Modeling of functional support of sports activities of biathletes of different qualifications
| Autor: | Vladyslav Ruban, Tetiana Kravchenko, Sergii Trachuk, Natalia Pangelova, Tatiana Krutsevich, Volodymyr Stepanenko, Serhiy Priymak |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Biathlon
Artificial intelligence Process management biology Process (engineering) Athletes Computer science Physical Therapy Sports Therapy and Rehabilitation data mining biathlon biology.organism_classification artificial intelligence machine learning Action (philosophy) Physical performance physical working capacity Machine learning Quantitative assessment Educación Física y Deportiva Physical working capacity Sports activity lcsh:Sports medicine lcsh:RC1200-1245 Data mining |
| Zdroj: | Journal of Human Sport and Exercise, Vol 16, Iss 1, Pp 136-146 (2021) RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) |
| ISSN: | 1988-5202 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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