过程(计算)
动作(物理)
运动员
精英
功能训练
心理学
计算机科学
反射(计算机编程)
应用心理学
物理医学与康复
物理疗法
医学
政治学
物理
量子力学
政治
法学
程序设计语言
操作系统
作者
Serhiy Priymak,Тетяна Круцевич,Наталя Пангелова,Сергій Трачук,Tetiana Kravchenko,Volodymyr Stepanenko,VLADYSLAV RUBAN
标识
DOI:10.14198/jhse.2021.161.12
摘要
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.
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