Modeling of Functional Support of Sports Activities of Biathletes of Different Qualifications

dc.contributor.authorPriymak, Serhiy
dc.contributor.authorKrutsevich, Tatiana
dc.contributor.authorPangelova, Natalia
dc.contributor.authorTrachuk, Sergii
dc.contributor.authorKravchenko, Tetiana
dc.contributor.authorStepanenko, Volodymyr
dc.contributor.authorRuban, Vladyslav
dc.date.accessioned2020-10-19T11:33:33Z
dc.date.available2020-10-19T11:33:33Z
dc.date.issued2020-01
dc.descriptionModeling 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 // Journal of Human Sport and Exercise. ─ 2020. ─ https://doi.org/10.14198/jhse.2021.161.12.uk_UA
dc.description.abstractQuantitative 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.uk_UA
dc.identifier.udkhttp://reposit.uni-sport.edu.ua/handle/787878787/2910
dc.language.isoenuk_UA
dc.publisherJournal of Human Sport and Exerciseuk_UA
dc.subjectphysical working capacityuk_UA
dc.subjectartificial intelligenceuk_UA
dc.subjectbiathlonuk_UA
dc.subjectdata mininguk_UA
dc.subjectmachine learninguk_UA
dc.titleModeling of Functional Support of Sports Activities of Biathletes of Different Qualificationsuk_UA
dc.typeArticleuk_UA

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