Informational and statistical measures of the self-organization of the heart regulation systems in the analysis of heart rate variability
- 作者: Ilyakhinskiy A.1, Pakhomov P.2, Anufriev M.3, Mukhina I.2,3
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隶属关系:
- Institute of Machine-Building Problems
- Lobachevsky State University of Nizhny Novgorod
- Nizhny Novgorod State Medical Academy
- 期: 卷 43, 编号 3 (2017)
- 页面: 339-344
- 栏目: Article
- URL: https://journals.rcsi.science/0362-1197/article/view/177204
- DOI: https://doi.org/10.1134/S0362119717020074
- ID: 177204
如何引用文章
详细
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.
作者简介
A. Ilyakhinskiy
Institute of Machine-Building Problems
编辑信件的主要联系方式.
Email: ilyahinsky-aleks@bk.ru
俄罗斯联邦, Nizhny Novgorod
P. Pakhomov
Lobachevsky State University of Nizhny Novgorod
Email: ilyahinsky-aleks@bk.ru
俄罗斯联邦, Nizhny Novgorod
M. Anufriev
Nizhny Novgorod State Medical Academy
Email: ilyahinsky-aleks@bk.ru
俄罗斯联邦, Nizhny Novgorod
I. Mukhina
Lobachevsky State University of Nizhny Novgorod; Nizhny Novgorod State Medical Academy
Email: ilyahinsky-aleks@bk.ru
俄罗斯联邦, Nizhny Novgorod; Nizhny Novgorod