Adaptive Neural Network Control of FES Cycling

摘要：

FES cycling is a safe and easy way for the rehabil-itationof spinal cord injury (SCI) patients. In order to designan control system for FES cycling, this paper presents a controlstrategy of the cycling induced by FES. The control system isdeveloped based on artificial neural networks and consists of twolayers: the outer layer controls the FES cycling model dynamicsand generates desired torque; the inner layer controls multi-muscleto generate the torque that tracks the desired torque. And the distribution of multi-channel FES stimulation intensities isoptimized based on the energy and muscle fatigue minimizationprinciples. The simulation results show that the control systemdesigned in this paper is stable and robust to muscle fatigue.Finally, some remarks are given on the clinical experiments ofthis control strategy.

作者: Peng-Feng Li Zeng-Guang Hou Feng Zhang Yi-Xiong Chen Xiao-Liang Xie Min Tan Hong-Bo Wang

作者单位: Key Laboratory of Complex Systems and Intelligence Science Institute of Automation, Chinese Academy of Sciences P.O.Box 2728, Beijing 100190, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）