首页> 外文会议>2012 4th IEEE RAS amp; EMBS International Conference on Biomedical Robotics and Biomechatronics >Evaluating motor performance after stroke with a custom MR-conditional upper extremity reach and grasp system
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Evaluating motor performance after stroke with a custom MR-conditional upper extremity reach and grasp system

机译:使用自定义MR条件的上肢伸直和抓握系统评估中风后的运动表现

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We developed an MR conditional upper extremity reach and grasp movement evaluation (UE R/G) system to evaluate the reach and grasp movements of stroke survivors before and after robot-assisted practice of activities of daily living. This paper describes reaching motor performance of 12 low and high functioning stroke survivors using UE R/G with some comparison made to reach-to-grasp task. A model is presented that correlates recovery level measured with standard clinical assessment tools with kinematic measures of motor performance derived from analyzing movement trajectories captured by the UE R/G system. We examined one subject's movements measured by the UE R/G system inside and outside a 3.0 Tesla Magnetic Scanning environment and saw high correlations. The results demonstrate the utility of the MR-conditional UE R/G system to be multi-purpose tool for measurement of motor performance during fMRI activities. This should allow better correlation to any brain activation changes seen during the performance of these tasks.
机译:我们开发了MR有条件的上肢伸直和抓握运动评估(UE R / G)系统,以评估机器人辅助日常生活活动前后卒中幸存者的伸直和抓握运动。本文介绍了使用UE R / G达到的12位低功能和高功能卒中幸存者的运动能力,并与“达到抓取”任务进行了一些比较。提出了一个模型,该模型将使用标准临床评估工具测得的恢复水平与通过分析UE R / G系统捕获的运动轨迹得出的运动表现的运动学测量相关联。我们检查了由UE R / G系统在3.0特斯拉电磁扫描环境内部和外部测量的一个对象的运动,并发现高度相关。结果表明,有条件的MR条件UE R / G系统可作为多功能工具,用于测量fMRI活动期间的运动表现。这应该可以更好地与执行这些任务期间看到的任何大脑激活变化相关。

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