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Subspace techniques to remove artifacts from EEG: A quantitative analysis

dc.contributor.authorTeixeira, Ana
dc.contributor.authorTome, A. M.
dc.contributor.authorLang, E. W.
dc.contributor.authorMartins da Silva, A.
dc.date.accessioned2023-10-23T10:54:22Z
dc.date.available2023-10-23T10:54:22Z
dc.date.issued2008
dc.description.abstractIn this work we discuss and apply projective subspace techniques to both multichannel as well as single channel recordings. The single-channel approach is based on singular spectrum analysis(SSA) and the multichannel approach uses the extended infomax algorithm which is implemented in the opensource toolbox EEGLAB. Both approaches will be evaluated using artificial mixtures of a set of selected EEG signals. The latter were selected visually to contain as the dominant activity one of the characteristic bands of an electroencephalogram (EEG). The evaluation is performed both in the time and frequency domain by using correlation coefficients and coherence function, respectively.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/IEMBS.2008.4650185pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/47397
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.titleSubspace techniques to remove artifacts from EEG: A quantitative analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceVancouverpt_PT
oaire.citation.endPage4398pt_PT
oaire.citation.startPage4395pt_PT
oaire.citation.title30th Annual International IEEE EMBS Conferencept_PT
person.familyNameTeixeira
person.givenNameAna
person.identifier.ciencia-idD619-A151-8BE2
person.identifier.orcid0000-0002-8120-0148
person.identifier.ridA-3100-2014
person.identifier.scopus-author-id7202385348
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationc1ff686d-c3d3-4658-96c6-a1f62a52777a
relation.isAuthorOfPublication.latestForDiscoveryc1ff686d-c3d3-4658-96c6-a1f62a52777a

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