Review and analysis of modern systems for monitoring human vital activities

This article provides an overview of existing systems for automatic monitoring of human vital signs, their architectural solutions, technologies, and areas of application. The main types of wearable and stationary devices for monitoring physiological parameters, such as heart rate (HR), blood pressure, blood oxygen level (SpO₂), body temperature, and physical activity are considered. The sensors used (optical, electrical, mechanical), data transmission methods (Bluetooth, Wi-Fi, NFC), and approaches to information processing, including signal filtering and machine learning algorithms are analyzed. Particular attention is paid to the issues of measurement accuracy, energy efficiency, data privacy, and integration with mobile applications and cloud services. The advantages and disadvantages of existing solutions, as well as the prospects for their development to improve the quality of medical care and personalized health monitoring, are noted.

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Publication Details

Journal
Vestnik of M Kozybayev North Kazakhstan University
Published
2025-07-04
DOI
https://doi.org/10.54596/2958-0048-2025-2-161-166
Primary Topic
Human Health and Disease
Type
article
Field-Weighted Citation Impact
0.00
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article

Review and analysis of modern systems for monitoring human vital activities

Д. В. Риттер, N. V. Zykova, Ekaterina Ritter, N. Umarov
Vestnik of M Kozybayev North Kazakhstan University
Human Health and Disease
article

Review and analysis of modern systems for monitoring human vital activities

Д. В. Риттер, N. V. Zykova, Ekaterina Ritter, N. Umarov
article en

Abstract

This article provides an overview of existing systems for automatic monitoring of human vital signs, their architectural solutions, technologies, and areas of application. The main types of wearable and stationary devices for monitoring physiological parameters, such as heart rate (HR), blood pressure, blood oxygen level (SpO₂), body temperature, and physical activity are considered. The sensors used (optical, electrical, mechanical), data transmission methods (Bluetooth, Wi-Fi, NFC), and approaches to information processing, including signal filtering and machine learning algorithms are analyzed. Particular attention is paid to the issues of measurement accuracy, energy efficiency, data privacy, and integration with mobile applications and cloud services. The advantages and disadvantages of existing solutions, as well as the prospects for their development to improve the quality of medical care and personalized health monitoring, are noted.

Vestnik of M Kozybayev North Kazakhstan University(2 (66))
Manash Kozybayev North Kazakhstan University (KZ)
Openalex Percentile: Top 77%
Human Health and Disease
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