Pattern recognition of EEG signals during right and left motor imagery - Learning effects of the subjects

被引：4

作者：

Inoue, Katsuhiro ^{[1
]}

Mori, Daiki ^{[1
]}

Pfurtscheller, Gert ^{[2
]}

Kumanaru, Kousuke ^{[1
]}

机构：

[1] Kyushu Inst Technol, Factory Comp Sci & Syst Engn, Dept Syst Innovat & Informat, Iizuka, Fukuoka, Japan

[2] Graz Univ Technol, Inst Biomed Engn, Dept Med Informat, Graz, Austria

来源：

COMPLEX MEDICAL ENGINEERING | 2007年

关键词：

pattern recognition; EEG (electroencephalogram); motor imagery; and BCI (brain computer interface);

D O I：

10.1007/978-4-431-30962-8_23

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Electroencephalograph (EEG) recordings during right and left 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). In this study, statistical pattern recognition method based on AR model was introduced to discriminate the EEG signals recorded during right and left motor imagery. And the learning effects of the subjects are investigated.

引用

页码：251 / +

页数：2

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