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

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.

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