Spectral analysis of signals of the regulatory system of blood circulation in patients with Covid-19
Skazkina V.V. - Saratov State University
Krasikova N.S. - Saratov State Medical University
Karavaev A.S. - Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Sciences; Saratov State Medical University; Saratov State University
Borovkova E.I. - Saratov State Medical University; Saratov State University
Kuligin A.V. - Saratov State Medical University
Ishbulatov Y.M. - Saratov State Medical University; Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Sciences; Saratov State University
Prokhorov R.S. - Saratov State Medical University
Kudryavzev A.G. - Saratov City Clinical Hospital No. 10
Kiselev A.R. - Saratov State Medical University; Saratov State University
Abstract
In this work, we investigated the features of the autonomic regulatory system of blood circulation in people with a confirmed diagnosis of Covid-19. We investigated the spectral components of the electrocardiogram and photoplethysmogram signals. The Welch method was used to estimate the spectral power of the low-frequency components of the signals. A cross-spectral analysis made it possible to assess the coupling of the studied regulatory systems. Comparison of the obtained results of the study of sick people with healthy people revealed some features of regulatory mechanisms.
Speaker
Viktoriia Skazkina
Saratov State University
Russia
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