Method for Cardiointervalogram Selection from a Photoplethysmogram Signal for Estimating the Total Percentage of Phase Synchronization of Contours of Autonomic Circulation Regulation

In this paper, we compare four methods of extracting the sequence of intervals between heartbeats from the photoplethysmogram signal to estimate the total percentage of phase synchronization of autonomic regulation circuits of blood circulation that are designed to operate in real time. In the analy...

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Bibliographic Details
Published in:Journal of communications technology & electronics 2022-10, Vol.67 (10), p.1243-1249
Main Authors: Kurbako, A. V., Skazkina, V. V., Borovkova, E. I., Kiselev, A. R., Ponomarenko, V. I., Prokhorov, M. D., Gridnev, V. I., Karavaev, A. S., Kuligin, A. V., Krasikova, N. S., Mironov, S. A., Bezruchko, B. P.
Format: Article
Language:English
Subjects:
Blood circulation
Cardiovascular system
Circuit design
Communications Engineering
Comparative analysis
Electrocardiogram
Electrocardiography
Engineering
Frequency ranges
Methods
Networks
Synchronism
TO THE 85th ANNIVERSARY OF N.I. SINITSYN
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Summary:In this paper, we compare four methods of extracting the sequence of intervals between heartbeats from the photoplethysmogram signal to estimate the total percentage of phase synchronization of autonomic regulation circuits of blood circulation that are designed to operate in real time. In the analysis of the experimental ensemble of records of healthy subjects, the optimal parameters for the used approaches were selected. We compared cardiointervalograms obtained from photoplethysmogram signals with cardiointervalograms isolated from simultaneously recorded electrocardiogram signals during the analysis of phase synchronization between the phases of the extracted signals in the low-frequency range (0.04–0.15 Hz), which reflects the element activity of autonomic control of blood circulation. The operability of the approaches used in the analysis of the total percentage of phase synchronization of the autonomic regulation circuits of the cardiovascular system based on the photoplethysmogram signal for groups of healthy people and patients during COVID-19 was demonstrated.
ISSN:1064-2269
1555-6557
DOI:10.1134/S1064226922100084