Paper Info
Title
Brain-computer interface technique for electro-acupuncture stimulation control.
Abstract
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. © 2010 IEEE.
Year
DOI
Venue
2010
10.1109/VECIMS.2010.5609342
VECIMS
Keywords
Field
DocType
brain-computer interface,electro-acupuncture stimulation,event related desynchronization,imaginary movement,mahalanobis classifier,signal processing,brain computer interfaces,electroencephalography,feature extraction,pattern recognition,synchronisation,system design,brain computer interface,time frequency analysis
Signal processing,Computer vision,Synchronization,Computer science,Brain–computer interface,Mahalanobis distance,Feature extraction,Artificial intelligence,Time–frequency analysis,Classifier (linguistics),Electroencephalography
Conference
Volume
Issue
Citations 
null
null
0
PageRank 
References 
Authors
0.34
1
8
Name
Order
Citations
PageRank
Dong Ming110551.47
Yanru Bai262.49
Xiuyun Liu331.64
Xingwei An42111.88
Hongzhi Qi54920.61
Baikun Wan610416.90
Yong Hu719738.46
Keith Dip-Kei Luk843.64