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使用新型机器人界面研究手指运动控制。

Use of a novel robotic interface to study finger motor control.

机构信息

Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.

出版信息

Ann Biomed Eng. 2010 Feb;38(2):259-68. doi: 10.1007/s10439-009-9845-4. Epub 2009 Nov 25.

Abstract

Stroke is the leading cause of permanent adult disability in the U.S., frequently resulting in chronic motor impairments. Rehabilitation of the upper limb, particularly the hand, is especially important as arm and hand deficits post-stroke limit the performance of activities of daily living and, subsequently, functional independence. Hand rehabilitation is challenging due to the complexity of motor control of the hand. New instrumentation is needed to facilitate examination of the hand. Thus, a novel actuated exoskeleton for the index finger, the FingerBot, was developed to permit the study of finger kinetics and kinematics under a variety of conditions. Two such novel environments, one applying a spring-like extension torque proportional to angular displacement at each finger joint and another applying a constant extension torque at each joint, were compared in 10 stroke survivors with the FingerBot. Subjects attempted to reach targets located throughout the finger workspace. The constant extension torque assistance resulted in a greater workspace area (p < 0.02) and a larger active range of motion for the metacarpophalangeal joint (p < 0.01) than the spring-like assistance. Additionally, accuracy in terms of reaching the target was greater with the constant extension assistance as compared to no assistance. The FingerBot can be a valuable tool in assessing various hand rehabilitation paradigms following stroke.

摘要

中风是美国成年人永久性残疾的主要原因,经常导致慢性运动障碍。上肢,特别是手部的康复尤其重要,因为中风后的手臂和手部缺陷限制了日常生活活动的完成,并随后限制了功能独立性。手部康复具有挑战性,因为手部运动控制非常复杂。需要新的仪器设备来方便对手部的检查。因此,开发了一种新型的索引指动式外骨骼机器人 FingerBot,以允许在各种条件下研究手指的运动学和运动学。在 10 名中风幸存者中,将这两种新型环境(一种施加与每个手指关节的角位移成比例的弹簧状伸展扭矩,另一种在每个关节施加恒定的伸展扭矩)与 FingerBot 进行了比较。受试者试图到达手指工作空间中的各个目标。与弹簧状辅助相比,恒延伸辅助可使工作空间区域更大(p < 0.02),并且掌指关节的主动运动范围更大(p < 0.01)。此外,与无辅助相比,恒延伸辅助在到达目标方面的准确性更高。FingerBot 可以成为评估中风后各种手部康复范例的有价值的工具。

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