School of Electronics and Computer Science, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
J Biomech. 2012 Apr 5;45(6):1108-11. doi: 10.1016/j.jbiomech.2012.01.007. Epub 2012 Jan 31.
Gait asymmetry analyses are beneficial from clinical, coaching and technology perspectives. Quantifying overall athlete asymmetry would be useful in allowing comparisons between participants, or between asymmetry and other factors, such as sprint running performance. The aim of this study was to develop composite kinematic and kinetic asymmetry scores to quantify athlete asymmetry during maximal speed sprint running. Eight male sprint trained athletes (age 22±5 years, mass 74.0±8.7 kg and stature 1.79±0.07 m) participated in this study. Synchronised sagittal plane kinematic and kinetic data were collected via a CODA motion analysis system, synchronised to two Kistler force plates. Bilateral, lower limb data were collected during the maximal velocity phase of sprint running (velocity=9.05±0.37 ms(-1)). Kinematic and kinetic composite asymmetry scores were developed using the previously established symmetry angle for discrete variables associated with successful sprint performance and comparisons of continuous joint power data. Unlike previous studies quantifying gait asymmetry, the scores incorporated intra-limb variability by excluding variables from the composite scores that did not display significantly larger (p<0.05) asymmetry than intra-limb variability. The variables that contributed to the composite scores and the magnitude of asymmetry observed for each measure varied on an individual participant basis. The new composite scores indicated the inter-participant differences that exist in asymmetry during sprint running and may serve to allow comparisons between overall athlete asymmetry with other important factors such as performance.
步态不对称性分析在临床、教练和技术方面都有好处。量化运动员整体的不对称性将有助于在参与者之间或不对称性与其他因素(如短跑表现)之间进行比较。本研究的目的是开发综合运动学和动力学不对称评分,以量化最大速度短跑过程中运动员的不对称性。8 名男性短跑训练运动员(年龄 22±5 岁,体重 74.0±8.7 公斤,身高 1.79±0.07 米)参与了这项研究。通过 CODA 运动分析系统同步收集矢状面运动学和动力学数据,并与两个 Kistler 力板同步。在短跑最大速度阶段(速度=9.05±0.37 ms(-1)) 收集双侧下肢数据。使用与成功短跑表现相关的离散变量的先前建立的对称角以及连续关节功率数据的比较,开发运动学和动力学综合不对称评分。与以前量化步态不对称性的研究不同,该评分通过从综合评分中排除不对称性比肢体内变异性不显著更大(p<0.05)的变量,从而纳入了肢体内变异性。对综合评分有贡献的变量以及每个测量值观察到的不对称性幅度因个体参与者而异。新的综合评分表明了在短跑过程中不对称性存在的个体间差异,并且可能有助于将运动员整体不对称性与其他重要因素(如表现)进行比较。