Pattern recognition of EEG signals during motor imagery - based on Directed Information analysis

被引：0
|
作者：
Taniguchi, Miyo [1 ]
Mihara, Makoto [1 ]
Yamagutchi, Tomonari [1 ]
Kaminaka, Junpei [1 ]
Inoue, Katsuhiro [1 ]
Pfurtscheller, Gert [2 ]
机构：
[1] Kyushu Inst Technol, Dept Syst Innovat & Informat, Fac Comp Sci & Syst Engn, 680-4 Kawazu, Fukuoka 8208502, Japan
[2] Graz Univ Technol, Inst Biomed Engn, Dept Med Informat, A-8010 Graz, Austria
来源：
PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8 | 2007年
关键词：
EEG; AR-model; brain computer interface; motor imagery; Directed Information;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Electroencephalograph (EEG) recordings dining 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 sturdy, feature extraction based on Directed Information analysis is introduced to discriminate the EEG signals recorded during the right hand, the left hand and the right foot motor imagery. The effectiveness of our method is confirmed through the experimental studies.
引用
收藏
页码：1929 / +
页数：2
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