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Automatic removal of ocular artifacts from EEG data using adaptive filtering and independent component analysis

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.contributor.authorGuerrero Mosquera, Carlos Andrés
dc.contributor.authorNavia Vázquez, Ángel
dc.date.accessioned2010-07-19T08:13:06Z
dc.date.available2010-07-19T08:13:06Z
dc.date.issued2009-08
dc.description5 pages, 4 figures.-- Contributed to: 17th European Signal Processing Conference (EUSIPCO 2009), Glasgow, Scotland, Aug 24-28, 2009.
dc.description.abstractA method to eliminate eye movement artifacts based on Independent Component Analysis (ICA) and Recursive Least Squares (RLS) is presented. The proposed algorithm combines the effective ICA capacity of separating artifacts from brain waves, together with the online interference cancellation achieved by adaptive filtering. The method uses separate electrodes localized close to the eyes (Fp1, Fp2, F7 and F8), that register vertical and horizontal eye movements, to extract a reference signal. Each reference input is first projected into ICA domain and then the interference is estimated using the RLS algorithm. This interference estimation is subtracted from the EEG components in the ICA domain. Results from experimental data demonstrate that this approach is suitable for eliminating artifacts caused by eye movements, and the principles of this method can be extended to certain other sources of artifacts as well. The method is easy to implement, stable, and presents a low computational cost.
dc.description.sponsorshipThis work has been funded by the Spanish Government under grant TEC2008-02473.
dc.description.statusPublicado
dc.format.mimetypetext/html
dc.identifier.bibliographicCitationProceedings of the 17th European Signal Processing Conference (EUSIPCO 2009), pp. 2317-2321
dc.identifier.urihttps://hdl.handle.net/10016/9097
dc.language.isoeng
dc.publisherEuropean Association for Signal, Speech, and Image Processing (EURASIP)
dc.relation.publisherversionhttp://www.eurasip.org/proceedings/eusipco/eusipco2009/contents/papers/1569183686.pdf
dc.rights© EURASIP
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicaciones
dc.titleAutomatic removal of ocular artifacts from EEG data using adaptive filtering and independent component analysis
dc.typeconference paper*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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