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Automatic artefact removal from event-related potentials via clustering

Nicolaou, N. and Nasuto, S. J. (2007) Automatic artefact removal from event-related potentials via clustering. Journal of VLSI Signal Processing Systems for Signal Image and Video Technology, 48 (1-2). pp. 173-183. ISSN 0922-5773

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To link to this article DOI: 10.1007/s11265-006-0011-z

Abstract/Summary

This paper outlines a method for automatic artefact removal from multichannel recordings of event-related potentials (ERPs). The proposed method is based on, firstly, separation of the ERP recordings into independent components using the method of temporal decorrelation source separation (TDSEP). Secondly, the novel lagged auto-mutual information clustering (LAMIC) algorithm is used to cluster the estimated components, together with ocular reference signals, into clusters corresponding to cerebral and non-cerebral activity. Thirdly, the components in the cluster which contains the ocular reference signals are discarded. The remaining components are then recombined to reconstruct the clean ERPs.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:15350
Uncontrolled Keywords:event-related potentials, auto-mutual information, clustering, EEG, automatic artefact removal, EVOKED-POTENTIALS, SEPARATION, ICA

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