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On the use of clustering and local singular spectrum analysis to remove ocular artefacts from electroencephalograms

Texeira, A. R. and Tomé, A. M. and Lang, Elmar and Gruber, P. and Martins da Silva, A. (2005) On the use of clustering and local singular spectrum analysis to remove ocular artefacts from electroencephalograms. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2005 : July 31 - August 4, 2005,Montréal, Québec, Canada. IEEE Operations Center, Piscataway, NJ, pp. 2514-2519. ISBN 0-7803-9048-2, 0-7803-9049-0.

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Other URL: http://faculty.uwb.edu/ijcnn05/


Abstract

In this work we present a method based on singular spectrum analysis to remove ocular artifacts (EOG) from an Electroencephalogram (EEG). After embedding the EEG signals in a feature space of time-delayed coordinates, the data are clustered and the principal components (PCs) of each cluster are computed. We assume that the EOG artifact is associated with the PCs belonging to largest ...

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Item Type:Book Section
Date:2005
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:BMBF Projekt ModKog
Dewey Decimal Classification:500 Science > 530 Physics
500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Deposited On:20 Mar 2007
Last Modified:30 Sep 2010 08:14
Item ID:1634
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