Autor(s):

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

https://doi.org/10.55630/STEM.2025.0717

Abstract:

    This work presents an automatic notification mechanism within an intelligent cardiology information system based on electrocardiogram (ECG), photoplethysmography (PPG), and heart rate variability (HRV) analysis for the detection of deviations from the normal range of key HRV parameters. Particular attention is paid to signal preprocessing, noise suppression methods, and reliable detection of characteristic points. The proposed automatic notification system relies on developed algorithms for HRV parameter extraction and analysis, covering time-domain, frequency-domain, and nonlinear characteristics in order to identify physiological risk conditions. When deviations from normality are detected—for example, reduced SDNN values or an increased LF/HF ratio—the system triggers an automatic alert to the observing medical specialist. The system is designed for real-time operation and is suitable for deployment on edge or wearable devices. Experimental results demonstrate high performance of the proposed methodology when evaluated on recordings from a proprietary database created by the authors.

Keywords:

Sensor System; Electrocardiogram; Photoplethysmography; Heart Rate Variability; Cardio Database; Edge Devices;

Received:

08-10-2025

Accepted:

16-12-2025

Published:

29-12-2025

Cite (APA style):

Georgieva-Tsaneva, G., Cheshmedzhiev, K. (2025). Modern Technologies for Registration, Processing and Analysis of Physiological Signals (ECG, PPG), and Decision-making in Sensory Information Systems, Science Series "Innovative STEM Education", volume 07, ISSN: 2683-1333, Institute of Mathematics and Informatics – Bulgarian Academy of Sciences, pp. 201-211, DOI: https://doi.org/10.55630/STEM.2025.0717

PDF file address:

http://www.math.bas.bg/vt/stemedu/books/07/STEM.2025.0717.pdf