Department of Rehabilitation Sciences, KU Leuven Bruges, Bruges, Belgium; Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Department of Biosystems, Division of Animal and Human Health Engineering, Measure, Model and Manage Bioresponse (M3-BIORES), KU Leuven, Leuven, Belgium.
J Biomech. 2024 Aug;173:112233. doi: 10.1016/j.jbiomech.2024.112233. Epub 2024 Jul 17.
This study aimed to evaluate clinical utility of 2D-markerless motion analysis (2DMMA) from a single camera during a reaching-sideways-task in individuals with dyskinetic cerebral palsy (DCP) by determining (1) concurrent validity by correlating 2DMMA against marker-based 3D-motion analysis (3DMA) and (2) construct validity by assessing differences in 2DMMA features between DCP and typically developing (TD) peers. 2DMMA key points were tracked from frontal videos of a single camera by DeepLabCut and accuracy was assessed against human labelling. Shoulder, elbow and wrist angles were calculated from 2DMMA and 3DMA (as gold standard) and correlated to assess concurrent validity. Additionally, execution time and variability features such as mean point-wise standard deviation of the angular trajectories (i.e. shoulder elevation, elbow and wrist flexion/extension) and wrist trajectory deviation by mean overshoot and convex hull were calculated from key points. 2DMMA features were compared between the DCP group and TD peers to assess construct validity. Fifty-one individuals (30 DCP;21 TD; age:5-24 years) participated. An accuracy of approximately 1.5 cm was reached for key point tracking. While significant correlations were found for wrist (ρ = 0.810;p < 0.001) and elbow angles (ρ = 0.483;p < 0.001), 2DMMA shoulder angles were not correlated (ρ = 0.247;p = 0.102) to 3DMA. Wrist and elbow angles, execution time and variability features all differed between groups (Effect sizes 0.35-0.81;p < 0.05). Videos of a reaching-sideways-task processed by 2DMMA to assess upper extremity movements in DCP showed promising validity. The method is especially valuable to assess movement variability.
本研究旨在通过以下两种方式评估使用单目相机进行的二维无标记运动分析(2DMMA)在运动障碍型脑瘫(DCP)患者侧身伸手任务中的临床实用性:(1)通过与基于标记的三维运动分析(3DMA)进行相关分析,确定 2DMMA 的同时效度;(2)通过评估 DCP 与典型发育(TD)同龄人之间 2DMMA 特征的差异,评估构念效度。DeepLabCut 从单目相机的正面视频中跟踪 2DMMA 的关键点,并通过人工标记评估其准确性。从 2DMMA 和 3DMA(作为金标准)计算肩、肘和腕关节角度,并进行相关分析以评估同时效度。此外,从关键点计算执行时间和变异性特征,例如角轨迹的平均逐点标准差(即肩抬高、肘和腕弯曲/伸展)和手腕轨迹偏差的平均超过量和凸包。从 DCP 组和 TD 同龄人比较 2DMMA 特征,以评估构念效度。共有 51 名参与者(30 名 DCP;21 名 TD;年龄:5-24 岁)参与。关键点跟踪的精度达到约 1.5cm。虽然腕关节(ρ=0.810;p<0.001)和肘关节角度(ρ=0.483;p<0.001)存在显著相关性,但 2DMMA 肩角度与 3DMA 不相关(ρ=0.247;p=0.102)。腕关节和肘关节角度、执行时间和变异性特征在两组之间均存在差异(效应大小 0.35-0.81;p<0.05)。使用 2DMMA 处理侧身伸手任务的视频来评估 DCP 患者的上肢运动,显示出有前景的有效性。该方法特别适用于评估运动变异性。