Email this article Informational and statistical measures of the self-organization of the heart regulation systems in the analysis of heart rate variability
- Authors: Ilyakhinskiy A.V.1, Pakhomov P.A.2, Anufriev M.A.3, Mukhina I.V.2,3
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Affiliations:
- Institute of Machine-Building Problems
- Lobachevsky State University of Nizhny Novgorod
- Nizhny Novgorod State Medical Academy
- Issue: Vol 43, No 3 (2017)
- Pages: 339-344
- Section: Article
- URL: https://journals.rcsi.science/0362-1197/article/view/177204
- DOI: https://doi.org/10.1134/S0362119717020074
- ID: 177204
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Abstract
The results of orthostatic tests measuring heart rate variability (HRV) in athletes are outlined here, using the Dirichlet distribution and the properties of information entropy. It has been shown that informational and statistical measures used for the analysis of HRV reflect the state of homeostasis regulating the cardiac activity and its dynamics with a higher degree of accuracy than the conventional indicators of variation statistics and spectral analysis.
About the authors
A. V. Ilyakhinskiy
Institute of Machine-Building Problems
Author for correspondence.
Email: ilyahinsky-aleks@bk.ru
Russian Federation, Nizhny Novgorod
P. A. Pakhomov
Lobachevsky State University of Nizhny Novgorod
Email: ilyahinsky-aleks@bk.ru
Russian Federation, Nizhny Novgorod
M. A. Anufriev
Nizhny Novgorod State Medical Academy
Email: ilyahinsky-aleks@bk.ru
Russian Federation, Nizhny Novgorod
I. V. Mukhina
Lobachevsky State University of Nizhny Novgorod; Nizhny Novgorod State Medical Academy
Email: ilyahinsky-aleks@bk.ru
Russian Federation, Nizhny Novgorod; Nizhny Novgorod
