Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
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DOI：
10.3791/57228
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发表时间：
2018-03-01
影响因子：
1.2
通讯作者：
Sunnerhagen, Katharina Stibrant
中科院分区：
文献类型：
--
作者：
Alt Murphy, Margit;Murphy, Steve;Sunnerhagen, Katharina Stibrant
运动学分析是在三维（3D）空间中客观评估上肢运动的有力方法。利用光电摄像机系统进行三维运动捕捉被认为是运动学运动分析的金标准，并且越来越多地被用作评估涉及上肢运动的损伤或疾病后的运动性能和质量的结果测量。本文描述了一种适用于中风后上肢损伤个体的饮酒任务运动学分析的标准化方案。饮酒任务包括从桌子上伸手、抓住并举起杯子喝一杯，把杯子放回去，然后把手移回桌子的边缘。坐姿是标准化的个人的身体大小和任务是在一个舒适的自定步调的速度和补偿运动不受约束。其目的是保持任务的自然和接近现实生活中的情况，以提高生态有效性的协议。使用5相机运动捕捉系统从位于手臂、躯干和面部的解剖标志上的9个回射标记收集3D坐标位置。使用简单的单个标记放置来确保方案在临床环境中的可行性。定制的Matlab软件可自动快速分析运动数据。时间运动学的运动时间，速度，峰值速度，峰值速度的时间，和平滑度（运动单元数）沿着与空间角运动学的肩关节和肘关节以及躯干运动计算。饮酒任务是对中度和轻度上肢损伤个体的有效评估。已经建立了从饮酒任务中获得的运动学变量的构造、区分和并行有效性沿着与响应性（对变化的敏感性）。
Kinematic analysis is a powerful method for objective assessment of upper extremity movements in a three-dimensional (3D) space. Three-dimensional motion capture with an optoelectronic camera system is considered as golden standard for kinematic movement analysis and is increasingly used as outcome measure to evaluate the movement performance and quality after an injury or disease involving upper extremity movements. This article describes a standardized protocol for kinematic analysis of drinking task applied in individuals with upper extremity impairments after stroke. The drinking task incorporates reaching, grasping and lifting a cup from a table to take a drink, placing the cup back, and moving the hand back to the edge of the table. The sitting position is standardized to the individual's body size and the task is performed in a comfortable self-paced speed and compensatory movements are not constrained. The intention is to keep the task natural and close to a real-life situation to improve the ecological validity of the protocol. A 5-camera motion capture system is used to gather 3D coordinate positions from 9 retroreflective markers positioned on anatomical landmarks of the arm, trunk, and face. A simple single marker placement is used to ensure the feasibility of the protocol in clinical settings. Custom-made Matlab software provides automated and fast analyses of movement data. Temporal kinematics of movement time, velocity, peak velocity, time of peak velocity, and smoothness (number of movement units) along with spatial angular kinematics of shoulder and elbow joint as well as trunk movements are calculated. The drinking task is a valid assessment for individuals with moderate and mild upper extremity impairment. The construct, discriminative and concurrent validity along with responsiveness (sensitivity to change) of the kinematic variables obtained from the drinking task have been established.