Journal of Human Sport and Exercise

Modeling of functional support of sports activities of biathletes of different qualifications

Serhiy Priymak, Tatiana Krutsevich, Natalia Pangelova, Sergii Trachuk, Tetiana Kravchenko, Volodymyr Stepanenko, Vladyslav Ruban


Quantitative assessment of the functional support of sports activities, as a reflection of the systematic approach, allows to identify the features of the body of athletes, to plan the training process and possible deviations in the action of multiple exogenous and endogenous factors. In accordance with the methodology of artificial intelligence and machine learning, the most informative indicators were determined, which determine the success of sports activities. This made it possible to determine the peculiarities of the functioning of the cardiovascular system of elite biathletes, which provides and limits physical performance. As a result of the research, functional models of high-, medium- and low-skilled biathletes have been built that will improve the training process.


Physical working capacity; Artificial intelligence; Data mining; Machine learning; Biathlon


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