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Title: A novel semi-blind signal extraction approach incorporating parafac for the removal of eye-blink artifact from EEGs
Authors: Nazarpour, K.
Sanei, Saeid
Chambers, Jonathon
Keywords: Artifact removal
Blind signal extraction
Parallel factor analysis
Issue Date: 2007
Publisher: © IEEE
Citation: NAZARPOUR, K., SANEI, S. and CHAMBERS, J., 2007. A novel semi-blind signal extraction approach incorporating parafac for the removal of eye-blink artifact from EEGs. IN: 15th International Conference on Digital Signal Processing, Cardiff, 1-4th July, pp. 127-130
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.
Description: This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/ICDSP.2007.4288535
URI: https://dspace.lboro.ac.uk/2134/5638
ISBN: 1424408822
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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