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DOI: 10.14569/IJACSA.2021.0121261
PDF

Comparative Heart Rate Variability Analysis of ECG, Holter and PPG Signals

Author 1: Galya N. Georgieva-Tsaneva
Author 2: Evgeniya Gospodinova

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 12, 2021.

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Abstract: The article presents a demonstrative software system with included procedures for input, preprocessing and mathematically based analysis of cardiac data. The created program has the ability to work with the following signals: ECG, holter recordings, PPG signals. The presented system uses real cardiological data from patients and obtained with modern medical devices - electrocardiography, continuous holter monitoring, photoplethysmography device and others. The presented system allows mathematically based study of cardiac records through the use of linear, nonlinear, fractal and wavelet based methods. A comparative analysis was made of the results obtained in the evaluation of the HRV parameters in the three types of signals used. The difference between HRV time series (cardiac intervals and HRV analysis) obtained by examination of individuals diagnosed with heart failure and healthy individuals is graphically presented. The findings indicate that studies of heart rate variability on ECG, Holter and PPG records can be used to support the cardiac practice of physicians.

Keywords: Heart rate variability; cardiovascular diseases; mathematical analysis; holter records; software system

Galya N. Georgieva-Tsaneva and Evgeniya Gospodinova, “Comparative Heart Rate Variability Analysis of ECG, Holter and PPG Signals” International Journal of Advanced Computer Science and Applications(IJACSA), 12(12), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121261

@article{Georgieva-Tsaneva2021,
title = {Comparative Heart Rate Variability Analysis of ECG, Holter and PPG Signals},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121261},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121261},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {12},
author = {Galya N. Georgieva-Tsaneva and Evgeniya Gospodinova}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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