Research Article
Contactless heart rate and respiratory measurement for sleep monitoring
@INPROCEEDINGS{10.4108/eai.29-6-2019.2282670, author={Yingyan HOU and Fangzheng ZHU}, title={Contactless heart rate and respiratory measurement for sleep monitoring}, proceedings={12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2019}, month={6}, keywords={heart rate respiration contactless sleep monitoring}, doi={10.4108/eai.29-6-2019.2282670} }- Yingyan HOU
Fangzheng ZHU
Year: 2019
Contactless heart rate and respiratory measurement for sleep monitoring
MOBIMEDIA
EAI
DOI: 10.4108/eai.29-6-2019.2282670
Abstract
Heart rate and respiration, which are physiological indicators closely related to cardiopulmonary function, are widely used in clinical diagnosis and daily monitoring. This paper proposes a heart rate measurement based on imaging photovoltaic plethysmography (iPPG) and a respiratory measurement method of sift algorithm. We mark the region of interest by dlib. Signal is obtained by color channels separation of ROI and independent component analysis. Next we filter signal with bandpass filter and extract heart rate from the blood volume pulse via Fourier transform. Meanwhile, the trajectory is decomposed into a set of component motions by calculating the feature points at the chest and performing principal component analysis. The composition of the respiration that is most suitable for the calculation is then selected based on its time spectrum. Finally, the peak of the trajectory corresponding to the respiration is determined. This method could be used for contactless sleep monitoring .