A new method of feature extraction from EEG signal for brain-computer interface design

被引：0
|
作者：
Kolodziej, Marcin [1 ]
Majkowski, Andrzej [1 ]
Rak, Remigiusz J. [1 ]
机构：
[1] Warsaw Univ Technol, Inst Theory Elect Engn Measurement & Informat Sys, PL-00661 Warsaw, Poland
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2010年 / 86卷 / 09期
关键词：
BCI; brain-computer interface; EEG; feature extraction; wavelets; higher order statistics; POTENTIALS; MOVEMENT;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The main aim of the article is to introduce a new method of feature extraction from EEG signal for brain-computer interface design. The proposed algorithms are based on wavelet transform and higher order statistics (HOS). Next authors present the research results for brain-computer interface design using motion imagining. Proposed feature extraction methods are implemented in construction of the interface. Experiments are conducted with use of two electrodes ().
引用
收藏
页码：35 / 38
页数：4
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