Abstract
Heart rate measurement is important for monitoring people’s physiological and body state. In this paper, a heart rate measurement methodology based on PhotoPlethysmoGraphy (PPG) signal is proposed. Human face positions are detected and tracked in real time by using facial color videos taken from cameras by non-contact shooting. Signals containing pulse components are extracted from images of the forehead skin area for the purpose of calculating blood volume pulse waves via wavelet filtering. Hence, heart rates are calculated after energy spectrum analysis using Fourier transform. The method realizes non-contact measurement, which avoids potential discomfort caused by direct skin contact, and has the advantages of simple operation and low costs. The result indicates that it is sensible to apply this method to daily family heart rate monitoring and remote medical monitoring equipment.
This work is supported by science and technology commission of shanghai (15411953500).
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Wu, X., Li, X., Xu, Y., Zhang, L. (2017). A Noncontact Measurement of Cardiac Pulse Based on PhotoPlethysmoGraphy. In: Fei, M., Ma, S., Li, X., Sun, X., Jia, L., Su, Z. (eds) Advanced Computational Methods in Life System Modeling and Simulation. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 761. Springer, Singapore. https://doi.org/10.1007/978-981-10-6370-1_2
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DOI: https://doi.org/10.1007/978-981-10-6370-1_2
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