The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Skin photoplethysmography — a review
Abstract
The photoplethysmograph has been used for over 50 years but there are still misconceptions in how and what is the information obtained. A photoplethysmograph signal from any site on the skin can be separated into an oscillating (a.c.) and a steady-state (d.c.) component, their amplitudes dependent upon the structure and flow in the vascular bed. Many simple applications are available: pulse counters, using the a.c. component, skin colour and haemoglobin saturation meters, using the d.c. component. The d.c. component of the photoplethysmograph signal is a function of the blood flux beneath the device. A good emitter for use in a photoplethysmograph of skin blood flow is one in the frequency range 600-700 nm and the best signal for a.c. analysis is obtained from the finger pulp. The frequency range of the electronic circuitry should be from 0.01 to 15 Hz, then all the information in the signal can be extracted about the autonomic nervous system control of the cardiovascular system, particularly between 0.01 and 2 Hz. Comparative studies may be drawn between similar skin sites on a subject or between subjects if the afferent inputs to the brain stem are controlled or driven at a known frequency. These afferents, inputs, will modulate the efferents, outputs, which generate variations in the a.c. component of the detected photoplethysmograph signal.
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“Without this type of real-time, in-sensor processing (IR_Non in Fig. 6D), robust operation would be impossible: PPG signals would quickly drift outside of the narrow operating range of the ADC as a result of patient-to-patient variations in skin pigmentation and unavoidable, time-dependent fluctuations in optical scattering that result from micromotions relative to underlying blood vessels and sub”
From Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care (2019) · cites this paper as [28]
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Heart rate measurement from wearable Photoplethysmographic sensor using Spot and tracking methods
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Integrating transfer learning with scalogram analysis for blood pressure estimation from PPG signals
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Perfusion Monitoring by Contactless Photoplethy Smography Imaging
Lai, M., Shan, C., Ciuhu, C., & Izamis, M. (2019) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2019.8759547 · Cited by 6
“Unlike standard PPG [5, 6], which requires skin contact with an optical sensor thereby necessitating a pinpoint area of evaluation, non-contact PPG utilizes an off-the-shelf camera and a light source to remotely detect the dynamic changes in blood volume beneath the skin and derive a map correlated to the blood perfus…”
MethodRong, Y., Theofanopoulos, P. C., Cui, Y., Trichopoulos, G. C., & Bliss, D. W. (2022) · IEEE Radar Conference (RadarConf) · doi:10.1109/radarconf2248738.2022.9764264 · Cited by 6
A Pixelated Monolithic CMOS PPG Sensor for Spatial Feature Acquisition
Kim, S.-H., Ko, S., & Jee, D. (2022) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2022.3211619 · Cited by 6
“The PPG is an optical sensing method that basically measures blood volume changes associated with the heartbeat cycle [1].”
MethodToda, S., & Matsumura, K. (2023) · Sensors · doi:10.3390/s23073689 · Cited by 6
“PPG Measurement Photoplethysmography involves obtaining waveforms of changes in the volume of blood vessels by using the optical absorption characteristics of blood [36,37].”
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Self-citationOn the Origin of the Photoplethysmography Signal: Modeling of Volumetric and Aggregation Effects
Lapitan, D. G., Tarasov, A. P., Shtyflyuk, M. E., & Рогаткин, Д. А. (2024) · Photonics · doi:10.3390/photonics11070637 · Cited by 5
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“By using an Light Emitting Diode (LED) and a phototransisor, crude data about the current state of the blood vessels and blood flow can be extracted [10], [11].”
An Adjusted Method of Photoplethysmography Detection in Poor Perfusion
Fu, X., Tu, Y., Tang, Y., Li, D., Jiang, K., Chen, H., & Ye, S. (2011) · International Conference on Bioinformatics and Biomedical Engineering · doi:10.1109/icbbe.2011.5780311 · Cited by 5
“It has been widely used in human blood oxygen saturation and pulse rate, and it also has been applied to the detection of blood glucose level, vascular resistance, blood pressure, respiratory rate, and some other physiological parameters [2-5].”
MethodIn vitro validation of measurement of volume elastic modulus using photoplethysmography
Njoum, H., & Kyriacou, P. A. (2017) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2017.11.011 · Cited by 5
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MethodZikich, D., & Žikić, D. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-540-89208-3_277 · Cited by 5
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Optical sensor system for non-invasive blood diagnosis
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“One such point is known to exist around 810nm.[ 5 ] According to the assumption that red blood cells are mainly filled with water, the absorption coefficient of blood is similar to a solution consisting HHb, HbO2 and water (H2O) and the absorption of HHb and Hb02 is indistinguishable to the absorption of H2O above 120…”
BackgroundPark, S. Y., Baek, H. J., Park, K. S., & Kim, Y. C. (2014) · Journal of International Medical Research · doi:10.1177/0300060514532619 · Cited by 5
“Prior to LSB, venous blood samples were taken from each patient in order to evaluate possible haematological interference of lights absorption via the pulse oximetry sensor (including assessment of red blood cell count, haemoglobin, haematocrit, total bilirubin, albumin and total protein levels).(14) Pain intensity wa…”
BackgroundMethodInfluentialNeuschwander, T. B., Macias, B. R., Hargens, A. R., & Zhang, Q. (2012) · ISRN Vascular Medicine · doi:10.5402/2012/930913 · Cited by 5
Pulse rate measurement from transmittance photoplethysmography in cycle ergometer test
Silva, S. M. L., Dotor, M. L., Silveira, J. P., Giannetti, R., Miguel‐Tobal, F., Bilbao, A., Galindo, M., & Martín-Escudero, P. (2010) · Conference proceedings - IEEE Instrumentation/Measurement Technology Conference · doi:10.1109/imtc.2010.5488208 · Cited by 5
“Photoplethysmography (PPG) is an optical technique which provides a signal proportional to changes in blood volume [ 1 ].”
Accurate heart rate estimation from camera recording via MUSIC algorithm
Fouladi, S. H., Balasingham, I., Ramstad, T. A., & Kansanen, K. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7320115 · Cited by 5
Peripheral Vascular Noninvasive Measurements
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Performance analysis of classifiers in detection of CVD using PPG signals
Rajaguru, H., Shankar, M. G., Nanthakumar, S. P., & Murugan, I. A. (2023) · AIP conference proceedings · doi:10.1063/5.0125222 · Cited by 4
Red Blood Cells’ Area Deformation as the Origin of the Photoplethysmography Signal
Evdochim, L., Chiriac, E., Avram, M., Dobrescu, L., Dobrescu, D., Stanciu, S., & Halichidis, S. (2023) · Sensors · doi:10.3390/s23239515 · Cited by 4
The Hemodynamic Mass Action of a Central Pattern Generator
Moreno-Castillo, M., Meza, R., Romero-Vaca, J., Huidobro, N., Méndez‐Fernández, A., Martínez-Castillo, J., Mabil, P., Flores, A., & Manjarrez, E. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00038 · Cited by 4
“The amplitude of both components is dependent upon the structure and flow in the microvascular bed, oxygen consumption, and other unknown factors (Kamal et al., 1989).”
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“Changes in the light reflected from the skin surface due to volumetric changes in the facial blood vessels can detect small variations in perfusion, providing valuable information about the cardiovascular system [24].”
BackgroundAlgorithm for systolic peak detection of pulse wave
Prieto, R. R. F. D. L. V., Delisle-Rodríguez, D., Cuadra, M. B., Sóñora-Mengana, A., & Posada-Quintero, H. F. (2012) · Latin American Computer Conference (CLEI) · doi:10.1109/clei.2012.6427234 · Cited by 4
Spot measurement of heart rate based on morphology of PhotoPlethysmoGraphic (PPG) signals
Mohan, P. M., Nagarajan, V., & Vignesh, J. C. (2016) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2016.1223198 · Cited by 4
“Heart rate (HR) and arterial oxygen saturation (SpO2) are the main areas of interest, since these two parameters provide a valuable information to take care the subject’s health condition.[1,2] HR monitors are not only being used to monitor patients, but also for fitness enthusiasts.”
BackgroundHeart Rate Monitoring Using a Slow–Fast Adaptive Comb Filter to Eliminate Motion Artifacts
Chuang, C.-T., Chang, T., Chiang, Y.-T., & Chang, F. (2016) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-016-0183-3 · Cited by 4
A Wearable Device to Detect Blood Volume Change
Raj, A. A., Karthik, K. A., Sachin, S., Sanchana, M., & Ganesan, M. (2019) · International Conference on Advanced Computing and Communication Systems (ICACCS) · doi:10.1109/icaccs.2019.8728520 · Cited by 4
Sonic-Fi: Practical Vital Signs Distillation Leveraging Fine-grained Physical Resolution
Wang, P., Zhang, S., Cai, C., Liu, C., & Luo, J. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3749460 · Cited by 3
“The duration of the LFM in our experiments is 𝑇 𝑠 = 33ms, equivalent to 30fps, enough to acquire vital signs whose maximum frequency is below 10Hz [23].”
Feukeu, E. A., & Winberg, S. L. (2019) · International Multidisciplinary Information Technology and Engineering Conference (IMITEC) · doi:10.1109/imitec45504.2019.9015874 · Cited by 3
Dual Window Fourier Transform (DWFT): A Tool to Analyze Non-stationary Signals
Walia, A., & Kaul, A. (2022) · Circuits Systems and Signal Processing · doi:10.1007/s00034-022-02061-z · Cited by 3
“High frequency and low frequency components are due to blood movements in arteries and veins respectively while dc component represents capillaries, bones and skin-color [20].”
BackgroundDevelopment and Testing of a Miniaturized Platform for Photoplethysmography
Traversi, G., Gaioni, L., & Salvetti, D. (2023) · Electronics · doi:10.3390/electronics12102230 · Cited by 3
Introducing the Pi-CON Methodology to Overcome Usability Deficits during Remote Patient Monitoring
Baumann, S., Stone, R., & Kim, J. Y. M. (2024) · Sensors · doi:10.3390/s24072260 · Cited by 3
“…mode the space between While plethysmography detects volume changes in the body [88], PPG utilizes a light source to detect volume changes inside a human’s blood vessel [89]. the skin and the devices’ sensors can cause significant noise due to a light incident caused by motion and too-loose fit [94].”
BackgroundZheng, J., Hu, S., Xin, S., & Crabtree, V. (2008) · Journal of Medical Engineering & Technology · doi:10.1080/03091900701453990 · Cited by 3
“Furthermore, the distorted vasculature produced by the raised leg may increase the vessel resistance, which also limits the pulsatile flow across the capillary bed [22].”
BackgroundBiomedical Sensors and Their Interfacing
Gupta, R. (2017) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-55369-6_7 · Cited by 3
Visible spectrum-based non-contact HRV and dPTT for stress detection
Kaur, B., Hutchinson, J. A., & Ikonomidou, V. N. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2261085 · Cited by 3
Equine Life Stage Classification from Photoplethysmography Data by an Explainable Echo State NetworkPreprint
Byfield, R., Miller, M., Xie, Y., Crosby, M., Schiltz, P., Johnson, P. J., & Lin, J. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4561261 · Cited by 3
Study on the tolerance of motion artifacts in estimating variance of blood pressure by single PPG
Chang, C.-L., & Wang, L. (2023) · AIP conference proceedings · doi:10.1063/5.0133887 · Cited by 2
Comparison of methods for extracting the instantaneous phase of a biological system from time series
Hramkov, A. N., Karavaev, A. S., Ishbulatov, Y. M., Prokhorov, M. D., & Пономаренко, В. И. (2025) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-025-01588-x · Cited by 2
“PPG contains information about the peripheral blood flow [11–13], and RRI contains information about the heart rate variability [14].”
Heartbeat Interval Error Compensation Method for Low Sampling Rates Photoplethysmography Sensors
Watanabe, K., Izumi, S., Yano, Y., Kawaguchi, H., & Yoshimoto, M. (2019) · IEICE Transactions on Communications · doi:10.1587/transcom.2019hmp0002 · Cited by 2
“It irradiates the body’s surface with green or red light, and measures the amount of light absorption by hemoglobin as created by changes in blood volume [9], [10].”
BackgroundA Photoplethysmographic Monitor for Local Pulse Wave Velocity Measurement
Matheus, P., Antonio, W., Pedro, H., & Talles, M. (2020) · International Journal of Computer Applications · doi:10.5120/ijca2020919811 · Cited by 2
Basis research of nail style photoplethysmogram measurement system for motion artifact reduction
Jeon, Y.-U., Kim, J. C., Jeong, D. U., Kim, C. H., Ro, J. H., & Jeon, G. R. (2007) · Springer eBooks · doi:10.1007/978-3-540-36841-0_188 · Cited by 2
Robust heart rate estimate from PPG signal utilizing the harmonic analysis of motion signal
Hasan, Z., & Haque, M. A. (2015) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.2015.7372992 · Cited by 2
“Photoplethysmography (PPG) is a simple and low-cost technique that measures the pulse wave of blood vessels using electro-optic technique [1], [2].”
MethodMonitoring Of Heart- And Respiration Rates Using A Fiber Optic Sensor
Ugnell, H., Lindberg, L., & Öberg, P. Å. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.1991.684640 · Cited by 2
Real-Time Automatic Peaks and Onsets Detection of Photoplethysmographic Signals
Mohan, P. M., Nagarajan, V., & Vignesh, J. C. (2018) · Lecture notes in electrical engineering · doi:10.1007/978-981-10-7251-2_9 · Cited by 2
The influence of physiological characteristics on blood pressure estimation using only PPG signals
Sen, Y., Morgan, S. P., Cho, S., & Yaping, Z. (2019) · IEEE International Conference on Electronic Measurement & Instruments · doi:10.1109/icemi46757.2019.9101868 · Cited by 2
“It is generally accepted that PPG signals can provide valuable information about the cardiovascular system ([9]).”
BackgroundCamera-based blood oxygen measurement
Nishidate, I. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822281-2.00013-5 · Cited by 2
Teachers perception of the use on a low-cost pulse rate sensor for biology education
Dolenšek, J., Kos, T., Stožer, A., & Špernjak, A. (2022) · AJP Advances in Physiology Education · doi:10.1152/advan.00088.2021 · Cited by 3
Steckel, J., Goethijn, F., BRUYNE, G. D., Nulens, V., Lacko, D., Bey, S., & Verwulgen, S. (2013) · Proceedings of the ICTs for improving Patients Rehabilitation Research Techniques · doi:10.4108/pervasivehealth.2013.252083 · Cited by 2
Performance analysis of classifiers in detection of CVD using PPG signals
Rajaguru, H., Shankar, M. G., Nanthakumar, S. P., & Murugan, I. A. (2023) · AIP conference proceedings · doi:10.1063/5.0125137 · Cited by 2
Nuryani, N., Utomo, T. P., Wiyono, N., Sutomo, A. D., & Ling, S. (2023) · Journal of Biomedical Physics and Engineering · doi:10.31661/jbpe.v0i0.2206-1504 · Cited by 4
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Development of low-cost Hardware supporting Mobile Home-Care
Spyropoulos, B. P., Tzavaras, A., Botsivaly, M., Koutsourakis, K., Koulouris, E., & Liargovas, D. (2007) · Springer eBooks · doi:10.1007/978-3-540-36841-0_103 · Cited by 2
Implementation and evaluation of the sensor assessing pressure and photoplethysmogram
Kim, G.-R., Kim, G.-N., Choi, B.-C., Jeon, G.-R., Ham, K.-Y., Suh, D.-J., & Jung, D. K. (2006) · Journal of Sensor Science and Technology · doi:10.5369/jsst.2006.15.2.106 · Cited by 2
Bone and Soft Tissue Blood Flow during Normobaric and Hyperbaric Oxygen Breathing in Healthy Divers
Larsson, A. C., Uusijärvi, J., Näslund, J., Lund, I., & Lindholm, P. (2014) · Journal of Biomedical Science and Engineering · doi:10.4236/jbise.2014.712094 · Cited by 1
“PPG is a non-invasive optical technique and has been used to monitor blood flow in skin and muscles [17]-[19], but also to monitor hemodynamic sensing in implanted devices [20].”
MethodA novel mathematical approach for blood flow signal analyses
Zikich, D., & Žikić, D. (2010) · Biological Rhythm Research · doi:10.1080/09291010903477964 · Cited by 1
“At present, the PPG technique is applied in a wide range of commercial medical devices for measuring blood pressure, oxygen saturation and cardiac output, for detection of peripheral vascular disease and also for assessing the function of the autonomic nervous system (Kamal et al. 1989).”
MethodTransmittance photoplethysmography with near-infrared laser diodes in intra-peritoneal organs
Silva, S. M. L., Silveira, J. P., Dotor, M. L., Giannetti, R., Golmayo, D., & Herrera, L. (2006) · Physiological Measurement · doi:10.1088/0967-3334/27/10/009 · Cited by 1
“Photoplethysmography is a technique that provides a signal proportional to changes in blood volume (Kamal et al 1989).”
MethodNon-invasive blood flow monitoring on the wrist
Maier, M., & Lindberg, L. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2001.1017438 · Cited by 1
“Photoplethysmography Photoplethysmography (PPG) is a common non-invasive method mainly used to measure blood oxygenation level, heartbeat and changes in blood flow [1].”
Sivadas, R. P., Paramparambath, N., & Sidharth, N. N. (2018) · Data-Enabled Discovery and Applications · doi:10.1007/s41688-018-0020-7 · Cited by 1
Autonomous Heart Rate Tracking Methodology Using Kalman Filter and the EM Algorithm
Souza, T. T., Balasingam, B., & Maev, R. G. (2019) · International Conference on Information Fusion (FUSION) · doi:10.23919/fusion43075.2019.9011407 · Cited by 1
Development and validation of quantitative optical index of skin blood content
Peng, Y.-H., & Maarek, J. I. (2022) · Journal of Biomedical Optics · doi:10.1117/1.jbo.27.6.065003 · Cited by 1
Anaesthesia Monitoring: From Conventional to AI-Enabled Data Acquisition Methods
Liu, X., McGrath, S., Flanagan, C., Lei, Y., & Zeng, L. (2023) · IEEE EUROCON - International Conference on Computer as a Tool (EUROCON) · doi:10.1109/eurocon56442.2023.10198967 · Cited by 1
“Nellcor N-200, Nellcor N-3000, and Masimo SET (prototype) [45] were employed for SpO2 monitoring in 1996.”
MethodDesign, Development and Test of Electronic Interface for Photoplethysmography Devices
Zompanti, A., Santonico, M., & Pennazza, G. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-3-031-48711-8_19 · Cited by 1
Finger photopletysmography detects early acute blood loss in compensated blood donors: a pilot study
Speroni, G., Antedoro, P., Marturet, S., Martino, G., Chavez, C., Hidalgo, C., Villacorta, M. V., Ahrtz, I., Casadei, M., Fuentes, N. A., et al. (2024) · Physiological Measurement · doi:10.1088/1361-6579/ad4c54 · Cited by 1
“This signal has been associated with many bodily processes like breathing, thermoregulation, and autonomic nervous system activity (Kamal et al 1989, Barron et al 1993, Buchs et al 2005).”
Byfield, R., Miller, M., Xie, Y., Crosby, M., Schiltz, P., Johnson, P. J., & Lin, J. (2024) · Neural Computing and Applications · doi:10.1007/s00521-024-10285-0 · Cited by 1
Mohanalakshmi, S., & Sivasubramanian, A. (2015) · Biomedical Engineering Applications Basis and Communications · doi:10.4015/s1016237215500210 · Cited by 1
Kamal, A., & Al-Waswasy, S. S. (2002) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.1996.647637 · Cited by 1
Self-citationUniversal design of a microcontroller and IoT system to detect the heart rate
Uwamahoro, R., Alexie, M., Minani, G., & Murari, B. M. (2017) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/263/5/052037 · Cited by 1
Button, V. L. D. S. N. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-800774-7.00007-6 · Cited by 1
Neural Network and Cloud Computing for Predicting ECG Waves from PPG Readings
Kosasih, D. I., Lee, B.-G., & Lim, H. (2022) · Journal of Multimedia Information System · doi:10.33851/jmis.2022.9.1.11 · Cited by 1
Wei, Y., Ling, B. W., Chen, D., Dai, Y., & Liu, Q. (2023) · IET Systems Biology · doi:10.1049/syb2.12063 · Cited by 1
“estimated by the PPGs is consistent with that estimated by the ECGs when the subjects are in the relaxed state [28].”
MethodTest of a processing algorithm for NIR-laser-diode-based pulse oximetry
Silva, S. M. L., Silveira, J. P., & Dotor, M. L. (2003) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.499067 · Cited by 1
Spyropoulos, B., Tzavaras, A., Botsivaly, M., Moschidis, M., & Koutsourakis, K. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260322 · Cited by 1
“Respiration Rate can also be reproduced directly from the Carotid Sound acquisition module, or be extracted by employing frequency analysis and filtering of the original Photo-plethysmography [ 5 ] signal (PPG).”
MethodTeplov, V. (2014) · UEF eRepo (University of Eastern Finland) · Cited by 1
A contribution to unobtrusive video-based measurement of respiratory signals
Mateu-Mateus, M. (2020) · doi:10.5821/dissertation-2117-334684 · Cited by 1
Terahertz-Wave-Plethysmography (TPG): A New Principle of Radar Based Pulse DetectionPreprint
Rong, Y., Theofanopoulos, P. C., Trichopoulos, G. C., & Bliss, D. W. (2021) · Research Square · doi:10.21203/rs.3.rs-1109431/v1 · Cited by 1
Evaluation of the Signal Quality of Wrist-Based Photoplethysmography
Pradhan, N. (2018) · doi:10.22215/etd/2018-12624 · Cited by 1
Vers le développement d'un capteur photoplétysmographique sans contact
Bobbia, S. (2019) · theses.fr (ABES) · doi:10.70675/a3c47f9fz5d34z4690za579zb07025c69b0f · Cited by 1
Multichannel module characterization of optical sensors employed in photoplethysmography
Timimi, A. Y. K., & Ali, M. A. M. (2014) · IEEE/CPMT International Electronics Manufacturing Technology Symposium · doi:10.1109/iemt.2014.7123144
“It is well exploited in pulse oximetry to measure oxygen saturation and heart rate [1]–[4], and has many applications in assessing cardiovascular physiology, risk factors and related diseases [1], [5]–[7].”
BackgroundOptical and other methods for the assessment of arterial andvenous insufficiency
Williams, P. T. (2011) · ORCA Online Research @Cardiff (Cardiff University)
Infections and hyperbaric oxygen : new methods for highdose protocols and noninvasive measurements
Larsson, A. C. (2012) · Figshare
Multi-wavelength transmittance photoplethysmography with near infrared laser diodes during exercise
Silva, S. M. L., Giannetti, R., Dotor, M. L., Golmayo, D., Martin, P., Miguel‐Tobal, F., Bilbao, A., & Silveira, J. P. (2005) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.633042
Techniques d'exploration de la vasomotricité
Planchon, B., & Pistorius, M. A. (1995) · Annales de Réadaptation et de Médecine Physique · doi:10.1016/0168-6054(96)89333-0
Non-contact heart rate estimation in pediatric intensive care units
Bal, U., & Bal, A. (2014) · National Biomedical Engineering Meeting · doi:10.1109/biyomut.2014.7026335
“Fotopletismografi nabız ve oksijen satürasyonu gibi parametreleri ölçmek için kullanılan basit ve düşük maliyetli optik bir tekniktir [2, 3].”
Instruments in Biotechnology and Medicine
Voss, A., Feller, K. ‐., & Beckmann, D. (2012) · Wiley eBooks · doi:10.1002/9783527643981.bphot006
Silva, S. M. L., Silveira, J. P., Herrera, L. A., Soriano, M. L., Giannetti, R., de Tafira, C., Newton, I., & Aguilera, A. (2005)
Pulse wave registration from radial artery using photoplethysmographic method
Pilt, K., Leier, M., Silluta, S., Kööts, K., Meigas, K., & Viigimaa, M. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7319863
Metadata
- Authors
- Kamal, A. A. R., Harness, J. B., Irving, G., & Mearns, A. J.
- Affiliations
- University of Bradford (GB)
- Corresponding author
- Harness, J.B.
- Venue
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Published
- 1989-04
- Volume
- 28
- Issue
- 4
- Pages
- 257-269
- ISSN
- 0169-2607 (ISSN-L)
- OpenAlex
- W2054173774
- Cited by
- 328
- References
- 56
- Citations by year
- 2026: 1 · 2025: 13 · 2024: 16 · 2023: 21 · 2022: 31 · 2021: 15 · 2020: 19 · 2019: 26 · 2018: 15 · 2017: 22 · 2016: 14 · 2015: 17 · 2014: 13 · 2013: 8 · 2012: 12
- FWCI
- 0.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computer Methods and Programs in Biomedicine (publishedVersion)
- PubMed (publishedVersion)
- 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 › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Keywords
- photoplethysmography, skin blood flow, pulse counting, hemoglobin oxygen saturation, finger pulp, vascular bed
- MeSH terms
- Equipment Design, Humans, Monitoring, Physiologic, Plethysmography, Regional Blood Flow, Skin
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