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Separation and Localisation of P300 Sources and Their Subcomponents Using Constrained Blind Source Separation

EURASIP Journal on Advances in Signal Processing20062007:082912

https://doi.org/10.1155/2007/82912

Received: 1 October 2005

Accepted: 11 June 2006

Published: 18 September 2006

Abstract

Separation and localisation of P300 sources and their constituent subcomponents for both visual and audio stimulations is investigated in this paper. An effective constrained blind source separation (CBSS) algorithm is developed for this purpose. The algorithm is an extension of the Infomax BSS system for which a measure of distance between a carefully measured P300 and the estimated sources is used as a constraint. During separation, the proposed CBSS method attempts to extract the corresponding P300 signals. The locations of the corresponding sources are then estimated with some indeterminancy in the results. It can be seen that the locations of the sources change for a schizophrenic patient. The experimental results verify the statistical significance of the method and its potential application in the diagnosis and monitoring of schizophrenia.

Keywords

SchizophreniaInformation TechnologyPotential ApplicationQuantum InformationSchizophrenic Patient

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Authors’ Affiliations

(1)
The Centre of Digital Signal Processing, School of Engineering, Cardiff University, Wales, UK
(2)
The Brain Image Analysis Unit, Institute of Psychiatry, King's College Hospital, London, UK

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Copyright

© Loukianos Spyrou et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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