Modern methods of electronic monitoring of cardiovascular activity
DOI:
https://doi.org/10.15330/itee.2025.3.07Keywords:
cardiovascular diseases, portable monitoring, physiological data, personalized monitoring, databases, data protection, ECG, remote monitoring, IoTAbstract
The study demonstrates that implementing a system for monitoring cardiovascular diseases using portable devices and microcontrollers enables effective personalized tracking of patients’ physiological data in real time. The proposed architecture includes digital signal processing of ECG and other biosignals, data analysis with anomaly detection through machine learning algorithms, and secure transmission of data (TLS 1.3, encryption) to servers and cloud databases with controlled access for healthcare providers. The system is built on IoT technologies, API integration, and web services, ensuring remote monitoring, scalability, cybersecurity, and convenient access to results for medical personnel, thereby improving the efficiency and timeliness of clinical decision-making.
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