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使用较轻或较重杠铃负荷时,举重(抓举)中的运动模式如何变化?——两种基于主成分分析的技术研究方法的比较

How Do Movement Patterns in Weightlifting (Clean) Change When Using Lighter or Heavier Barbell Loads?-A Comparison of Two Principal Component Analysis-Based Approaches to Studying Technique.

作者信息

Werner Inge, Szelenczy Nicolai, Wachholz Felix, Federolf Peter

机构信息

Department of Sport Science, University of Innsbruck, Innsbruck, Austria.

BFF Training Ulm, Ulm, Germany.

出版信息

Front Psychol. 2021 Jan 25;11:606070. doi: 10.3389/fpsyg.2020.606070. eCollection 2020.

DOI:10.3389/fpsyg.2020.606070
PMID:33569024
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7868553/
Abstract

This study compared whole body kinematics of the clean movement when lifting three different loads, implementing two data analysis approaches based on principal component analysis (PCA). Nine weightlifters were equipped with 39 markers and their motion captured with 8 Vicon cameras at 100 Hz. Lifts of 60, 85, and 95% of the one repetition maximum were analyzed. The first PCA (PCA) analyzed variance among time-normed waveforms compiled from subjects and trials; the second PCA (PCA) analyzed postural positions compiled over time, subjects and trials. Load effects were identified through repeated measures ANOVAs with Bonferroni-corrected and through Cousineau-Morey confidence intervals. PCA scores differed in the first ( < 0.016, η = 0.694) and fifth ( < 0.006, η = 0.768) principal component, suggesting that increased barbell load produced higher initial elevation, lower squat position, wider feet position after squatting, and less inclined arms. PCA revealed significant timing differences in all components. We conclude, first, barbell load affects specific aspects of the movement pattern of the clean; second, the PCA approach is better suited for detecting deviations from a mean motion trajectory and its results are easier to interpret; the PCA approach reveals coordination patterns and facilitates comparisons of postural speeds and accelerations.

摘要

本研究比较了在举起三种不同负荷时挺举动作的全身运动学,采用了基于主成分分析(PCA)的两种数据分析方法。九名举重运动员身上佩戴了39个标记物,并通过8台Vicon摄像机以100Hz的频率捕捉他们的动作。分析了一次最大重复量的60%、85%和95%的举重动作。第一种主成分分析(PCA)分析了从受试者和试验中汇编的时间标准化波形之间的方差;第二种主成分分析(PCA)分析了随时间、受试者和试验汇编的姿势位置。通过重复测量方差分析和Bonferroni校正以及Cousineau-Morey置信区间来确定负荷效应。主成分分析得分在第一主成分(<0.016,η=0.694)和第五主成分(<0.006,η=0.768)中存在差异,表明杠铃负荷增加会导致初始举起高度更高、深蹲位置更低、深蹲后双脚位置更宽以及手臂倾斜度更小。主成分分析揭示了所有成分中存在显著的时间差异。我们得出结论,首先,杠铃负荷会影响挺举动作模式的特定方面;其次,主成分分析方法更适合检测与平均运动轨迹的偏差,其结果更易于解释;主成分分析方法揭示了协调模式,并便于比较姿势速度和加速度。

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