Institute of Mathematics and Informatics – Bulgarian Academy of Sciences
Citation:
Georgieva-Tsaneva, G. (2023). Software Program for Analysis of HRV of Cardio Signals Registered through Electrocardiographic, Holter and Photopletysmographic Device, Science Series "Innovative STEM Education", volume 05, ISSN: 2683-1333, Institute of Mathematics and Informatics – Bulgarian Academy of Sciences, pp. 53-61, DOI: https://doi.org/10.55630/STEM.2023.0507
Series/Report no.:
Science Series "Innovative STEM Education", volume 05;07
Abstract:
The article presents a demonstration software program for evaluating three types of cardiac signals. Mathematical methods for analyzing electrocardiographic, photoplethysmographic and Holter signals are considered. The different cardio signals are analyzed from the presented information system and conclusions are drawn regarding their practical use. The article describes software procedures for the analysis and estimation of heart rate variability extracted from the heart rate registration signals.
