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主成分波形分析在识别垂直跳跃性能提高中的应用。

Application of the principal component waveform analysis to identify improvements in vertical jump performance.

机构信息

a Physical Performance & Sports Research , Universidad Pablo de Olavide , Seville , Spain.

b Department of Sport , CEU San Pablo University , Bormujos , Spain.

出版信息

J Sports Sci. 2019 Feb;37(4):370-377. doi: 10.1080/02640414.2018.1504602. Epub 2018 Jul 30.

Abstract

The purpose of this study was to determine the effects of training on the force-, velocity-, and displacement-time curves using principal component analysis (PCA) to examine the pre to post intervention changes. Thirty-four trained women basketball players were randomly divided into training and control groups. The training intervention consisted of full squats combined with repeated jumps. The effects of the intervention were analysed before and after the training period of 6 weeks by comparing the principal component scores. The magnitude of differences within-/between-group were calculated and expressed as standardised differences. After the intervention period, clear changes in principal components were observed in the training group compared to the control group. These were related to the execution of a vertical jump with a faster and deeper countermovement that was stopped with greater force. This resulted in greater force from the start of the upward movement phase which was maintained for a longer time. This increase in force throughout a greater range of motion increased the take-off velocity and consequently jumping height.

摘要

本研究旨在通过主成分分析(PCA)来确定训练对力-速度-位移时间曲线的影响,以检查干预前后的变化。34 名受过训练的女子篮球运动员被随机分为训练组和对照组。训练干预包括深蹲结合重复跳跃。通过比较主成分得分,分析了 6 周训练期前后的干预效果。计算了组内/组间差异的幅度,并以标准化差异表示。干预后,与对照组相比,训练组的主成分明显发生了变化。这些变化与执行更快、更深的反向运动的垂直跳跃有关,该运动在更大的力的作用下停止。这导致了从向上运动阶段开始更大的力,并且维持更长的时间。在更大的运动范围内增加的力增加了起飞速度,从而增加了跳跃高度。

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