The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam
Abstract
We present a simple, low-cost method for measuring multiple physiological parameters using a basic webcam. By applying independent component analysis on the color channels in video recordings, we extracted the blood volume pulse from the facial regions. Heart rate (HR), respiratory rate, and HR variability (HRV, an index for cardiac autonomic activity) were subsequently quantified and compared to corresponding measurements using Food and Drug Administration-approved sensors. High degrees of agreement were achieved between the measurements across all physiological parameters. This technology has significant potential for advancing personal health care and telemedicine.
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Citations
Cites
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289
Akselrod, S., Gordon, D., Ubel, F. A., Shannon, D. C., Berger, A. C., & Cohen, R. J. (1981) · Science · doi:10.1126/science.6166045 · Cited by 5,079
Photoplethysmography and its application in clinical physiological measurement
Allen, J. (2007) · Physiological Measurement · doi:10.1088/0967-3334/28/3/r01 · Cited by 3,967
Important influence of respiration on human R-R interval power spectra is largely ignored
Brown, T. E., Beightol, L. A., Koh, J., & Eckberg, D. L. (1993) · Journal of Applied Physiology · doi:10.1152/jappl.1993.75.5.2310 · Cited by 770
Thermistor at a Distance: Unobtrusive Measurement of Breathing
Fei, J., & Pavlidis, I. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2032415 · Cited by 201
Cited by
Algorithmic principles of remote PPG
Wang, W., den Brinker, A. C., Stuijk, S., & de Haan, G. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2609282 · Cited by 1,234
Toward ubiquitous blood pressure monitoring via pulse transit time: Theory and practice
Mukkamala, R., Hahn, J.-O., Inan, O. T., Mestha, L. K., Kim, C.-S., Toreyin, H., & Kyal, S. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2441951 · Cited by 935
Wearable photoplethysmographic sensors—past and present
Tamura, T., Maeda, Y., Sekine, M., & Yoshida, M. (2014) · Electronics · doi:10.3390/electronics3020282 · Cited by 912
“The results verify its effectiveness for removing noise [45,46].”
BackgroundIntroducing the RECOLA multimodal corpus of remote collaborative and affective interactions
Ringeval, F., Sonderegger, A., Sauer, J., & Lalanne, D. (2013) · 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) · doi:10.1109/fg.2013.6553805 · Cited by 771
Unobtrusive Sensing and Wearable Devices for Health Informatics
Zheng, Y.-L., Ding, X.-R., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., Yang, G.-Z., Zhao, N., & Zhang, Y.-T. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2309951 · Cited by 722
Metadata
- Authors
- Poh, M.-Z., McDuff, D. J., & Picard, R. W.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2011-01
- Volume
- 58
- Issue
- 1
- Pages
- 7-11
- ISSN
- 0018-9294 (ISSN-L)
- 1558-2531
- OpenAlex
- W2008821584
- Cited by
- 1,486
- References
- 5
- FWCI
- 13.65
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
