Movement recognition and preference in home-based robot-assisted stroke rehabilitation
Movement recognition and preference in home-based robot-assisted stroke rehabilitation
复制标题
家庭机器人辅助中风康复中的运动识别和偏好
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
F. Amirabdollahian
中科院分区：
文献类型：
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作者：
A. Basteris;F. Amirabdollahian
机器人可以成为中风患者康复的有效工具。此外，家庭机器人康复可以降低成本并改善治疗效果。我们在 SCRIPT（涉及个人远程机器人的监督护理和康复）项目中研究了这样的背景。我们设计了一个系统，由辅助和测量手部和手腕运动的可穿戴被动矫形器、个人电脑以及励志和互动游戏组成。在本文中，我们重点关注用于玩互动游戏的动作的定义。我们考虑了在 20 名慢性中风受试者身上测试我们的方法的结果，这些受试者完成了为期六周的临床试验，并调查了他们对某些运动的偏好。我们的结果显示，损伤程度较低的受试者倾向于训练手部动作，而损伤程度较高的受试者则倾向于训练手腕动作。
Robots can be effective tools for rehabilitation of subjects with stroke. Furthermore, home-based robotic rehabilitation could reduce the costs and improve the therapy outcome. We worked on such a context within the SCRIPT (Supervised Care and Rehabilitation Involving Personal Telerobotics) project. We designed a system composed of a wearable passive orthosis which assists and measures hand and wrist movements, a personal computer and motivational and interactive games. In this paper, we focused on the definition of the movements which are used to play the interactive games. We considered the results of testing our methods on 20 subjects with chronic stroke who completed a six weeks clinical trial and investigated their preference of certain movements. Our results show a tendency to train hand movements among subjects with lower impairment and wrist movements for more impaired participants.