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Single-channel electroencephalogram analysis using non-linear subspace techniques

dc.contributor.authorTeixeira, A.R.
dc.contributor.authorAlves, N.
dc.contributor.authorTome, A.M.
dc.contributor.authorBohm, M.
dc.contributor.authorLang, E.W.
dc.contributor.authorPuntonet, C.G.
dc.date.accessioned2023-10-23T10:46:01Z
dc.date.available2023-10-23T10:46:01Z
dc.date.issued2007
dc.description.abstractIn this work, we propose the correction of univariate, single channel EEGs using projective subspace techniques. The biomedical signals which often represent one dimensional time series, need to be transformed to multi-dimensional signal vectors for the latter techniques to be applicable. The transformation can be achieved by embedding an observed signal in its delayed coordinates. We propose the application of two non-linear subspace techniques to the obtained multidimensional signal. One of the techniques consists in a modified version of Singular Spectrum Analysis (SSA) and the other is kernel Principal Component Analysis (KPCA) implemented using a reduced rank approximation of the kernel matrix. Both nonlinear subspace projection techniques are applied to an electroencephalogram (EEG) signal recorded in the frontal channel to extract its prominent electrooculogram (EOG) interference.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/WISP.2007.4447577pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/47394
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.subjectSubspace Techniquespt_PT
dc.subjectlocal SSApt_PT
dc.subjectKPCApt_PT
dc.subjectEOGspt_PT
dc.subjectEEGpt_PT
dc.subjectRemoving Artifactspt_PT
dc.titleSingle-channel electroencephalogram analysis using non-linear subspace techniquespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceAlcala de Henarespt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2007 IEEE International Symposium on Intelligent Signal Processingpt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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