NDLI: Pattern Recognition of EEG Signals During Motor Imagery

Content Provider	IEEE Xplore Digital Library
Author	Nagata, K. Mihara, M. Yamagutchi, T. Taniguchi, M. Inoue, K. Pfurtscheller, G. Kumamarul, K.
Copyright Year	2006
Description	Author affiliation: Dept. of Syst. Innovation & Informatics, Kyushu Inst. of Technol., Fukuoka (Nagata, K.; Mihara, M.; Yamagutchi, T.; Taniguchi, M.; Inoue, K.)
Abstract	Electroencephalograph (EEG) recordings during the right and the left hand motor imagery can be used to move a cursor to a target on a computer screen. Such an EEG-based brain-computer interface (BCI) can provide a new communication channel to replace an impaired motor function. It can be used by e.g., handicap users with amyotrophic lateral sclerosis (ALS). The conventional method purposes the recognition of the right hand and the left hand motor imagery. In this study, statistical pattern recognition method based on AR model is introduced to discriminate the EEG signals recorded during the right hand, the left hand and the right foot motor imagery. And the recognition of the hand motor imagery and the foot motor imagery also is carried out. Finally, the effectiveness of our method is confirmed through the experimental studies
Starting Page	5169
Ending Page	5173
File Size	5245114
Page Count	5
File Format	PDF
ISBN	8995003847
DOI	10.1109/SICE.2006.315676
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-18
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	The Institute of Control, Automation and Systems
Subject Keyword	Pattern recognition Electroencephalography Foot Feedback Brain computer interfaces Brain modeling Monitoring Biomedical informatics Biomedical engineering Image recognition motor imagery EEG AR-model brain computer interface
Content Type	Text
Resource Type	Article

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