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高尔夫挥杆动作中躯干运动学变量分析的二维与三维方法比较

Comparison of Two- and Three-Dimensional Methods for Analysis of Trunk Kinematic Variables in the Golf Swing.

作者信息

Smith Aimée C, Roberts Jonathan R, Wallace Eric S, Kong Pui, Forrester Stephanie E

机构信息

Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, Loughborough, UK.

出版信息

J Appl Biomech. 2016 Feb;32(1):23-31. doi: 10.1123/jab.2015-0032. Epub 2015 Sep 14.

Abstract

Two-dimensional methods have been used to compute trunk kinematic variables (flexion/extension, lateral bend, axial rotation) and X-factor (difference in axial rotation between trunk and pelvis) during the golf swing. Recent X-factor studies advocated three-dimensional (3D) analysis due to the errors associated with two-dimensional (2D) methods, but this has not been investigated for all trunk kinematic variables. The purpose of this study was to compare trunk kinematic variables and X-factor calculated by 2D and 3D methods to examine how different approaches influenced their profiles during the swing. Trunk kinematic variables and X-factor were calculated for golfers from vectors projected onto the global laboratory planes and from 3D segment angles. Trunk kinematic variable profiles were similar in shape; however, there were statistically significant differences in trunk flexion (-6.5 ± 3.6°) at top of backswing and trunk right-side lateral bend (8.7 ± 2.9°) at impact. Differences between 2D and 3D X-factor (approximately 16°) could largely be explained by projection errors introduced to the 2D analysis through flexion and lateral bend of the trunk and pelvis segments. The results support the need to use a 3D method for kinematic data calculation to accurately analyze the golf swing.

摘要

二维方法已被用于计算高尔夫挥杆过程中的躯干运动学变量(屈伸、侧弯、轴向旋转)和X因子(躯干与骨盆之间轴向旋转的差异)。最近的X因子研究主张采用三维(3D)分析,因为二维(2D)方法存在误差,但尚未对所有躯干运动学变量进行研究。本研究的目的是比较二维和三维方法计算的躯干运动学变量和X因子,以检验不同方法在挥杆过程中如何影响它们的特征。通过投影到全局实验室平面上的向量和三维节段角度计算高尔夫球手的躯干运动学变量和X因子。躯干运动学变量的特征在形状上相似;然而,在后摆顶点时躯干前屈(-6.5±3.6°)和击球时躯干右侧侧弯(8.7±2.9°)存在统计学上的显著差异。二维和三维X因子之间的差异(约16°)在很大程度上可以通过躯干和骨盆节段的屈伸和侧弯引入二维分析的投影误差来解释。结果支持需要使用三维方法进行运动学数据计算,以准确分析高尔夫挥杆动作。

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