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双变量功能主成分分析抓举过程中杠铃运动轨迹。

Bivariate functional principal component analysis of barbell trajectories during the snatch.

机构信息

Department of Physical Therapy - Program in Exercise Science, Marquette University, Milwaukee, WI, USA.

San Francisco Giants, San Francisco, CA, USA.

出版信息

Sports Biomech. 2024 Jan;23(1):58-68. doi: 10.1080/14763141.2020.1820074. Epub 2020 Oct 28.

DOI:10.1080/14763141.2020.1820074
PMID:33112700
Abstract

The purpose of this study was to use principal components analysis (PCA) to quantify patterns in barbell trajectories during the snatch and to investigate whether these patterns correlate with weightlifting performance and biomechanical characteristics that characterise weightlifting technique. A motion capture system was used to record three-dimensional barbell trajectories as six weightlifters performed three snatch lifts during a weightlifting competition. Horizontal and vertical barbell positions of all lifts were used as input to a PCA. Weightlifting performance was quantified through the ratio of barbell mass/body-mass, whereas biomechanical variables were quantified through peak vertical barbell velocity and acceleration. The PCA extracted barbell trajectory patterns related to variations in general forward/backward motion (pattern 1), peak height (pattern 2), and crossing of the vertical reference line during the first pull (pattern 3). Spearman rank correlations showed that pattern 1 correlated positively with weightlifting performance and negatively with peak barbell velocity and acceleration. The opposite results were found for pattern 3. Interpretation of the extracted barbell trajectory patterns and statistical results suggest that better weightlifting performances were characterised by snatch lifts that exhibited general backward shifts and limited forward motions during the first and second pull, regardless of peak heights.

摘要

本研究旨在使用主成分分析(PCA)量化抓举过程中杠铃轨迹的模式,并探讨这些模式是否与举重表现和举重技术特征的生物力学特性相关。使用运动捕捉系统记录了六名举重运动员在举重比赛中进行的三次抓举的三维杠铃轨迹。将所有举重的杠铃水平和垂直位置用作 PCA 的输入。通过杠铃质量/体重比来量化举重表现,而通过峰值垂直杠铃速度和加速度来量化生物力学变量。PCA 提取了与总体前后运动变化(模式 1)、峰值高度(模式 2)以及第一拉动过程中垂直参考线交叉(模式 3)相关的杠铃轨迹模式。Spearman 等级相关分析表明,模式 1与举重表现呈正相关,与峰值杠铃速度和加速度呈负相关。模式 3 的结果则相反。对提取的杠铃轨迹模式的解释和统计结果表明,更好的举重表现特征是在第一和第二拉动过程中表现出总体向后移动和有限的向前运动,而与峰值高度无关。

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