The Rehabilitation Research Institute of Singapore (RRIS),Nanyang Technological University, Singapore; The University of Western Australia, The School of Human Sciences (Exercise and Sport Science), Perth, Australia.
The University of Western Australia, The School of Human Sciences (Exercise and Sport Science), Perth, Australia.
J Sci Med Sport. 2021 Feb;24(2):159-163. doi: 10.1016/j.jsams.2020.07.009. Epub 2020 Jul 31.
Investigate how prescribing participant-specific joint co-ordinates during model preparation influences the measurement agreement of inverse kinematic (IK) derived unplanned sidestepping (UnSS) lower limb kinematics in OpenSim in comparison to an established direct kinematic (DK) model.
Parallel forms repeatability.
The lower limb UnSS kinematics of 20 elite female athletes were calculated using: 1) an established DK model (criterion) and, 2) two IK models; one with (IK) and one without (IK) participant-specific joint co-ordinates prescribed during the marker registration phase of model preparation in OpenSim. Time-varying kinematic analyses were performed using one dimensional (1D) statistical parametric mapping (α=0.05), where zero dimensional (0D) Root Mean Squared Error (RMSE) estimates were calculated and used as a surrogate effect size estimates.
Statistical differences were observed between the IK and DK derived kinematics as well as the IK and DK derived kinematics. For the IK and DK models, mean kinematic differences over stance for the three dimensional (3D) hip joint, 3D knee joint and ankle flexion/extension (F/E) degrees of freedom (DoF) were 46±40% (RMSE=5±5°), 56±31% (RMSE=7±4°) and 3% (RMSE=2°) respectively. For the IK and DK models, mean kinematics differences over stance for the 3D hip joint, 3D knee joint and ankle F/E DoF were 70±53% (RMSE=14±11°), 46±48% (RMSE=8±7°) and 100% (RMSE=11°) respectively.
Prescribing participant-specific joint co-ordinates during model preparation improves the agreement of IK derived lower limb UnSS kinematics in OpenSim with an established DK model, as well as previously published in-vivo knee kinematic estimates.
研究在 OpenSim 中准备模型时指定参与者特定关节坐标如何影响逆运动学 (IK) 得出的非计划性侧身移动 (UnSS) 下肢运动学的测量一致性，与已建立的直接运动学 (DK) 模型相比。
平行形式重复性。
使用以下两种方法计算 20 名精英女性运动员的下肢 UnSS 运动学：1) 已建立的 DK 模型（标准）和 2) 两种 IK 模型；一种具有（IK），另一种在 OpenSim 模型准备的标记注册阶段不指定参与者特定关节坐标。使用一维 (1D) 统计参数映射 (α=0.05) 进行时变运动学分析，计算零维 (0D) 均方根误差 (RMSE) 估计值，并用作替代效应量估计值。
在 IK 和 DK 推导的运动学以及 IK 和 DK 推导的运动学之间观察到统计差异。对于 IK 和 DK 模型，在整个站立阶段，三个维度 (3D) 髋关节、3D 膝关节和踝关节屈曲/伸展 (F/E) 自由度 (DoF) 的平均运动学差异分别为 46±40%（RMSE=5±5°）、56±31%（RMSE=7±4°）和 3%（RMSE=2°）。对于 IK 和 DK 模型，在整个站立阶段，3D 髋关节、3D 膝关节和踝关节 F/E DoF 的平均运动学差异分别为 70±53%（RMSE=14±11°）、46±48%（RMSE=8±7°）和 100%（RMSE=11°）。
在模型准备过程中指定参与者特定关节坐标可提高 OpenSim 中 IK 得出的下肢 UnSS 运动学与已建立的 DK 模型以及之前发表的体内膝关节运动学估计的一致性。
