Cited by 114Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic ControlAdvanced Sensor and Energy Harvesting Materials

The DOI matches its Crossref record; 25 of the 27 references it cites were found in a registry or an index.

Multichannel Reflective PPG Earpiece Sensor With Passive Motion Cancellation

Wang, Lei, Lo, Benny PL, Yang, Guang-Zhong·2007·IEEE Transactions on Biomedical Circuits and Systems

DOI 10.1109/tbcas.2007.910900

Open this paper in CoChat — free account

Abstract

This paper addresses the design considerations of a novel earpiece photoplethymograph (PPG) sensor and its in-situ evaluation results. The device is encapsulated with multiple LEDs and photodiodes based on a reflective PPG design. A compact and low power circuitry was developed for signal control and conditioning. PPG signals with an averaged ac/dc ratio of 0.001-0.01 and 10% relative strength (compared to finger-based approach) were recorded from the superior and posterior auricular skins. The integrity of PPG signal and accuracy of heart rate detection were evaluated and the results showed that with adequate optical shielding and the proposed passive motion cancellation, the device was able to reliably detect heart rate both during rest and moderate exercise. The proposed sensor design is low power, easy to wear compared to conventional earlobe PPG devices.

Integrity signals

Registry

Crossref · 10.1109/tbcas.2007.910900

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Body Sensor Networks
Yang, G. (2006) · Springer eBooks · doi:10.1007/1-84628-484-8 · Cited by 569
Gray's Anatomy for Students
Drake, R. L., Vogl, A. W., & Mitchell, A. W. (2004) · Cited by 512
THE BLOOD SUPPLY OF VARIOUS SKIN AREAS AS ESTIMATED BY THE PHOTOELECTRIC PLETHYSMOGRAPH
Hertzman, A. B. (1938) · American Journal of Physiology-Legacy Content · doi:10.1152/ajplegacy.1938.124.2.328 · Cited by 460
Design of Pulse Oximeters
(1997) · Institute of Physics eBooks · doi:10.1887/0750304677 · Cited by 455
Design of Pulse Oximeters
(1997) · Series in medical physics and biomedical engineering · doi:10.1201/9781420050790 · Cited by 364
Artifact-resistant power-efficient design of finger-ring plethysmographic sensors
Rhee, S., Yang, B.-H., & Asada, H. H. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.930904 · Cited by 235
Obituary: Yukio Mano (1943–2004)
Ikoma, K. (2005) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-2-1 · Cited by 173
Reduction of motion artifact in pulse oximetry by smoothed pseudo Wigner-Ville distribution
Yan, Y. S., Poon, C. C. Y., & Zhang, Y. (2005) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-2-3 · Cited by 157
Pulse oximetry in the oesophagus
Kyriacou, P. A. (2005) · Physiological Measurement · doi:10.1088/0967-3334/27/1/r01 · Cited by 91
Design of filter to reject motion artifact of pulse oximetry
Lee, J., Jung, W.-G., Kang, I., Kim, Y., & Lee, G.-K. (2003) · Computer Standards & Interfaces · doi:10.1016/s0920-5489(03)00077-1 · Cited by 91

Show all 27 references

Research works printed but not linked: 1

Celka, Motion resistant earphone located infrared based heart rate measurement device, 582

Sorted by citations

Wearable photoplethysmographic sensors—past and present
Tamura, T., Maeda, Y., Sekine, M., & Yoshida, M. (2014) · Electronics · doi:10.3390/electronics3020282 · Cited by 912
“01 and 10% relative strength compared with the finger-based approach were recorded from superior and posterior auricular skin [25].”
BackgroundResult
Unobtrusive Sensing and Wearable Devices for Health Informatics
Zheng, Y.-L., Ding, X., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., Yang, G., Zhao, N., & Zhang, Y. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2309951 · Cited by 725
Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging
Sun, Y., & Thakor, N. V. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2476337 · Cited by 589
Wearable Sensors and Systems
Bonato, P. (2010) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2010.936554 · Cited by 423
Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring
Fine, J., Branan, K. L., Rodriguez, A. J., Boonya-ananta, T., Ajmal, Ramella-Roman, J. C., McShane, M. J., & Coté, G. L. (2021) · Biosensors · doi:10.3390/bios11040126 · Cited by 348
Wearable Medical Systems for p-Health
Teng, X.-F., Zhang, Y.-T., Poon, C. C. Y., & Bonato, P. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008248 · Cited by 310
Advances in Photopletysmography Signal Analysis for Biomedical Applications
Moraes, J. L., Rocha, M. X., Vasconcelos, G. G., Vasconcelos Filho, J. E., De Albuquerque, V. H. C., & Alexandria, A. R. (2018) · Sensors · doi:10.3390/s18061894 · Cited by 292
CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment
Biswas, D., Everson, L. R., Liu, M., Panwar, M., Verhoef, B.-E., Patki, S., Kim, C. H., Acharyya, A., Hoof, C. A. V., Konijnenburg, M., et al. (2019) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2019.2892297 · Cited by 312
Current progress of photoplethysmography and SPO2 for health monitoring
TAMURA, T. (2019) · Biomedical Engineering Letters · doi:10.1007/s13534-019-00097-w · Cited by 274
Motion-tolerant magnetic earring sensor and wireless earpiece for wearable photoplethysmography
Poh, M., Swenson, N. C., & Picard, R. W. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2010.2042607 · Cited by 189
Wearable electrochemical sensors for forensic and clinical applications
Ferreira, P. C., Ataide, V. N., Chagas, C. L. S., Angnes, L., Coltro, W. K. T., Paixão, T. R. L. C., & de Araujo, W. R. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.115622 · Cited by 171
Wearable Devices for Precision Medicine and Health State Monitoring
Jeong, I. C., Bychkov, D., & Searson, P. C. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2871638 · Cited by 155
The use of pervasive sensing for behaviour profiling — a survey
Atallah, L., & Yang, G. (2009) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2009.06.009 · Cited by 155
Motion Artifact Reduction for Wrist-Worn Photoplethysmograph Sensors Based on Different Wavelengths
Zhang, Y., Song, S., Vullings, R., Biswas, D., Simões-Capela, N., van Helleputte, N., van Hoof, C., & Groenendaal, W. (2019) · Sensors · doi:10.3390/s19030673 · Cited by 140
Body Sensor Networks: In the Era of Big Data and Beyond
Poon, C. C. Y., Lo, B. P. L., Yuce, M. R., Alomainy, A., & Hao, Y. (2015) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2015.2427254 · Cited by 135
Photoplethysmograhic sensors, potential and limitations: Is it time for regulation? A comprehensive review
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
A Review of Deep Learning-Based Contactless Heart Rate Measurement Methods
Ni, A., Azarang, A., & Kehtarnavaz, N. (2021) · Sensors · doi:10.3390/s21113719 · Cited by 109
Sensing with Earables
Röddiger, T., Clarke, C., Breitling, P., Schneegans, T., Zhao, H., Gellersen, H. W., & Beigl, M. (2022) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3550314 · Cited by 119
Evaluation of biases in remote photoplethysmography methods
Dasari, A., Prakash, S. K. A., Jeni, L. A., & Tucker, C. S. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00462-z · Cited by 98
A Flexible, Low Noise Reflective PPG Sensor Platform for Ear-Worn Heart Rate Monitoring
Patterson, J. A. C., McIlwraith, D. C., & Yang, G.-Z. (2009) · 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2009.16 · Cited by 91
A Wireless Biomedical Signal Interface System-on-Chip for Body Sensor Networks
Wang, L., Yang, G.-Z., Huang, J., Zhang, J., Yu, L., Nie, Z., & Cumming, D. R. S. (2010) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2009.2038228 · Cited by 84
Monitoring physiological signals using nonintrusive sensors installed in daily life equipment
Lim, Y. G., Hong, K. H., Kim, K. K., Shin, J. H., Lee, S. M., Chung, G. S., Baek, H. J., Jeong, D., & Park, K. S. (2011) · Biomedical Engineering Letters · doi:10.1007/s13534-011-0012-0 · Cited by 81
Advances in wearable technology and its medical applications
Bonato, P. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5628037 · Cited by 81
Photoplethysmography-Based Method for Automatic Detection of Premature Ventricular Contractions
Sološenko, A., Petrėnas, A., & Marozas, V. (2015) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2015.2477437 · Cited by 83
A Localized Surface Plasmon Resonance Sensor Using Double-Metal-Complex Nanostructures and a Review of Recent Approaches
Ahn, H., Song, H., Choi, J., & Kim, K. (2017) · Sensors · doi:10.3390/s18010098 · Cited by 76
Point-of-care biosensor system
Vasan, A. S. S. (2012) · Frontiers in Bioscience-Scholar · doi:10.2741/s357 · Cited by 72
In-Ear Vital Signs Monitoring Using a Novel Microoptic Reflective Sensor
Vogel, S., Hülsbusch, M., Hennig, T., Blažek, V., & Leonhardt, S. K. (2009) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2033268 · Cited by 68
Reduction of Periodic Motion Artifacts in Photoplethysmography
Wijshoff, R. W. C. G. R., Mischi, M., & Aarts, R. M. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2553060 · Cited by 66
Arrhythmia detection and classification using ECG and PPG techniques: a review
Neha, N., Sardana, H. K., Kanwade, R., & Tewary, S. (2021) · Physical and Engineering Sciences in Medicine · doi:10.1007/s13246-021-01072-5 · Cited by 73
Wearable Multichannel Photoplethysmography Framework for Heart Rate Monitoring During Intensive Exercise
Lee, H., Chung, H., Ko, H., & Lee, J. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2801385 · Cited by 61
In-Ear Pulse Rate Measurement: A Valid Alternative to Heart Rate Derived from Electrocardiography?
Passler, S., Müller, N., & Senner, V. (2019) · Sensors · doi:10.3390/s19173641 · Cited by 60
A Wearable Respiratory Biofeedback System Based on Generalized Body Sensor Network
Liu, G., Huang, B.-Y., & Wang, L. (2011) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2010.0182 · Cited by 52
Wearable Intelligent Systems for E-Health
Poon, C. C. Y., Liu, Q., Gao, H., Lin, W.-H., & Zhang, Y. (2011) · Journal of Computing Science and Engineering · doi:10.5626/jcse.2011.5.3.246 · Cited by 50
Optimal fiducial points for pulse rate variability analysis from forehead and finger photoplethysmographic signals
Peralta, E., Lázaro, J. M., Bailón, R., Marozas, V., & Gil, E. (2019) · Physiological Measurement · doi:10.1088/1361-6579/ab009b · Cited by 48
Improving Pulse Rate Measurements during Random Motion Using a Wearable Multichannel Reflectance Photoplethysmograph
Warren, K., Harvey, J. S., Chon, K. H., & Mendelson, Y. (2016) · Sensors · doi:10.3390/s16030342 · Cited by 47
Is Continuous Heart Rate Monitoring of Livestock a Dream or Is It Realistic? A Review
Nie, L., Berckmans, D., Wang, C., & Li, B. (2020) · Sensors · doi:10.3390/s20082291 · Cited by 46
Reducing motion artifacts in photoplethysmograms by using relative sensor motion: Phantom study
Wijshoff, R. W. C. G. R., Mischi, M., Veen, J., & Van Der Lee, A. M. (2012) · Journal of Biomedical Optics · doi:10.1117/1.jbo.17.11.117007 · Cited by 40
The Application of a Piezo-Resistive Cardiorespiratory Sensor System in an Automobile Safety Belt
Hamdani, S. T. A., & Fernando, A. (2015) · Sensors · doi:10.3390/s150407742 · Cited by 39
Noncontact Proximity Vital Sign Sensor Based on PLL for Sensitivity Enhancement
Hong, Y., Kim, S.-G., Kim, B., Ha, S.-J., Lee, H., Yun, G., & Yook, J. (2014) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2280913 · Cited by 37
Optimizing a novel PPG sensor patch via optical simulations towards accurate heart rates
Pribadi, E. F., Pandey, R. K., & Chao, P. C.-P. (2020) · Microsystem Technologies · doi:10.1007/s00542-020-04895-6 · Cited by 34
Feasibility of Intelligent Monitoring of Construction Workers for Carbon Monoxide Poisoning
Forsyth, J. B., Martin, T. L., Young-Corbett, D. E., & Dorsa, E. (2012) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2012.2197390 · Cited by 31
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
A Multi-Modal Sensor for a Bed-Integrated Unobtrusive Vital Signs Sensing Array
Yu, X., Neu, W., Vetter, P., Bollheimer, L. C., Leonhardt, S. K., Teichmann, D., & Antink, C. H. (2019) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2019.2911199 · Cited by 28
Efficient Data Extraction Method for Near-Infrared Spectroscopy (NIRS) Systems With High Spatial and Temporal Resolution
Choi, J., Choi, M.-G., Kim, J., & Bae, H. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2255052 · Cited by 24
Drunken Drive Protection System
Vijay, J. N., Saritha, B., Priyadharshini, B., Deepeka, S., & Laxmi, R. (2013) · Cited by 22
A Review of Patient Bed Sensors for Monitoring of Vital Signs
Recmanik, M., Martínek, R., Nedoma, J., Jaroš, R., Pelc, M., Hájovský, R., Velička, J., Pieš, M., Sevcakova, M., & Kawala‐Sterniuk, A. (2024) · Sensors · doi:10.3390/s24154767 · Cited by 20
Wearable Tissue Oxygenation Monitoring Sensor and a Forearm Vascular Phantom Design for Data Validation
Chen, C.-M., Kwasnicki, R. M., Lo, B. P. L., & Yang, G. (2014) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2014.33 · Cited by 20
A 0.5-Hz High-Pass Cutoff Dual-Loop Transimpedance Amplifier for Wearable NIR Sensing Device
Wong, A., Leung, K. N., Pun, K., & Zhang, Y. (2010) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2010.2048401 · Cited by 20
A Driver’s Physiological Monitoring System Based on a Wearable PPG Sensor and a Smartphone
Lin, Y., Lin, C.-F., & You, H.-Z. (2011) · Communications in computer and information science · doi:10.1007/978-3-642-23948-9_36 · Cited by 20
Evaluation of Bluetooth Hands-Free profile for sensors applications in smartphone platforms
Dominicis, C. M. D., Mazzotti, D., Piccinelli, M., Rinaldi, S., Vezzoli, A., & Depari, A. (2012) · IEEE Sensors Applications Symposium (SAS) · doi:10.1109/sas.2012.6166305 · Cited by 18
Overview of Wearable Healthcare Devices for Clinical Decision Support in the Prehospital Setting
Gathright, R., Mejia, I., Gonzalez, J. M., Torres, S. I. H., Berard, D., & Snider, E. J. (2024) · Sensors · doi:10.3390/s24248204 · Cited by 18
A Novel Headset with a Transmissive PPG Sensor for Heart Rate Measurement
Shin, K., Kim, Y., Bae, S., Park, K., & Kim, S. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-540-92841-6_127 · Cited by 17
A Textile Sleeve for Monitoring Oxygen Saturation Using Multichannel Optical Fibre Photoplethysmography
Ballaji, H. K., Correia, R. G., Korposh, S., Hayes‐Gill, B., Hernandez, F. U., Salisbury, B., & Morgan, S. P. (2020) · Sensors · doi:10.3390/s20226568 · Cited by 19
A novel method based on two cameras for accurate estimation of arterial oxygen saturation
Liu, H., Ivanov, K., Wang, Y., & Wang, L. (2015) · BioMedical Engineering OnLine · doi:10.1186/s12938-015-0045-1 · Cited by 17
Body Sensor Networks for Sport, Wellbeing and Health
McIlwraith, D. G., & Yang, G. (2009) · Signals and communication technology · doi:10.1007/978-3-642-01341-6_13 · Cited by 16
Photoplethysmography Based Arrhythmia Detection and Classification
Neha, N., Kanawade, R. V., Tewary, S., & Sardana, H. K. (2019) · International Conference on Signal Processing and Integrated Networks (SPIN) · doi:10.1109/spin.2019.8711737 · Cited by 16
Reliability of pulse photoplethysmography sensors: Coverage using different setups and body locations
Julián, P. A., Kontaxis, S., Rapalis, A., Marozas, V., Laguna, P., Bailón, R., Gil, E., & Lázaro, J. M. (2022) · Frontiers in Electronics · doi:10.3389/felec.2022.906324 · Cited by 14
From Enabling Technology to Clinical Applications
Bonato, P. (2010) · Cited by 12
A Portable, Wireless Photoplethysomography Sensor for Assessing Health of Arteriovenous Fistula Using Class-Weighted Support Vector Machine
Chao, P. C.-P., Chiang, P.-Y., Kao, Y.-H., Tu, T.-Y., Yang, C., Tarng, D., & Wey, C. (2018) · Sensors · doi:10.3390/s18113854 · Cited by 13
Influence of motion artifacts on photoplethysmographic signals for measuring pulse rates
Lee, Y., Han, H., & Kim, J. (2008) · International Conference on Control, Automation and Systems (ICCAS) · doi:10.1109/iccas.2008.4694635 · Cited by 12
Filtering-induced changes of pulse transmit time across different ages: a neglected concern in photoplethysmography-based cuffless blood pressure measurement
Liao, S., Liu, H., Lin, W.-H., Zheng, D., & Chen, F. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1172150 · Cited by 11
Toward a mixed-signal reconfigurable ASIC for real-time activity recognition
Wang, L., Thiemjarus, S., Lo, B. P. L., & Yang, G. (2008) · IEEE/EMBS International Summer School on Medical Devices and Biosensors (ISSS-MDBS) · doi:10.1109/issmdbs.2008.4575060 · Cited by 11
Wearable Healthcare monitoring system: A survey
Warbhe, S. N., & Karmore, S. P. (2015) · International Conference on Electronics and Communication Systems (ICECS) · doi:10.1109/ecs.2015.7124795 · Cited by 10
Tissue Oxygenation Sensor and an ActiveIn VitroPhantom for Sensor Validation
Chen, C.-M., Kwasnicki, R. M., Curto, V. F., Yang, G., & Lo, B. P. L. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2917122 · Cited by 9
An Earbud‐Based Photoplethysmography and its Application
Tomita, Y., & Mitsukura, Y. (2017) · Electronics and Communications in Japan · doi:10.1002/ecj.12019 · Cited by 9
A Low-Power Heart Rate Sensor with Adaptive Heartbeat Locked Loop
Ma, Z., Chen, C., Wang, M., Zhao, Y., Ying, L., Wang, G., & Zhao, J. P. (2021) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas51556.2021.9401726 · Cited by 9
Medical wearable technologies: Applications, problems and solutions
Bostancı, E. (2015) · Medical Technologies National Conference · doi:10.1109/tiptekno.2015.7374111 · Cited by 9
Heart Rate Extraction in a Headphone Using Infrared Thermometry
de Graaf, G., Cruz, D. K., Haartsen, J. C., Hooijschuur, F. N. M., & French, P. J. (2019) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2019.2930312 · Cited by 8
Sensor factors influencing photoplethysmography
Timimi, A. Y. K., & Ali, M. A. M. (2014) · IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) · doi:10.1109/apccas.2014.7032808 · Cited by 8
Photoplethysmogram
TAMURA, T., & Maeda, Y. (2017) · Springer eBooks · doi:10.1007/978-3-319-69362-0_6 · Cited by 11
In Vivo Evaluation of a Subcutaneously Injectable Implant with a Low-Power Photoplethysmography ASIC for Animal Monitoring
Valero-Sarmiento, J. M., Ahmmed, P., & Bozkurt, A. Y. (2020) · Sensors · doi:10.3390/s20247335 · Cited by 7
Development of integrated photoplethysmographic recording circuit for trans-nail pulse-wave monitoring system
Qian, Z., Takezawa, Y., Shimokawa, K., Kino, H., Fukushima, T., Kiyoyama, K., & Tanaka, T. (2018) · Japanese Journal of Applied Physics · doi:10.7567/jjap.57.04fm11 · Cited by 7
A Guide to Measuring Heart and Respiratory Rates Based on Off-the-Shelf Photoplethysmographic Hardware and Open-Source Software
Stevens, G., Hantson, L., Larmuseau, M., Heerman, J. R., Siau, V., & Verdonck, P. (2024) · Sensors · doi:10.3390/s24123766 · Cited by 6
Asynchronous noise removal for earbud-based PPG sensors
Tomita, Y. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7590689 · Cited by 6
Acquisition technology research of EEG and related physiological signals under +Gz acceleration
Li, Y., Zhang, T., Deng, L., & Wang, B. (2013) · Irish Journal of Medical Science (1971 -) · doi:10.1007/s11845-013-0988-9 · Cited by 6
Wearable biomedical parameter monitoring system: A review
Kale, S., Mane, S., & Patil, P. (2017) · International Conference on Electronics, Communication and Aerospace Technology (ICECA) · doi:10.1109/iceca.2017.8203611 · Cited by 6
Wearable Sensors for Vital Signs: A Review of 20 Years and Future Directions
Suo, Y., Guo, H., Yu, R., & Zhao, Y. (2024) · Integrated Circuits and Systems · doi:10.23919/ics.2024.3511474 · Cited by 8
Nonintrusive measurement of biological signals for ubiquitous healthcare
Park, K. S. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5334000 · Cited by 5
Analysis of Heart Pulse Transmission Parameters Determined from Multi-Channel PPG Signals Acquired by a Wearable Optical Sensor
Přibil, J., Přibilová, A., & Frollo, I. (2023) · Measurement Science Review · doi:10.2478/msr-2023-0028 · Cited by 4
Distributed inferencing with ambient and wearable sensors
Atallah, L., McIlwraith, D. G., Thiemjarus, S., Lo, B. P. L., & Yang, G. (2010) · Wireless Communications and Mobile Computing · doi:10.1002/wcm.893 · Cited by 4
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning
Zhang, Y., Xu, J., Xie, M., Zhu, D. K., Song, H. H., & Wang, W. (2023) · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies · doi:10.1145/3580252.3586971 · Cited by 4
Contact measurement of skin temperature using a wearable two-channel PPG optical sensor supplemented by thermometers
Přibil, J., Přibilová, A., & Frollo, I. (2024) · Journal of Electrical Engineering · doi:10.2478/jee-2024-0015 · Cited by 4
A wireless electrocardiogragphy in superintending cardiac rate extremes with global positioning capability to remotely localize specimen
Landicho, L. C. L., Magbalon, I. R., & Reyes, C. P. S. (2015) · IEEE International Conference on Control System, Computing and Engineering · doi:10.1109/iccsce.2015.7482173 · Cited by 4
Heart Pulse Transmission Parameters of Multi-Channel PPG Signals for Cuffless Estimation of Arterial Blood Pressure: Preliminary Study
Přibil, J., Přibilová, A., & Frollo, I. (2024) · Electronics · doi:10.3390/electronics13163297 · Cited by 3
Recent Advancements in Artificial Intelligence Assisted Monitoring of Heart Abnormalities and Cardiovascular Diseases: A Review
(2022) · Letters in Applied NanoBioScience · doi:10.33263/lianbs123.089 · Cited by 3
Estimating multiple health parameters using PSoC controller
Patil, P. N., & Sawant, S. (2016) · International Conference on Electrical, Electronics, and Optimization Techniques · doi:10.1109/iceeot.2016.7755405 · Cited by 3
Research Issues in Pervasive Health Care Monitoring Applications and Systems
Díez, I. D. L. T., López-Coronado, M., Martínez-Pérez, B., Rodriges, J. J. P. C., González, J. H., Castillo-Sánchez, G., & Berbey-Álvarez, A. (2018) · Cited by 2
Current Status and Development Tendency of Wearable Cardiac Health Monitoring
Wang, Y., Zhao, Z., & Li, J. (2023) · Chinese Journal of Electrical Engineering · doi:10.23919/cjee.2023.000016 · Cited by 2
Wearable Sensors for Vital Signs: A Review of 20 Years in BioCAS and Future Directions
Suo, Y., Zhao, Y., & Lian, Y. (2024) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas61083.2024.10798313 · Cited by 2
An Earbud-based Photoplethysmography and its Application
Tomita, Y., Suzuki, S., & Mitsukura, Y. (2017) · IEEJ Transactions on Electronics Information and Systems · doi:10.1541/ieejeiss.137.236 · Cited by 2
Device Development for Evaluation of Gingiva Microcirculation
Lotfi, H., Vassilenko, V., Bonifácio, P., & Falcão, B. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-45124-0_41 · Cited by 2
An Area-Efficient Decimation Filter on High Resolution Sigma Delta A/D Converter for Biomedical Signal Processing
Lin, L., Gao, B., & Gong, M. (2020) · IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA) · doi:10.1109/aeeca49918.2020.9213683 · Cited by 2
Design and Implementation of IoT based Cloud enabled Wireless Biometric Monitoring Device
Ramamoorthy, K. M. K., & Mirzaei, S. (2021) · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) · doi:10.1109/iemcon53756.2021.9623137 · Cited by 2
Feasibility study of a wearable carbon monoxide warning system for construction workers
Forsyth, J. B., Martin, T. L., Young-Corbett, D. E., & Dorsa, E. (2011) · IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2011.5767592 · Cited by 1
ECG and PPG Signals-Based Premature Ventricular Contraction Detection Methods: A Review, Key Challenges, and Future Directions
Mohine, S., Phukan, N., Manikandan, M. S., & Pachori, R. B. (2026) · Cardiovascular Engineering and Technology · doi:10.1007/s13239-026-00819-z · Cited by 1
Tele-, Mobile- and Web-Based Technologies in Cardiovascular Medicine
Andreadis, I. I., & Nikita, K. S. (2019) · Series in bioengineering · doi:10.1007/978-981-10-5092-3_13 · Cited by 1
Light source driver, photodiode and impedance sensing in plethysmographic measurements
Borik, Š., Malíková, I., Miersch, J., Laqua, D., Ley, S., & Husár, P. (2014) · ELEKTRO · doi:10.1109/elektro.2014.6848952 · Cited by 1
Effect of Filtering on Pulse Wave Transit Time Measured by Photoplethysmography
Liao, S., Chen, F., Liu, H., & Zheng", D. (2022) · Computing in cardiology · doi:10.22489/cinc.2022.135 · Cited by 1
Wearable Pulse Oximetry in Construction Environments
Forsyth, J. B. (2010) · VTechWorks (Virginia Tech) · Cited by 1
Representation of Vital Signs in Minimal Parameter Set
Zhao, J., Wang, L., Mei, Z., & Guo, Y. W. (2010) · International Conference on Bioinformatics and Biomedical Engineering · doi:10.1109/icbbe.2010.5514798

Authors: Wang, L., Lo, B. P., & Yang, G.-Z.
Affiliations: Imperial College London (GB)
ORCID: Wang, Lei
Lo, Benny PL
Yang, Guang-Zhong
Venue: IEEE Transactions on Biomedical Circuits and Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2007-12
Volume: 1
Issue: 4
Pages: 235-241
ISSN: 1932-4545 (ISSN-L)
1940-9990
DOI: 10.1109/tbcas.2007.910900
OpenAlex: W2109125512
Cited by: 114
References: 27
Citations by year: 2026: 2 · 2025: 4 · 2024: 8 · 2023: 6 · 2022: 5 · 2021: 7 · 2020: 6 · 2019: 11 · 2018: 6 · 2017: 5 · 2016: 5 · 2015: 9 · 2014: 9 · 2013: 4 · 2012: 4
FWCI: 4.30
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
Locations: IEEE Transactions on Biomedical Circuits and Systems (publishedVersion)
PubMed (publishedVersion)
Funders: Engineering and Physical Sciences Research Council (EP/E044298/1, EP/C547586/1)
Topics: Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
Keywords: photoplethysmography, heartbeat detection, optical shielding, exercise monitoring

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Multichannel Reflective PPG Earpiece Sensor With Passive Motion Cancellation

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks