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

Nazarpour, K, Wongsawat, Y, Sanei, S, Oraintara, S and Chambers, JA (2007) A robust minimum variance beamforming approach for the removal of the eye-blink artifacts from EEGs.

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Nazarpour, KUNSPECIFIEDUNSPECIFIED
Wongsawat, YUNSPECIFIEDUNSPECIFIED
Sanei, Ss.sanei@surrey.ac.ukUNSPECIFIED
Oraintara, SUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Date : 1 December 2007
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:18
Last Modified : 17 May 2017 15:10
URI: http://epubs.surrey.ac.uk/id/eprint/838723

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