Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
Institute of Sports Medicine, Peking University Third Hospital, Beijing, 100191, China.
Gait Posture. 2018 Feb;60:99-103. doi: 10.1016/j.gaitpost.2017.11.020. Epub 2017 Nov 22.
Variability of kinematic measures determined by different marker sets among sites participating in a collaborative study is necessary for determining the reliability of a multi-site gait analysis research. We compared knee kinematics based on different marker sets on the tibia, calculating by segmental optimization (SO) and multi-body optimization (MBO) methods respectively, in order to assess the effect of marker locations on the methods. 11 healthy subjects participated in the study with 33 markers attached to the lower extremity segments, and 4 groups were identified according to markers on the tibia. Knee joint kinematics during level walking were measured and then compared among the 4 groups using statistical parametric mapping. For SO method, the results showed that there were no significant differences in the knee joint angles when used different marker sets on the tibia. However, significant differences were found in the transverse plane kinematics for MBO method. It was concluded that MBO method was more likely to be influenced by different marker sets. More attention should be paid to marker sets, specifically for MBO method, when three-dimensional gait analysis data are shared and interpreted among sites for clinical decision-making.
在协作研究中，不同标记点集确定的运动学测量值的变异性对于确定多站点步态分析研究的可靠性是必要的。我们比较了基于胫骨上不同标记点集的膝关节运动学，分别通过分段优化 (SO) 和多体优化 (MBO) 方法进行计算，以评估标记位置对方法的影响。11 名健康受试者参与了这项研究，下肢各节段附有 33 个标记点，并根据胫骨上的标记点将其分为 4 组。在水平行走过程中测量膝关节运动学，然后使用统计参数映射在 4 组之间进行比较。对于 SO 方法，结果表明，当在胫骨上使用不同的标记集时，膝关节角度没有显著差异。然而，对于 MBO 方法，在横断面上的运动学存在显著差异。结论认为，MBO 方法更容易受到不同标记集的影响。当为临床决策在站点之间共享和解释三维步态分析数据时，应更加注意标记集，特别是对于 MBO 方法。
