The optimal selection of mother wavelet function for analysis remote photoplethysmographic signals

Analysis of remote photoplethysmography signals is important for non-invasive real-time monitoring of the cardiovascular system. To prevent cardiovascular diseases, it is necessary to predict the disease, support remote medical care and integration with telemedicine. The aim of the work is to analyze the low-quality signal of a remote photoplethysmogram based on a wavelet transformation and selection of the corresponding mother wavelet function. The developed approach provides a wavelet analysis of the remote photoplethysmogram signal by means of the optimal choice of the mother wavelet function, which allows analyzing the cardiovascular system in the frequency-time domain. In accordance with the developed approaches, the approximation of the obtained data to the signals obtained by contact is more than 93% and thus confirms the possibility of using frequency-time signal analysis for remote photoplethysmography. On the basis of the wavelet transform, a principle has been formed that ensures obtaining a true plethysmogram without interference and noise for further study and analysis of the human cardiovascular system.