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Brain-computer interface technique for electro-acupuncture stimulation control

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8 Author(s)
Dong Ming ; Dept. of Biomed. Eng., Tianjin Univ., Tianjin, China ; Yanru Bai ; Xiuyun Liu ; Xingwei An
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Electro-acupuncture stimulation (EAS) technique applies the electrical nerve stimulation therapy on traditional acupuncture points to restore the muscle tension. The rapid rise and development of brain-computer interface (BCI) technology makes the thought-control of EAS possible. This paper designed a new BCI-controls-EAS (BCICEAS) system by using event related desynchronization (ERD) of EEG signal evoked by imaginary movement. The Fisher parameters were extracted from feature frequency bands of EEG and classified into EAS control commands by Mahalanobis Classifier. A feedback training technique was introduced to enhance the signal feature through a visual feedback interface with a virtual liquid column, which height varied along with EEG power spectral feature. Experimental results demonstrated the validity of the proposed method, including the effective improvement of feedback training on signal feature and reliable control of EAS. It is hoped the BCICEAS can explore a new way for EAS system design and help people who sufferers with severe movement dysfunction.

Published in:

Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2010 IEEE International Conference on

Date of Conference:

6-8 Sept. 2010