Analysis Algorithm of Biomedical Signals in Remote Monitoring Systems of Human Health
https://doi.org/10.35596/1729-7648-2023-21-1-5-11
Abstract
The article considers the problems of adaptation of existing and development of new diagnostic algorithms and methods of remote monitoring of the physiological state of a person in relation to the Internet of Things technology. In order to reduce the energy consumption of the wearable unit and biomedical signal sensors, reduce the redundancy of the recorded and transmitted diagnostic information, the critical situation recognition process is divided into two stages. At the first stage, the main indicators (heart rate and human fall signal) are monitored. If they do not comply with the norm, additional signals are analyzed (the second stage) to confirm the critical situa tion and determine the degree of alarm.
About the Authors
A. N. Osipov
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Osipov Anatoly Nikolaevich, Cand. of Sci., Associate Professor, Head of the Center for Interdisciplinary Researches “Center for Plasma and Biomedical Engineering”
220013, Minsk, P. Brovka St., 6
+375 17 293-86-41
A. V. Patseev
Republican Center for Medical Rehabilitation and Balne Treatment; 1st City Clinical Hospital
Belarus
Belarus
Chief Physician
Minsk
S. V. Patseev
1st City Clinical Hospital
Belarus
Belarus
Doctor
Minsk
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Review
For citations:
Osipov A.N., Patseev A.V., Patseev S.V. Analysis Algorithm of Biomedical Signals in Remote Monitoring Systems of Human Health. Doklady BGUIR. 2023;21(1):5-11. (In Russ.) https://doi.org/10.35596/1729-7648-2023-21-1-5-11
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