用于中风后专注于adl的机器人辅助治疗的抓握辅助手套的设计

D. Nathan, M. Johnson
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引用次数: 10

摘要

伸手去抓是我们日常生活中必不可少的过程。中风患者在这种能力方面存在严重缺陷,导致日常生活活动(ADL)、就业和社交活动受损。机器人辅助治疗是中风康复的前沿,然而并不是很多系统支持使用真实世界物体的功能目标导向治疗。我们有兴趣为我们专注于adl的机器人治疗环境设计一个抓取辅助组件。本文报道了该手套的研制和静态验证研究,以确定该手套在测量拇指和食指关节角度和抓握孔径(指间距离)时的准确性和可重复性。我们的结果显示手套和手持式测角仪在测量关节角度和导出的抓握孔径方面没有显著差异。结果表明,该手套具有可重复性,具有在功能任务中测量体内抓握孔径的潜力。我们的下一步是完成一个动态验证研究,并将手套与我们的机器人环境集成。
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Design of a Grasp Assistive Glove for ADL-focused, Robotic Assisted Therapy after Stroke
Reaching to grasp is an essential process in our everyday lives. Individual who suffer a stroke experience major deficits in this ability leading to compromised activities of daily living (ADL), employment, and social interaction. Robotic aided therapy is at the forefront of stroke rehabilitation, however not many systems support functional goal oriented therapy using real world objects. We are interested in designing a grasp assistive component for our ADL-focused robotic therapy environment. This paper reports on the glove development and a static validation study to determine the accuracy and repeatability of the glove in the measurement of joint angles of the thumb and index fingers and grasp aperture, which is the distance between the fingers. Our results showed no significant differences between the glove and a hand-held goniometer for the measured joint angles and the derived grasp aperture. The results suggest that the glove is repeatable and has the potential to measure in vivo grasp aperture during a functional tasks. Our next steps are to complete a dynamic validation study and integrate the glove with our robotic environment.
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