-8094 (ISSN-L)
- OpenAlex
- W3126617966
- Semantic Scholar
- 1a5449dbc57ef8cc49c86aec094466f05a844b2b
- Cited by
- 24
- References
- 60
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 3 · 2023: 6 · 2022: 3 · 2021: 2
- FWCI
- 1.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Biomedical Signal Processing and Control (publishedVersion, cc-by)
- KTUePubl (Repository of Kaunas University of Technology) (submittedVersion, other-oa)
- Funders
- Lietuvos Mokslo Taryba
- European Regional Development Fund (01.2.2-LMT-K-718-01-0030)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Keywords
- motion artifacts, ventricular tachycardia, bradycardia, device displacement, cardiac rehabilitation, activities of daily living, false alarm rate
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