Multi-Parameter Analysis of Biosignals in Long-Term Control Medical Devices Management

The development of data processing technologies, microelectronics and sensor systems allows for high-precision multiparametric analysis of biosignals in real time. The paper considers the problem of automating medical processes to reduce the influence of the human factor and increase the accuracy of diagnostics. An improved method of multiparametric analysis of biosignals is proposed for long-term monitoring of the state of the cardiovascular system using modern sensor devices, data processing algorithms and artificial intelligence technologies. The research is aimed at improving the methods of collecting, transmitting and analyzing biosignals, which contributes to the creation of personalized medical devices and effective prediction of cardiovascular pathologies. The issues of classification of devices and biosignals, as well as their mathematical modeling to increase the accuracy of diagnostics, are considered.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/ichora65333.2025.11017091
Primary Topic
Sensor Technology and Measurement Systems
Type
article
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article

Multi-Parameter Analysis of Biosignals in Long-Term Control Medical Devices Management

Olha Tiutiunyk, Olena Serhiienko, Natalia Brynza, І. І. Соснов et al.
Sensor Technology and Measurement Systems
article

Multi-Parameter Analysis of Biosignals in Long-Term Control Medical Devices Management

Olha Tiutiunyk, Olena Serhiienko, Natalia Brynza, І. І. Соснов, Serhii Holdobin, Pavlo O. Samus
article en

Abstract

The development of data processing technologies, microelectronics and sensor systems allows for high-precision multiparametric analysis of biosignals in real time. The paper considers the problem of automating medical processes to reduce the influence of the human factor and increase the accuracy of diagnostics. An improved method of multiparametric analysis of biosignals is proposed for long-term monitoring of the state of the cardiovascular system using modern sensor devices, data processing algorithms and artificial intelligence technologies. The research is aimed at improving the methods of collecting, transmitting and analyzing biosignals, which contributes to the creation of personalized medical devices and effective prediction of cardiovascular pathologies. The issues of classification of devices and biosignals, as well as their mathematical modeling to increase the accuracy of diagnostics, are considered.

Simon Kuznets Kharkiv National University of Economics (UA), National Technical University "Kharkiv Polytechnic Institute" (UA)
Openalex Percentile: Top 86%
Sensor Technology and Measurement Systems
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Multi-Parameter Analysis of Biosignals in Long-Term Control Medical Devices Management — Olha Tiutiunyk, Olena Serhiienko, et al. · (2025) | TGRS Research Map | TGRS