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Upper-limb stroke rehabilitation using electrode-array based functional electrical stimulation with sensing and control innovations

机译:使用基于电极阵列的功能电气刺激的高肢冲程康复,具有感应和控制创新

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Functional electrical stimulation (FES) has shown effectiveness in restoring upper-limb movement post stroke when applied to assist participants' voluntary intention during repeated, motivating tasks. Recent clinical trials have used advanced controllers that precisely adjust FES to assist functional reach and grasp tasks with FES applied to three muscle groups, showing significant reduction in impairment. The system reported in this paper advances the state-of-the-art by: (1) integrating an FES electrode array on the forearm to assist complex hand and wrist gestures; (2) utilising non-contact depth cameras to accurately record the arm, hand and wrist position in 3D; and (3) employing an interactive touch table to present motivating virtual reality (VR) tasks. The system also uses iterative learning control (ILC), a model-based control strategy which adjusts the applied FES based on the tracking error recorded on previous task attempts. Feasibility of the system has been evaluated in experimental trials with 2 unimpaired participants and clinical trials with 4 hemiparetic, chronic stroke participants. The stroke participants attended 17, 1 hour training sessions in which they performed functional tasks, such as button pressing using the touch table and closing a drawer. Stroke participant results show that the joint angle error norm reduced by an average of 50.3% over 6 attempts at each task when assisted by FES. (C) 2016 The Authors. Published by Elsevier Ltd on behalf of IPEM.
机译:功能电刺激(FES)在施加期间恢复上肢运动后行程的有效性,以帮助参与者在重复,激励任务期间辅助参与者的自愿意图。最近的临床试验使用了先进的控制器,精确调整FES,以协助功能触控,并掌握应用于三个肌肉群的FE,显示出损伤的显着降低。本文报道的系统通过以下方式推进:(1)将FES电极阵列集成在前臂上以辅助复杂的手和手势; (2)利用非接触深度相机,准确地记录3D中的手臂,手柄和腕部位置; (3)采用交互式触摸表呈现激励虚拟现实(VR)任务。该系统还使用迭代学习控制(ILC),一种基于模型的控制策略,该策略根据在先前任务尝试上记录的跟踪错误来调整所应用的FES。系统的可行性已经在实验试验中评估了2个未受害的参与者和4种血六种慢性中风参与者的临床试验。笔划参与者参加了17,1小时训练会话,其中他们执行了功能任务,例如使用触摸桌按钮并关闭抽屉。笔划参与者结果表明,当FES辅助时,关节角度误差规范平均减少了50.3%以上超过6次尝试。 (c)2016年作者。 elsevier有限公司代表IPEM发布。

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