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Classification of alzheimer’s electroencephalograms using artificial neural networks and logistic regression

dc.contributor.authorRodrigues, Pedro Miguel
dc.contributor.authorTeixeira, João Paulo
dc.contributor.authorHornero, Roberto
dc.contributor.authorPoza, Jesús
dc.contributor.authorCarreres, Alicia
dc.date.accessioned2014-10-27T14:54:34Z
dc.date.available2014-10-27T14:54:34Z
dc.date.issued2011
dc.description.abstractThe Artificial Neural Networks have been used over the years to solve complex problems and their development has strongly grown in recent years. In particular, this work, focused on the development and a comparison between Artificial Neural Networks (ANN) and a traditional statistical technic known as Logistic Regression (LR) in Electroencephalogram (EEG) classification. The Wavelet Transform was seen as the main technique of signal processing, in order to analyze the EEG signals of this study. Some features were extracted by the EEG signals like relative power (RP) in conventional frequency bands and two spectral ratios. The best feature combination was selected by Principal Components Analysis method to increase the accuracy of the ANN and LR to discriminate their entries between Alzheimer Disease and Controls.por
dc.identifier.citationRodrigues, Pedro Miguel; Teixeira, João Paulo; Hornero, Roberto; Poza, Jesús; Carreres, Alicia (2011). Classification of alzheimer’s electroencephalograms using artificial neural networks and logistic regression, In Japan - Portugal Nano-Biomedical Engineering Symposium. Bragança, Portugal. p.33-34. ISBN-4-904157-20-6.por
dc.identifier.isbn4-904157-20-6
dc.identifier.urihttp://hdl.handle.net/10198/11062
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectEEGpor
dc.subjectLogistic regressionpor
dc.subjectClassificationpor
dc.subjectWavelet transformpor
dc.subjectArtificial neural networkspor
dc.titleClassification of alzheimer’s electroencephalograms using artificial neural networks and logistic regressionpor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceBragançapor
oaire.citation.endPage34por
oaire.citation.startPage33por
oaire.citation.titleJapan - Portugal Nano-Biomedical Engineering Symposiumpor
person.familyNameTeixeira
person.givenNameJoão Paulo
person.identifier663194
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id57069567500
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery33f4af65-7ddf-46f0-8b44-a7470a8ba2bf

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