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A novel semi-blind signal extraction approach incorporating parafac for the removal of eye-blink artifact from EEGs

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conference contribution
posted on 09.12.2009, 16:24 by K. Nazarpour, Saeid Sanei, Jonathon Chambers
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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

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

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2007

Notes

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.

ISBN

1424408822

Language

en