Abstract
Heart rate (HR) is a crucial indicator of human health, and accurate monitoring of heart rate can effectively prevent the occurrence of diseases, thereby reducing the morbidity rate. In recent years, remote photoplethysmo-graphy (rPPG) has gained widespread use in non-contact heart rate measurement. This technology employs a camera to capture subtle changes in the skin surface to obtain the heart rate. However, currently, the technology is primarily limited to stable visible light environments. Therefore, the purpose of this study was to utilize rPPG technology under infrared light to capture heart rate parameters in dark or insufficient light conditions. Nevertheless, skin pulsations in the near-infrared range are much weaker and more susceptible to other noise factors than ambient light. In this study, a region containing high-quality rPPG signals was selected from multiple regions of interest (ROIs), and the single-channel signal was extended to a multi-channel signal. Furthermore, through the use of robust principal component analysis (RPCA), the distortion effects caused by noise were mitigated, thereby improving pulse extraction.
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References
Mcduff, D.J., Estepp, J.R., Piasecki, A.M., Black, E.B.: A survey of remote optical photoplethysmographic imaging methods. Eng. Med. Biol. Soc. Conf. Proc. IEEE Eng. Med. Biol. Soc., 6398 (2015)
Poh, M.-Z., McDuff, D.J., Picard, R.W.: Advancements in noncontact, multiparameter physiological measurements using a webcam. IEEE Trans. Biomed. Eng. 58(1), 7–11 (2011)
Van Gastel, M., Stuijk, S., Haan, G.D.: Motion robust remote-PPG in infrared. IEEE Trans. Biomed. Eng. 62(5), 1425–1433 (2015)
Favilla R., Zuccalà , V.C., Coppini, G.: Heart rate and heart rate variability from single-channel video and ICA integration of multiple signals. IEEE J. Biomed. Health Inf. 23(6), 2398–2408 (2018)
He, X., Goubran, R., Knoefel, F.: IR night vision video-based estimation of heart and respiration rates. In: 2017 IEEE Sensors Applications Symposium (SAS), pp. 1–5 (2017)
Zhang, Q., Zhou, Y., Song, S., Liang, G., Ni, H.: Heart rate extraction based on near-infrared camera: towards driver state monitoring. IEEE Access 6, 33076–33087 (2018)
Poh, M.-Z., McDuff, D.J., Picard, R.W.: Non-contact, automated cardiac pulse measurements using video imaging and blind source separation. Opt. Express 18(10), 1076210774 (2010). 1, 2, 3, 7
Nowara, E.M., Marks, T.K., Mansour, H., Veeraraghavan, A.: SparsePPG: towards driver monitoring using camera-based vital signs estimation in nearinfrared. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2018), pp. 1272–1281 (2018)
Mayank, K., Ashok, V., Ashutosh, S.: DistancePPG: robust non-contact vital signs monitoring using a camera. Biomed. Opt. Express 6(5) (2015)
Rui, C.: Research on non-contact heart rate measurement method under quasi-static condition. Nanjing University of Posts and Telecommunications (2021). https://doi.org/10.27251/d.cnki.gnjdc.2021.000993
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Zhang, Z., Fu, Ch., Zhang, L., Hong, H. (2023). Near Infrared Video Heart Rate Detection Based on Multi-region Selection and Robust Principal Component Analysis. In: Lu, H., et al. Image and Graphics . ICIG 2023. Lecture Notes in Computer Science, vol 14359. Springer, Cham. https://doi.org/10.1007/978-3-031-46317-4_4
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DOI: https://doi.org/10.1007/978-3-031-46317-4_4
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