A Novel Semi-Blind Signal Extraction Approach Incorporating Parafac for the Removal of Eye-Blink Artifact from EEGs

Kianoush Nazarpour, Saeid Sanei, Jonathon A. Chambers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publication2007 15th International Conference on Digital Signal Processing
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages127-130
Number of pages4
ISBN (Print)1-4244-0881-4
DOIs
Publication statusPublished - 13 Aug 2007
Event2007 15th International Conference on Digital Signal Processing - Cardiff, United Kingdom
Duration: 1 Jul 20074 Jul 2007

Publication series

Name
PublisherIEEE
ISSN (Print)1546-1874
ISSN (Electronic)2165-3577

Conference

Conference2007 15th International Conference on Digital Signal Processing
Country/TerritoryUnited Kingdom
CityCardiff
Period1/07/074/07/07

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