Cerebral Cortex Atlas of Emotional States Through EEG Processing

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dc.citation.journalTitleIfmbe Proceedingseng
dc.contributor.authorGómez A.
dc.contributor.authorQuintero O.L.
dc.contributor.authorLopez-Celani N.
dc.contributor.authorVilla L.F.
dc.contributor.departmentUniversidad EAFIT. Escuela de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.date.accessioned2021-04-12T14:07:18Z
dc.date.available2021-04-12T14:07:18Z
dc.date.issued2019-10-14
dc.description.abstractThis paper addresses the cerebral cortex maps construction from EEG signals getting an information simplification method for an emotional state phenomenon description. Bi-dimensional density distribution of main signal features are identified and a comparison to a previous approach is presented. Feature extraction scheme is performed via windowed EEG signals Stationary Wavelet Transform with the Daubechies Family (1–10); nine temporal and spectral descriptors are computed from the decomposed signal. Recursive feature selection method based on training a Random forest classifier using a one-vs-all scheme with the full features space, then a ranking procedure via gini importance, eliminating the bottom features and restarting the entire process over the new subset. Stopping criteria is the maximum accuracy. The main contribution is the analysis of the resulting subset features as a proxy for cerebral cortex maps looking for the cognitive processes understanding from surface signals. Identifying the common location of different emotional states in the central and frontal lobes, allowing to be strong parietal and temporal lobes differentiators for different emotions. © 2020, Springer Nature Switzerland AG.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=9842
dc.identifier.doi10.1007/978-3-030-30648-9_19
dc.identifier.issn16800737
dc.identifier.otherSCOPUS;2-s2.0-85075694660
dc.identifier.urihttp://hdl.handle.net/10784/27810
dc.language.isoengeng
dc.publisherSPRINGER
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85075694660&doi=10.1007%2f978-3-030-30648-9_19&partnerID=40&md5=6541319a548e588e0d7f8ff1c717af63
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1680-0737
dc.sourceIfmbe Proceedings
dc.subject.keywordBiomedical engineeringeng
dc.subject.keywordBiophysicseng
dc.subject.keywordDecision treeseng
dc.subject.keywordDiscrete wavelet transformseng
dc.subject.keywordElectroencephalographyeng
dc.subject.keywordSignal processingeng
dc.subject.keywordAtlaseng
dc.subject.keywordCerebral cortexeng
dc.subject.keywordDensity distributionseng
dc.subject.keywordEmotioneng
dc.subject.keywordFeature selection methodseng
dc.subject.keywordRandom forest classifiereng
dc.subject.keywordSimplification methodeng
dc.subject.keywordStationary wavelet transformseng
dc.subject.keywordFeature extractioneng
dc.titleCerebral Cortex Atlas of Emotional States Through EEG Processingeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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