Department of Rehabilitation Sciences, Faculty of Kinesiology and Rehabilitation Sciences, Katholieke Universiteit Leuven, Belgium.
Gait Posture. 2011 Jun;34(2):227-33. doi: 10.1016/j.gaitpost.2011.05.003.
Although three-dimensional movement analysis is being increasingly used to evaluate upper limb (UL) movements, information on how to interpret the complex data is still missing. This paper introduces a new summary index, the "Arm Profile Score" (APS), to evaluate the severity of UL movement pathology based on kinematic data, similar to the "Gait Profile Score". The APS is calculated from the root mean square (RMS) difference between kinematic data of the individual child with UL movement deficits and average data from typically developing children. The APS can be decomposed into 13 Arm Variable Scores (AVS), representing the different joint angles. The APS, together with the AVSs form the "Arm Movement Analysis Profile" (A-MAP). Face and construct validity were established for eight UL tasks in a group of 20 children with hemiplegic cerebral palsy (HCP). Intra-session variability was low for the different tasks, with median inter-quartile ranges below 2°. Correlation analysis showed few significant correlations between the individual AVSs and between the AVS and APS, implying that the A-MAP provides considerably more information compared to the APS only. The APS also showed good correlations with the House classification, and with measures of muscle tone, manual muscle strength and grip strength. This study provides a sound base to use the APS to evaluate UL movement pathology in children with HCP. Further study will need to confirm its value as an outcome measurement.
虽然三维运动分析越来越多地用于评估上肢（UL）运动，但如何解释复杂的数据仍然缺乏信息。本文介绍了一种新的总结指标，即“手臂轮廓评分（APS）”，该指标基于运动学数据评估 UL 运动病理学的严重程度，类似于“步态轮廓评分”。APS 是通过个体儿童 UL 运动缺陷的运动学数据与典型发育儿童的平均数据之间的均方根（RMS）差异计算得出的。APS 可以分解为 13 个手臂变量评分（AVS），代表不同的关节角度。APS 和 AVS 共同构成了“手臂运动分析图谱”（A-MAP）。在一组 20 名偏瘫脑瘫（HCP）儿童的 8 项 UL 任务中，建立了 A-MAP 的表面效度和结构效度。对于不同的任务，内部分组变异较小，中位数四分位间距低于 2°。相关性分析显示，个别 AVS 之间以及 AVS 与 APS 之间的相关性很小，这意味着 A-MAP 提供的信息明显多于 APS。APS 还与 House 分类以及肌肉张力、手动肌肉力量和握力测量值具有良好的相关性。本研究为使用 APS 评估 HCP 儿童的 UL 运动病理学提供了可靠的基础。还需要进一步的研究来确认其作为结果测量的价值。
