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EEG discrimination with artificial neural networks

dc.contributor.authorRodrigues, Sérgio Daniel de Luís
dc.contributor.authorTeixeira, João Paulo
dc.contributor.authorRodrigues, Pedro Miguel
dc.date.accessioned2014-06-20T10:49:36Z
dc.date.available2014-06-20T10:49:36Z
dc.date.issued2013
dc.description.abstractNeuro degenerative disorders associated with aging as Alzheimer’sdisease(AD) have been increasing significantly in the last decades. AD affects the cerebral cortex and causes specific changes in brain electrical activity. Therefore, the analysis of signals from the electroencephalogram(EEG) may reveal structural and functional deficiencies typically associated with AD. This study aimed to develop an Artificial Neural Network(ANN) to classify EEG signals between cognitively normal control subjects and patients with probable AD . The results showed that the EEG can be a very useful tool to obtain an accurate diagnosis of AD. The best results were performed using the Power Spectral Density(PSD) determined by Short Time Fourier Transform (STFT) with a ANN developed using Levenberg-Marquardt training algorithm, Logarithmic Sigmoid activation function and 9 nodes in the hidden layer(correlation coefficient training:0.99964, test:0.95758 and validation:0.9653 and with a total of:0.99245).por
dc.identifier.citationRodrigues, Sergio Daniel; Teixeira, João Paulo; Rodrigues, Pedro Miguel (2013). EEG discrimination with artificial neural networks. In 6th International Joint Conference on Biomedical Engineering Systems and Technologies. Barcelonapor
dc.identifier.urihttp://hdl.handle.net/10198/9710
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectElectroencephalogrampor
dc.subjectAlzheimer’s diseasepor
dc.subjectArtificial neural networkpor
dc.titleEEG discrimination with artificial neural networkspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBarcelonapor
oaire.citation.title6th International Joint Conference on Biomedical Engineering Systems and Technologiespor
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.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery33f4af65-7ddf-46f0-8b44-a7470a8ba2bf

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