Informational and statistical measures of the self-organization of the heart regulation systems in the analysis of heart rate variability


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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


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