Rehabilitation Training System Based on Brain Computer Interface

Authors

Banghua Yang, 1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200444, China;;2. Key Laboratory of Power Station Automation Technology, Shanghai 200444, China;
Li Bo, 1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200444, China;;

Abstract

Abstract: Brain-computer interface (BCI) is a new communication and control method. The BCI rehabilitation training system was developed for rehabilitation training of post-stroke patients by using MATLAB and VC++ hybrid programming method. By decoding the EEG signal, the patient's movement intention can be recognized accurately in real time, then the work of the rehabilitation peripheral is triggered to give feedback from the visual, auditory, and tactile. The patient's active rehabilitation is achieved through the system. The system has the characteristics of user-friendly interface, modular algorithm, high online recognition rate; and it can be used as a reference for BCI-based application development.

Recommended Citation

Yang, Banghua and Bo, Li (2019) "Rehabilitation Training System Based on Brain Computer Interface," Journal of System Simulation: Vol. 31: Iss. 2, Article 2.
DOI: 10.16182/j.issn1004731x.joss.18-0791
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss2/2

First Page

174

Revised Date

2018-11-26

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.18-0791

Last Page

180

CLC

TP391.9

Recommended Citation

Yang Banghua, Li Bo. Rehabilitation Training System Based on Brain Computer Interface[J]. Journal of System Simulation, 2019, 31(2): 174-180.

DOI

10.16182/j.issn1004731x.joss.18-0791