Teixeira, A. R. and Tomé, A. M. and Lang, Elmar and Gruber, Peter and Martins da Silva, A. (2005) Removal of ocular artefacts from electroencephalograms using singular spectrum analysis. In: Fonseca, José, (ed.) Proc. 2nd Int. Conf. Comput. Intelligence Medicine Healthcare (CIMED), 29th June - 1st July 2005, Lisbon, Portugal. CD-rom. IEE Healthcare Technologies, Lisbon, pp. 24-29. ISBN 0863415202, 9780863415203.
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Other URL: http://www.uninova.pt/cimed2005/
In this work we will present a method based on singular spectrum analysis (SSA) to remove ocular artifacts from an Electroencephalogram (EEG). After embedding the EEG signals in a feature space of time- delayed coordinates, the principal directions are computed. Using the projections of the embedded signals onto the eigenvectors corresponding to the largest eigenvalues, the Electrooculogram (EOG) signal is extracted. Thereby it is tacitly assumed that, as the EOG artifact represents a large-amplitude signal, it should be associated with the largest eigenvalues. We incorporate a Minimum Description Length (MDL) criterion based on information theory to determine the appropriate number of eigenvalues which correspond to the EOG signal. The extracted EOG signal is subtracted from the original EEG signal to obtain the artifact- free signal we are interested in.
|Item Type:||Book Section|
|Institutions:||Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang|
|Projects:||BMBF Projekt ModKog|
|Subjects:||500 Science > 530 Physics|
500 Science > 570 Life sciences
|Refereed:||Yes, this version has been refereed|
|Created at the University of Regensburg:||Yes|
|Deposited On:||20 Mar 2007|
|Last Modified:||14 Oct 2010 10:18|