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精英青年、少年和成年游泳运动员转身动作的关键绩效指标及参考值。

Key performance indicators and reference values for turn performance in elite youth, junior and adult swimmers.

作者信息

Born Dennis-Peter, Burkhardt David, Buck Markus, Schwab Laurie, Romann Michael

机构信息

Section for High-Performance Sports, Swiss Swimming Federation, Bern, Switzerland.

Department for Elite Sport, Swiss Federal Institute of Sport Magglingen, Magglingen, Switzerland.

出版信息

Sports Biomech. 2024 Oct 2:1-21. doi: 10.1080/14763141.2024.2409657.

DOI:10.1080/14763141.2024.2409657
PMID:39356048
Abstract

This study aimed to determine kinematic and kinetic key performance indicators (KPI) of swimming turn performance using principal component analysis (PCA) and multiple linear regression analysis and provide reference values using percentiles. Touch and tumble turn performances of male ( = 68) and female ( = 48) Swiss national team members from three age categories-adult (20.2 ± 2.7 yrs, 790 ± 57 points), junior (16.2 ± 0.8 yrs, 729 ± 53 points) and youth swimmers (14.4 ± 1.0 years of age, 667 ± 53 World Aquatics swimming points, respectively)-were assessed with a motion analysis system equipped with a force plate on the pool wall, one over- and four underwater cameras sampling forces at 500 Hz and footages at 100 Hz. The PCA reduced the 27 original variables by up to 15% depending on turn type and age category using Varimax component loading of >0.6 and explained up to 91% of the total variance. The highest Varimax component loadings for each principal component were used to determine KPI for each turn type and age category using multiple-regression analysis with total turn time as dependent variable. These KPI should be used to interpret turn performances and identify individual swimmers' strengths, weaknesses and future potentials with the help of the percentiles as reference values.

摘要

本研究旨在使用主成分分析(PCA)和多元线性回归分析来确定游泳转身动作的运动学和动力学关键性能指标(KPI),并使用百分位数提供参考值。对来自三个年龄组的瑞士国家队男性(n = 68)和女性(n = 48)游泳运动员的触壁转身和翻滚转身动作进行了评估,这三个年龄组分别为成年组(20.2±2.7岁,790±57分)、青少年组(16.2±0.8岁,729±53分)和青年组(14.4±1.0岁,667±53分,均为国际泳联游泳积分)。使用安装在泳池壁上的测力板、一台水面以上和四台水下摄像机的运动分析系统进行评估,测力板以500Hz采样力,摄像机以100Hz采样画面。根据转身类型和年龄组,主成分分析使用方差最大化成分载荷>0.6,将27个原始变量减少了高达15%,并解释了高达91%的总方差。使用总转身时间作为因变量,通过多元回归分析,利用每个主成分的最高方差最大化成分载荷来确定每种转身类型和年龄组的KPI。这些KPI应用于解释转身动作表现,并借助百分位数作为参考值来识别个体游泳运动员的优势、劣势和未来潜力。

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