A Hybrid FES Rehabilitation System Based on CPG and BCI Technology for Locomotion: A Preliminary Study

Authors:
Dingguo Zhang;Guangquan Liu;Gan Huan;Jianrong Liu;Xiangyang Zhu
Affiliations:
Institute of Robotics, School of Mechanical Engineering,;Institute of Robotics, School of Mechanical Engineering,;Institute of Robotics, School of Mechanical Engineering,;Institute of Neurology, Ruijin Hospital Shanghai Jiao Tong University, China;Institute of Robotics, School of Mechanical Engineering,
Venue:
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Year:
2009

Citing 5
Cited 0

Modeling biological motor control for human locomotion with functional electrical stimulation

Biological Cybernetics
EEG-based asynchronous BCI controls functional electrical stimulation in a tetraplegic patient

EURASIP Journal on Applied Signal Processing
Functional electrical stimulation in rehabilitation engineering: a survey

Proceedings of the 1st international convention on Rehabilitation engineering & assistive technology: in conjunction with 1st Tan Tock Seng Hospital Neurorehabilitation Meeting
2008 Special Issue: Central pattern generators for locomotion control in animals and robots: A review

Neural Networks
Which model to use for cortical spiking neurons?

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

A hybrid functional electrical stimulation (FES) rehabilitation system for locomotion is proposed in this paper. It has a hierarchical structure. In upper level, brain-computer technology (BCI) is used to acquire the subject's intention. In middle level, central pattern generator (CPG) is designed to generate appropriate rhythmic motor patterns. CPG is triggered by BCI command, and send control patterns to lower level. In lower level, FES technique is used to activate the muscles, and drive the lower limbs to achieve the expected movements (i.e. locomotion). The whole system is developed according to the general nervous structure of human being. The hybrid system aims at developing a neuroprosthetic bridge for the impaired nervous system of paralyzed patients. Some preliminary results on BCI are given.