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Design of a Grasp Assistive Glove for ADL-focused, Robotic Assisted Therapy after Stroke

机译:掌握辅助辅助手套的设计,用于卒中后的ADL,机器人辅助治疗

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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.
机译:到达掌握是我们日常生活中的重要过程。在这种能力中遭受中风经历的个人,导致日常生活(ADL),就业和社会互动的活动受到损害。机器人辅助疗法处于中风康复的最前沿,但是没有许多系统支持使用现实世界对象的功能目标导向治疗。我们有兴趣为其侧重于ADL的机器人治疗环境设计掌握辅助组件。本文报告了手套开发和静态验证研究,以确定拇指和索引手指的关节角度的手套的准确性和可重复性,并掌握孔径,这是手指之间的距离。我们的结果表明,用于测量的关节角度和衍生的抓握孔之间的手套和手持式测筒仪之间没有显着差异。结果表明手套是可重复的,并且在功能任务期间具有体内掌握孔径的可能性。我们的下一步是完成动态验证研究并将手套与机器人环境集成。

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