Design of intelligent rehabilitation system based on Brain-Computer Interface

Peng Zhou, Cao Hong-bao, Yi Xiong, GE Jia-yi, Shuang Zhang, Ming‐Shi Wang

Computer Engineering and Applications Journal · 2007 · 10 citations · 0 references

Concepts

Abstract

In order to assist motor rehabilitation of patient with tetraplegia caused by Spinal Cord Injury(SCI),the method of combination Brain-Computer Interface(BCI) with Functional Electrical Stimulation(FES) is proposed and the intelligent rehabilitation system is designed,which can help the patient control their paralyzed extremity by thought.The system can bypass the injured spinal cord in the body,and transmit the motor intention to FES instrument directly through external channel.Then the FES instrument stimulates the corresponding muscles to assisting patient performing the movement.The key technologies are introduced,which consist of the architecture of the system,the design of BCI experiment,the algorithms of feature extraction and classification,and the design of FES instrument.The preparatory experiments show that this rehabilitation-assisting system can comprehend the patient’s motor intention by the accurate rate above 95% and restore the hand grasp function by FES device,which reveals great value in clinical rehabilitation.