首页> 美国卫生研究院文献>Journal of Healthcare Engineering >Upper Limb Rehabilitation Robot Powered by PAMs Cooperates with FES Arrays to Realize Reach-to-Grasp Trainings
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Upper Limb Rehabilitation Robot Powered by PAMs Cooperates with FES Arrays to Realize Reach-to-Grasp Trainings

机译:由PAM提供动力的上肢康复机器人与FES阵列配合使用实现了抓握式培训

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摘要

The reach-to-grasp activities play an important role in our daily lives. The developed RUPERT for stroke patients with high stiffness in arm flexor muscles is a low-cost lightweight portable exoskeleton rehabilitation robot whose joints are unidirectionally actuated by pneumatic artificial muscles (PAMs). In order to expand the useful range of RUPERT especially for patients with flaccid paralysis, functional electrical stimulation (FES) is taken to activate paralyzed arm muscles. As both the exoskeleton robot driven by PAMs and the neuromuscular skeletal system under FES possess the highly nonlinear and time-varying characteristics, iterative learning control (ILC) is studied and is taken to control this newly designed hybrid rehabilitation system for reaching trainings. Hand function rehabilitation refers to grasping. Because of tiny finger muscles, grasping and releasing are realized by FES array electrodes and matrix scan method. By using the surface electromyography (EMG) technique, the subject's active intent is identified. The upper limb rehabilitation robot powered by PAMs cooperates with FES arrays to realize active reach-to-grasp trainings, which was verified through experiments.
机译:触手可及的活动在我们的日常生活中起着重要作用。针对手臂屈肌高硬度的卒中患者开发的RUPERT是一款低成本的轻型便携式外骨骼康复机器人,其关节由气动人造肌肉(PAM)单向驱动。为了扩大RUPERT的适用范围,尤其是对于松弛性瘫痪患者,采取功能性电刺激(FES)激活瘫痪的手臂肌肉。由于PAM驱动的外骨骼机器人和FES下的神经肌肉骨骼系统都具有高度的非线性和时变特性,因此对迭代学习控制(ILC)进行了研究,并对其进行控制,以控制这种新设计的混合康复系统进行训练。手功能康复是指抓紧。由于手指肌肉很小,因此可以通过FES阵列电极和矩阵扫描方法来实现抓握和释放。通过使用表面肌电图(EMG)技术,可以确定受试者的主动意图。由PAM提供动力的上肢康复机器人与FES阵列配合使用,以实现主动的抓握式培训,并通过实验进行了验证。

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