Wavelet analysis of remote photoplethysmographic signals for heart rate and variability estimation

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.