首页> 外文期刊>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:上肢康复机器人由PAM供电,配合FES阵列以实现覆盖到掌握培训

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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 subjects 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:到达的活动在日常生活中发挥着重要作用。臂屈肌高刚度的中风患者的发达的Rupert是一种低成本的轻质便携式外骨骼康复机器人,其关节通过气动人工肌肉(PAM)单向驱动。为了扩大鲁珀特的有用范围,特别是对于尿布瘫痪的患者,采用功能性电刺激(FES)激活瘫痪的臂肌。由于PAM和FES下的神经肌肉骨架系统驱动的外骨骼机器人都具有高度非线性和时变特性,研究了迭代学习控制(ILC),并采取了控制这种新设计的混合康复系统,以便到达培训。手功能康复是指抓握。由于FES阵列电极和矩阵扫描方法实现了微小的手指肌肉,抓握和释放实现。通过使用表面肌电图(EMG)技术,鉴定了受试者主动意图。由PAM供电的上肢康复机器人与FES阵列配合以实现通过实验验证的主动伸缩牵引培训。

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