P300 Wave Extraction by Wavelet Transform Combined with Independent Component Analysis
- VernacularTitle:WICA算法在脑电P300波成分提取中的应用研究
- Author:
Wei FU
;
Xinyou ZHANG
;
Ping XIONG
- Publication Type:Journal Article
- Keywords:
wavelet transform;
ICA;
brain electrical signal;
characteristic enhancement
- From:
Chinese Medical Equipment Journal
1989;0(01):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study P300 wave extraction by a new method. Methods According to the respective characteristics of the brain electrical signal and the signal analysis method, the algorithm by Wavelet Transformation (WT) combined with Independent Component Analysis (ICA), abbreviated to WICA, was applied to P300 wave extraction. Results With WT, the target component of the signal could be strengthened, while the non-target component and the noise were weakened which became weak in multi -channel ICA input signal, and then WICA algorithm could effectively separate strong target component. Conclusion WICA algorithm behaves well in P300 wave extraction.
