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How to apply nonlinear subspace techniques to univariate biomedical tim e series

dc.contributor.authorTeixeira, Ana
dc.contributor.authorTomé, A. M.
dc.contributor.authorBöhm, M.
dc.contributor.authorPuntonet, Carlos G.
dc.contributor.authorLang, Elmar W.
dc.date.accessioned2023-10-23T09:10:09Z
dc.date.available2023-10-23T09:10:09Z
dc.date.issued2009
dc.description.abstractIn this paper, we propose an embedding technique for univariate single-channel biomedical signals to apply projective subspace techniques. Biomedical signals are often recorded as 1-D time series; hence, they need to be transformed to multidimensional signal vectors for subspace techniques to be applicable. The transformation can be achieved by embedding an observed signal in its delayed coordinates. We propose the application of two nonlinear subspace techniques to embedded multidimensional signals and discuss their relation. The techniques consist of modified versions of singular-spectrum analysis (SSA) and kernel principal component analysis (KPCA). For illustrative purposes, both nonlinear subspace projection techniques are applied to an electroencephalogram (EEG) signal recorded in the frontal channel to extract its dominant electrooculogram (EOG) interference. Furthermore, to evaluate the performance of the algorithms, an experimental study with artificially mixed signals is presented and discussed.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/47383
dc.language.isoengpt_PT
dc.publisher[Institute of Electrical and Electronics Engineers]pt_PT
dc.subjectElectroencephalogram (EEG)pt_PT
dc.subjectelectrooculogram (EOG)pt_PT
dc.subjectkernel principal component analysis (KPCA)pt_PT
dc.subjectlocal singular spectrum analysis (SSA)pt_PT
dc.subjectremoving artifactspt_PT
dc.subjectsubspace techniques.pt_PT
dc.titleHow to apply nonlinear subspace techniques to univariate biomedical tim e seriespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlace[New Jersey]pt_PT
oaire.citation.endPage2443pt_PT
oaire.citation.issue8pt_PT
oaire.citation.startPage2433pt_PT
oaire.citation.titleIEEE Transactions on Instrumentation and Measurementpt_PT
oaire.citation.volume58pt_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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