Pattern recognition of EEG signals during right and left motor imagery

被引：0
|
作者：
Inoue, K [1 ]
Sugioka, K [1 ]
Ishii, K [1 ]
Pfurtscheller, G [1 ]
Kumamaru, K [1 ]
机构：
[1] Kyushu Inst Technol, Dept Control Engn & Sci, Factory Comp Sci & Syst Engn, Iizuka, Fukuoka 8208502, Japan
来源：
SICE 2003 ANNUAL CONFERENCE, VOLS 1-3 | 2003年
关键词：
EEG; AR-model; statistical pattern recognition; brain computer interface; motor imagery;
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：
In this paper, statistical pattern recognition method based on AR model was introduced to discriminate the Electroencephalograph (EEG) signals recorded during right and left motor imagery. And learning methods were investigated. Also, correlation between C3 and C4 signals were investigated, and thereby which A R (combine AR or multivariable AR) model must be used in each EEG recording method.
引用
收藏
页码：2432 / 2437
页数：6
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