Remote screening of athletes' condition dynamics based on the analysis of cardiointervalograms using the Dirichlet distribution

Abstract

Health of people involved in sports is an important social problem and requires modern methods of control, including directly during training and competitions. The article discusses the possibilities of a diagnostic method based on the assessment of heart rate variability. Unlike most of the methods used, the analysis is based on the fact that complex multi-level hierarchically organized systems can be described in the framework of non-equilibrium thermodynamics, in particular, the statistical Dirichlet distribution model. The authors propose a system of indicators that allow remote monitoring of the current state of the body, describe hardware and software solutions, and consider the prospects for using the proposed method in sports medicine.