DocumentCode :
3321731
Title :
Feature Extraction of Brain-Computer Interface based on Second Order Blind Identification and ICA
Author :
Jiang Wang ; Guizhi Xu ; Lei Wang ; Huiyuan Zhang
Author_Institution :
Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China
fYear :
2011
fDate :
10-12 May 2011
Firstpage :
1
Lastpage :
4
Abstract :
Blind Source Separation (BSS) is a technique for recovering unobservable source signals from their mixtures such as EEG signals. Second Order Blind Identification (SOBI) is one of algorithms of BSS and it is a suitable method for analyzing EEG components for its typical non-stationary and weakness. Independent component analysis (ICA) is used to select non Gaussianity component of mixed signals. In this woke we study feature extraction of EEG signals for classifying spontaneous mental activities in brain computer interface (BCI). Three subjects participated in the BCI experiment which contains two mental tasks including imagination of left hand and right hand movement. After preprocessing, SOBI and ICA were applied to achieve special components of EEG signals. Then, the features were extracted and Linear Discriminant Analysis (LDA) was used to classify the feature extracted. The result shows that SOBI plus ICA is an effective feature extraction method for subjects whose accuracy was lower when using tradition feature extracted methods.
Keywords :
blind source separation; brain-computer interfaces; electroencephalography; feature extraction; independent component analysis; medical signal processing; EEG signals; blind source separation; brain-computer interface; feature extraction; independent component analysis; linear discriminant analysis; non-Gaussianity mixed signal component; second order blind identification; unobservable source signal recovery; Accuracy; Algorithm design and analysis; Electroencephalography; Feature extraction; Foot; Matrix decomposition; Source separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
ISSN :
2151-7614
Print_ISBN :
978-1-4244-5088-6
Type :
conf
DOI :
10.1109/icbbe.2011.5780256
Filename :
5780256
Link To Document :
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