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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性电刺激进行上肢中风康复,并具有传感和控制创新

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摘要

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.
机译:功能性电刺激(FES)在重复性,刺激性任务中用于协助参与者的自愿意图时,在恢复卒中后上肢运动方面显示出有效的作用。最近的临床试验使用了先进的控制器,这些控制器可以精确调整FES,以将功能FES应用于三个肌肉组,从而辅助功能范围和把握任务,从而显着减少损伤。本文报道的系统通过以下方面改进了现有技术:(1)在前臂上集成FES电极阵列,以协助复杂的手和腕手势; (2)利用非接触式深度相机以3D方式准确记录手臂,手部和手腕的位置; (3)采用交互式触摸台来呈现激励性虚拟现实(VR)任务。该系统还使用了迭代学习控制(ILC),它是一种基于模型的控制策略,可基于先前任务尝试中记录的跟踪误差来调整所应用的FES。该系统的可行性已经在2名无障碍参与者的实验试验和4名偏瘫,慢性卒中参与者的临床试验中进行了评估。中风参与者参加了17个1小时的培训课程,他们在其中执行了一些功能性任务,例如使用触摸台按下按钮和合上抽屉。中风参与者的结果表明,在FES的辅助下,每次完成6次尝试后,关节角度误差范数平均减少50.3%。

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