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A robust minimum variance beamforming approach for the removal of the eye-blink artifacts from EEGs

Nazarpour, K, Sanei, S, Chambers, JA, Wongsawat, Y and Oraintara, S (2007) A robust minimum variance beamforming approach for the removal of the eye-blink artifacts from EEGs Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. pp. 6211-6214.

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Abstract

In this paper a novel scheme for the removal of eye-blink (EB) artifacts from electroencephalogram (EEG) signals based on the robust minimum variance beamformer (RMVB) is proposed. In this method, in order to remove the artifact, the RMVB is provided with a priori information, i.e., an estimation of the steering vector corresponding to the point source EB artifact. The artifact-removed EEGs are subsequently reconstructed by deflation. The a priori knowledge, namely the vector corresponding to the spatial distribution of the EB factor, is identified using a novel space-time-frequency-time/segment (STF-TS) model of EEGs, provided by a four-way parallel factor analysis (PARAFAC) approach. The results demonstrate that the proposed algorithm effectively identifies and removes the EB artifact from raw EEG measurements. © 2007 IEEE.

Item Type: Article
Authors :
NameEmailORCID
Nazarpour, KUNSPECIFIEDUNSPECIFIED
Sanei, SUNSPECIFIEDUNSPECIFIED
Chambers, JAUNSPECIFIEDUNSPECIFIED
Wongsawat, YUNSPECIFIEDUNSPECIFIED
Oraintara, SUNSPECIFIEDUNSPECIFIED
Date : 2007
Identification Number : 10.1109/IEMBS.2007.4353774
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:14
Last Modified : 31 Oct 2017 14:55
URI: http://epubs.surrey.ac.uk/id/eprint/742998

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