20 March 2015 Heart rate measurement based on face video sequence
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Abstract
This paper proposes a new non-contact heart rate measurement method based on photoplethysmography (PPG) theory. With this method we can measure heart rate remotely with a camera and ambient light. We collected video sequences of subjects, and detected remote PPG signals through video sequences. Remote PPG signals were analyzed with two methods, Blind Source Separation Technology (BSST) and Cross Spectral Power Technology (CSPT). BSST is a commonly used method, and CSPT is used for the first time in the study of remote PPG signals in this paper. Both of the methods can acquire heart rate, but compared with BSST, CSPT has clearer physical meaning, and the computational complexity of CSPT is lower than that of BSST. Our work shows that heart rates detected by CSPT method have good consistency with the heart rates measured by a finger clip oximeter. With good accuracy and low computational complexity, the CSPT method has a good prospect for the application in the field of home medical devices and mobile health devices.
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Fang Xu, Fang Xu, Qin-Wu Zhou, Qin-Wu Zhou, Peng Wu, Peng Wu, Xing Chen, Xing Chen, Xiaofeng Yang, Xiaofeng Yang, Hong-jian Yan, Hong-jian Yan, } "Heart rate measurement based on face video sequence", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 941435 (20 March 2015); doi: 10.1117/12.2083315; https://doi.org/10.1117/12.2083315
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