Abstract: There is an open discussion over nonlinear properties of the Heart Rate Variability (HRV) which takes place in most scientific studies nowadays. The HRV analysis is a non-invasive and effective tool that manages to reflect the autonomic nervous system regulation of the heart. The current study presents the results of HRV analysis based on 24-hour Holter ECG signals of healthy and unhealthy subjects. Analysis of heart intervals is performed with the use of original algorithms and software, developed by the authors, to quantify the irregularity of the heart rate. The main aim is the formation of the parametric estimate of patients’ health status, based on mathematical methods that are applied on cardiac physiology. The obtained results show that the analysis of Holter recordings by nonlinear methods may be appropriate for diagnostic, forecast and prevention of the pathological cardiac statuses. Different approaches of graphical representation and visualization of these results are used in order to verify this.

Evgeniya Gospodinova, Mitko Gospodinov, Ivan Domuschiev, Nilianjan Dey, Amira S. Ashour and Dimitra Sifaki-Pistolla, “Analysis of Heart Rate Variability by Applying Nonlinear Methods with Different Approaches for Graphical Representation of Results” International Journal of Advanced Computer Science and Applications(IJACSA), 6(8), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060805

@article{Gospodinova2015,
title = {Analysis of Heart Rate Variability by Applying Nonlinear Methods with Different Approaches for Graphical Representation of Results},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2015.060805},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060805},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {8},
author = {Evgeniya Gospodinova and Mitko Gospodinov and Ivan Domuschiev and Nilianjan Dey and Amira S. Ashour and Dimitra Sifaki-Pistolla},
}