Phase-lead iterative learning control algorithms for functional electrical stimulation-based stroke rehabilitation
Phase-lead iterative learning control algorithms for functional electrical stimulation-based stroke rehabilitation
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DOI：
10.1177/0959651811408976
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发表时间：
2011-09-01
影响因子：
1.6
通讯作者：
Burridge, J. H.
中科院分区：
文献类型：
--
作者：
Freeman, C. T.;Tong, D.;Burridge, J. H.
开发了一种用于中风康复的控制系统，其将电刺激与机器人支撑系统相结合，以向在虚拟现实环境中执行三维上肢到达任务的中风患者提供帮助。使用迭代学习控制方案将电刺激施加到受试者手臂中的两块肌肉，该迭代学习控制方案从任务的先前试验中收集的数据中学习，以便实现准确的运动。文中介绍了该系统的主要组成部分，实验结果证实了其应用于上肢脑卒中康复的可行性。
A control system for stroke rehabilitation is developed which combines electrical stimulation with a robotic support system to provide assistance to stroke patients performing three-dimensional upper-limb reaching tasks in a virtual reality environment. The electrical stimulation is applied to two muscles in the subject's arm using an iterative learning control scheme which learns from data collected over previous trials of the task in order to achieve accurate movement. The principal components of the system are described and experimental results confirm its feasibility for application to upper-limb stroke rehabilitation.