Department of Statistics, Umeå School of Business, Economics and Statistics, Umeå University, Samhällsvetarhuset, 901 87 Umeå, Sweden.
Department of Statistical Sciences, Università Cattolica del Sacro Cuore, Milan, Italy.
J Biomech. 2021 Jul 19;124:110546. doi: 10.1016/j.jbiomech.2021.110546. Epub 2021 Jun 12.
Motion capture systems enable in-depth interpretations of human movements based on data from three-dimensional joint angles and moments. Such analyses carry important bearings for evaluation of movement control during for instance hop landings among sports-active individuals from a performance perspective but also in rehabilitation. Recent statistical development allows analysis of entire time-series of angle and moment during hops using functional data analysis, but the reliability of such multifaceted data is not established. We used integrated pointwise indices (intra-class correlation, ICC; standard error of measurement, SEM) to establish the test-retest reliability of three-dimensional hip, knee and ankle angle and moment curves during landings of one-leg hop for distance (OLHD) in 23 asymptomatic individuals aged 18-28. We contrasted these findings to reliability of discrete variables extracted at specific events (initial contact, peak value). We extended the calculations of ICC and SEM to handle unbalanced situations (varying number of repetitions) to include all available data. Hip and knee angle curves proved reliable with stable ICC curves throughout the landing, with integrated ICCs ≥ 0.71 for all planes except for knee internal/external rotation (ICC = 0.57). Hip and knee moment curves and ankle angle and moments were less reliable and less stable, particularly in the first ~ 10-25% of the landing (integrated ICCs 0.44-0.57). Curve data were generally not in agreement with the results for discrete event data, thus advocating analysis of curve data which contains more information. To conclude, hip and knee angle curve data during OLHD landings can reliably be evaluated, while moment curves necessitate careful consideration.
运动捕捉系统能够基于三维关节角度和力矩数据深入解读人体运动。这种分析对于评估运动控制具有重要意义,例如从运动表现的角度评估运动活跃个体的跳跃着陆,但也可用于康复。最近的统计发展允许使用功能数据分析对跳跃过程中的整个角度和力矩时间序列进行分析,但这种多方面数据的可靠性尚未确定。我们使用综合逐点指标(组内相关系数 ICC;测量标准误差 SEM)来确定 23 名年龄在 18-28 岁之间的无症状个体进行单腿跳跃距离着陆(OLHD)时的三维髋关节、膝关节和踝关节角度和力矩曲线的测试-重测可靠性。我们将这些发现与特定事件(初始接触、峰值)提取的离散变量的可靠性进行对比。我们将 ICC 和 SEM 的计算扩展到处理不平衡情况(重复次数不同),以包括所有可用数据。髋关节和膝关节角度曲线具有可靠性,整个着陆过程中 ICC 曲线稳定,所有平面的综合 ICC 均≥0.71,除了膝关节内/外旋(ICC=0.57)。髋关节和膝关节力矩曲线以及踝关节角度和力矩的可靠性和稳定性较低,尤其是在着陆的前 10-25%(综合 ICC 为 0.44-0.57)。曲线数据通常与离散事件数据的结果不一致,因此提倡分析包含更多信息的曲线数据。总之,OLHD 着陆时的髋关节和膝关节角度曲线数据可以可靠地评估,而力矩曲线则需要仔细考虑。