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Title: A robust minimum variance beamforming approach for the removal of the eye-blink artifacts from EEGs
Authors: Nazarpour, K.
Wongsawat, Yodchanan
Sanei, Saeid
Oraintara, Soontorn
Chambers, Jonathon
Issue Date: 2007
Publisher: © IEEE
Citation: NAZARPOUR, K., 2007. A robust minimum variance beamforming approach for the removal of the eye-blink artifacts from EEGs. IN: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (EMBS 2007), Lyon, France, 22-26 Aug., pp. 6211 - 6214
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.
Description: This is a conference paper [© IEEE]. It is also available from: 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/IEMBS.2007.4353774
URI: https://dspace.lboro.ac.uk/2134/5628
ISBN: 9781424407873
ISSN: 1557-170X
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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