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.