Автор(и):

Galya Georgieva-Tsaneva, Institute of Robotics at the Bulgarian Academy of Sciences, Bulgaria, galitsaneva@abv.bg

Krasimir Cheshmedzhiev, Institute of Robotics at the Bulgarian Academy of Sciences, Bulgaria, cheshmedzhiev@gmail.com

Yoan-Aleksandar Tsanev, Technical University - Varna, Bulgaria, joan.al2001@gmail.com

Miroslav Dechev, Institute of Robotics at the Bulgarian Academy of Sciences, Bulgaria, miroslav.dechev@gmail.com

https://doi.org/10.55630/STEM.2025.0719

Абстракт:

    This article presents the development of an intelligent sensor system for monitoring and analyzing the health status of the human body. The system includes multiple biosensors for measuring electrocardiogram (ECG), photoplethysmographic signals (PPG), body temperature and physical activity. The main control module is the microcontroller, which collects, filters and transmits the data in real time. The data is processed locally, applying algorithms for extracting health parameters such as heart rate, heart rate variability (HRV) and abnormalities. PPG and ECG measurements are compared to validate the accuracy and reliability of the system. The obtained results show a high degree of correlation between the two methods, which confirms the applicability of PPG for continuous monitoring. The processing allows detection of potential health risks and automatic notification at critical values. The system is energy efficient and suitable for long-term use in wearable devices. The study shows the potential of cardio-based solutions for personalized healthcare and early diagnosis.

Ключови думи:

PPG; ECG; HRV; Cardio Sensor System; Signal Processing; Early Diagnosis;

Получена:

24-08-2025

Приета:

12-12-2025

Публикувана:

29-12-2025

Цитиране (APA style):

Georgieva-Tsaneva, G., Cheshmedzhiev, K., Tsanev, Y.A., Dechev, M. (2025). Sensor System for Research and Analysis of the Health State of the Organism, Science Series "Innovative STEM Education", volume 07, ISSN: 2683-1333, Institute of Mathematics and Informatics – Bulgarian Academy of Sciences, pp. 217-225, DOI: https://doi.org/10.55630/STEM.2025.0719

Адрес на PDF файл:

http://www.math.bas.bg/vt/stemedu/books/07/STEM.2025.0719.pdf