DocumentCode :
3237762
Title :
A Novel Semi-Blind Signal Extraction Approach Incorporating Parafac for the Removal of Eye-Blink Artifact from EEGs
Author :
Nazarpour, Kianoush ; Sanei, Saeid ; Chambers, Jonathon A.
Author_Institution :
Cardiff Univ., Cardiff
fYear :
2007
fDate :
1-4 July 2007
Firstpage :
127
Lastpage :
130
Abstract :
In this paper, a novel iterative blind signal extraction (BSE) scheme for the removal of the eye-blink artifact from electroencephalogram (EEC) signals is proposed. In this method, in order to remove the artifact, the signal extraction algorithm is provided with a priori information, i.e., an estimation of the column of the mixing matrix corresponding to the eye- blink source. The a priori knowledge, namely the vector corresponding to the spatial distribution of the eye-blink factor, is identified by using the method of parallel factor analysis (PARAFAC). Hence, we call the BSE approach, semi- blind signal extraction (SBSE). The results demonstrate that the proposed algorithm effectively identifies and removes the eye-blink artifact from raw EEC measurements.
Keywords :
electroencephalography; eye; iterative methods; medical signal processing; EEG; PARAFAC; electroencephalogram; eye-blink artifact removal; iterative scheme; parallel factor analysis; semiblind signal extraction; Data mining; Digital signal processing; Electroencephalography; Electrooculography; Independent component analysis; Iterative methods; Principal component analysis; Scalp; Signal processing; Signal processing algorithms; Artifact removal; blind signal extraction; electroencephalogram; eye-blink; parallel factor analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing, 2007 15th International Conference on
Conference_Location :
Cardiff
Print_ISBN :
1-4244-0882-2
Electronic_ISBN :
1-4244-0882-2
Type :
conf
DOI :
10.1109/ICDSP.2007.4288535
Filename :
4288535
Link To Document :
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