Wearable soft robotic device for post-stroke shoulder rehabilitation: Identifying misalignments

I. Galiana, Frank L. Hammond, R. Howe, Marko B. Popovic
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引用次数: 108

Abstract

Stroke is the leading cause of long-term disability in the United States, affecting over 795,000 people annually. In order to regain motor function of the upper body, patients are usually treated by regular sessions with a dedicated physical therapist. A cost-effective wearable upper body orthotics system that can be used at home to empower both the patients and physical therapists is described. The system is composed of a thin, compliant, lightweight, cost-effective soft orthotic device with an integrated cable actuation system that is worn over the upper body, an embedded limb position sensing system, an electric actuator package and controller. The proposed device is robust to misalignments that may occur during actuation of the compliant brace or when putting on the system. Through simulations and experimental evaluation, it was demonstrated i) that the soft orthotic cable-driven shoulder brace can be successfully actuated without the production of off-axis torques in the presence of misalignments and ii) that the proposed model can identify linear and angular misalignments online.
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用于中风后肩部康复的可穿戴软机器人设备:识别错位
中风是美国长期残疾的主要原因,每年影响超过79.5万人。为了恢复上半身的运动功能,患者通常会定期接受专门的物理治疗师的治疗。描述了一种具有成本效益的可穿戴上半身矫形器系统,该系统可以在家中使用,以增强患者和物理治疗师的能力。该系统由一个薄的、柔顺的、轻量级的、具有成本效益的软性矫形器组成,该矫形器带有一个穿戴在上半身的集成电缆驱动系统、一个嵌入式肢体位置传感系统、一个电动执行器包和控制器。所建议的设备对在驱动顺应支架或穿上系统时可能发生的错位具有鲁棒性。通过仿真和实验评估,证明了i)软矫形索驱动肩支撑可以在不产生离轴力矩的情况下成功驱动,ii)所提出的模型可以在线识别线性和角度偏差。
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