Abstract
The paper analyzes the heart rate estimation algorithm in real-time using remote photoplethysmography. It is noted method for estimating the plethysmography signal and heart rate variability using the discrete wavelet transform (DWT) can get proper results, which ensures the operation of the remote photoplethysmography approach in real-time. The analysis of the developed method was carried out to processing the photoplethysmography using DWT allows to qualitatively evaluate the net signal and draw conclusions about the heart rate and variability of the human cardiovascular system. The choice of the detector and rPPG method ensures high performance and the ability to scale the system on different platforms. Based on the conducted wavelet transformation, a principle was formed that ensures obtaining a true plethysmogram without interference and noises, for further research and analysis of the human cardiovascular system
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