Vector approach to integral evaluating of sportsmen functional states

Lebedev, V.V.; Isaychev, S.A.; Chernorizov, A.M.; Zinchenko, Y.P.

Информация о цитировании статьи получена из Web of Science
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 28 мая 2015 г.

Авторы: Lebedev Vyacheslav V., Isaychev Sergey A., Chernorizov Alexandr M., Zinchenko Yuriy P.
Журнал: Procedia - social and behavioral sciences
Том: 86
Год издания: 2013
Издательство: Elsevier
Местоположение издательства: United States
Первая страница: 610
Последняя страница: 614
DOI: 10.1016/j.sbspro.2013.08.622
Аннотация: One of the urgent problems of modern sports psychology is constructing the methods for objective diagnosis of the functional state of athletes (FSS). Monitoring the FSS allows to track and control any deviations in FSS from the individual optimal FSS of the athlete and to predict the reduction or increase the efficiency of his/her activity. For the organization of such kind of control it's necessary to develop an integrated assessment of FSS based on the complex psychophysiological data. In this study, an original algorithm for integral assessment of FSS was elaborated, which was based on the method of k-means clustering. The results showed that the proposed algorithm can differentiate resting functional state, the state for the optimal performance of the test task, and the functional state of physiological and psychological stress.
Добавил в систему: Лебедев Вячеслав Владимирович

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Vector approach to integral evaluating of sportsmen functional statesстатья

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