Information technology for processing and analysis of electrocardiogram signals considering its morphological and rhythmic features

Keywords: electrocardiogram signal, amplitude variability, time variability, cyclic random process, rhythm function, morphological features, rhythmic features, express method of cardiodiagnostics, information technology, signal segmentation

Abstract

The article presents a comprehensive two-level information technology for processing and analysis of electrocardiogram signalі, which integrates an express method of cardiodiagnostics based on amplitude and time variability functions for use in extreme conditions and a detailed mathematical apparatus based on cyclic random processes for complete analysis of morphological and rhythmic signal features. The developed technology includes a structural scheme with blocks of preprocessing, segmentation, rhythm function formation, statistical processing and classification, which allows its use both for rapid diagnosis of critical conditions (extrasystole, fibrillation) and for planned detailed cardiodiagnostics. A systematization and classification of existing methods for analyzing the amplitude variability of electrocardiogram signal has also been conducted.

References

1. Sverstiuk A., Mosiy L. Information technology for electrocardiographic signal analysis based on mathematical models of temporal and amplitude variability // Computer Systems and Information Technologies. – 2025. – № 2. – P. 36-44.
2. Hannon, C., Deka, D., Jin, D., Vuffray, M., & Lokhov, A. Y. (2019). Real-time Anomaly Detection and Classification in Streaming PMU Data (Version 1). arXiv.
3. Drummond, G. B., & Vowler, S. L. (2012). Analysis of variance: variably complex. The Journal of Physiology, 590(6), 1303–1306.
4. McCluskey, A., & Lalkhen, A. G. (2007). Statistics II: Central tendency and spread of data. Continuing Education in Anaesthesia Critical Care & Pain, 7(4), 127–130.
5. Bentes, S. R., & Menezes, R. (2012). Entropy: A new measure of stock market volatility? Journal of Physics: Conference Series, 394, 012033

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Published
2025-09-19
How to Cite
Sverstiuk А., & Mosiy , L. (2025). Information technology for processing and analysis of electrocardiogram signals considering its morphological and rhythmic features. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (60), 40-52. https://doi.org/10.36910/6775-2524-0560-2025-60-04