Informational and statistical measures of the self-organization of the heart regulation systems in the analysis of heart rate variability
- Autores: Ilyakhinskiy A.1, Pakhomov P.2, Anufriev M.3, Mukhina I.2,3
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Afiliações:
- Institute of Machine-Building Problems
- Lobachevsky State University of Nizhny Novgorod
- Nizhny Novgorod State Medical Academy
- Edição: Volume 43, Nº 3 (2017)
- Páginas: 339-344
- Seção: Article
- URL: https://journals.rcsi.science/0362-1197/article/view/177204
- DOI: https://doi.org/10.1134/S0362119717020074
- ID: 177204
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Resumo
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.
Sobre autores
A. Ilyakhinskiy
Institute of Machine-Building Problems
Autor responsável pela correspondência
Email: ilyahinsky-aleks@bk.ru
Rússia, Nizhny Novgorod
P. Pakhomov
Lobachevsky State University of Nizhny Novgorod
Email: ilyahinsky-aleks@bk.ru
Rússia, Nizhny Novgorod
M. Anufriev
Nizhny Novgorod State Medical Academy
Email: ilyahinsky-aleks@bk.ru
Rússia, Nizhny Novgorod
I. Mukhina
Lobachevsky State University of Nizhny Novgorod; Nizhny Novgorod State Medical Academy
Email: ilyahinsky-aleks@bk.ru
Rússia, Nizhny Novgorod; Nizhny Novgorod