Employment and Comparison of Different Artificial Neural Networks for Epilepsy Diagnosis from EEG Signals

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dc.contributor.authorSezer, Esma
dc.contributor.authorIsik, Hakan
dc.contributor.authorSaracoglu, Esra
dc.date.accessioned2020-03-26T18:25:28Z
dc.date.available2020-03-26T18:25:28Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, it has been intended to analyze Electroencephalography (EEG) signals by Wavelet Transform (WT) for diagnosis of epilepsy, to employ various Artificial Neural Networks (ANNs) for the signals' automatic classification. Furthermore, carrying out a performance comparison has been aimed. Three EEG signals have been decomposed into frequency sub bands by WT and the feature vectors have been extracted from these sub bands. In order to reduce the sizes of the extracted feature vectors, Principal Component Analysis (PCA) method has been applied when necessary and these feature vectors have been classified by five different ANNs as either epileptic or healthy. The performance evaluation has been carried out by conducting ROC analysis for the used ANN models that and their comparisons have also been included.en_US
dc.identifier.doi10.1007/s10916-010-9480-5en_US
dc.identifier.endpage362en_US
dc.identifier.issn0148-5598en_US
dc.identifier.issn1573-689Xen_US
dc.identifier.issue1en_US
dc.identifier.pmid20703714en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage347en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10916-010-9480-5
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28011
dc.identifier.volume36en_US
dc.identifier.wosWOS:000303823600030en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofJOURNAL OF MEDICAL SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEpilepsyen_US
dc.subjectElectroencephalography (EEG)en_US
dc.subjectWavelet transformen_US
dc.subjectPrincipal Component Analysis (PCA)en_US
dc.subjectArtificial Neural Networks (ANN)en_US
dc.subjectRoc analysisen_US
dc.titleEmployment and Comparison of Different Artificial Neural Networks for Epilepsy Diagnosis from EEG Signalsen_US
dc.typeArticleen_US

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