International Conference PhysicA.SPb/2023

Development of an intelligent remote control system for heart rate biomonitoring

N. S. Danishevskiy^a, D. O. Budanov^a, A. Yu. Zaitceva<sup>b

a</sup> Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia
^b Institute for Analytical Instrumentation, Russian Academy of Sciences, St. Petersburg, Russia

Abstract: The paper proposes a new method for remote biomonitoring based on recording a pulse curve. A relevant algorithm was developed, and video images of biological tissues were processed by machine learning methods for the subsequent time-frequency analysis of the received signal having the goal to determine physiological parameters. The model training was accomplished.

Keywords: remote photoplethysmography, computer vision, heart rate, biomonitoring.

Received: 18.05.2023
Revised: 14.07.2023
Accepted: 30.10.2023

DOI: 10.61011/PJTF.2023.23.56845.204A

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