Artificial immune recognition system with fuzzy resource allocation mechanism classifier, principal component analysis and FFT method based new hybrid automated identification system for classification of EEG signals

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dc.contributor.authorPolat, Kemal
dc.contributor.authorGuens, Salih
dc.date.accessioned2020-03-26T17:26:26Z
dc.date.available2020-03-26T17:26:26Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe aim of this study is to classification of EEG signals using a new hybrid automated identification system based on Artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism, principal component analysis (PCA) and fast Fourier transform (FFT) method. EEG signals used belong to normal subject and patient that has epileptic seizure. The proposed system has three stages: (i) feature extraction using Welch (FFT) method, (ii) dimensionality reduction using PCA, and (iii) EEG classification using AIRS with fuzzy resource allocation. We have used the 10-fold cross-validation, classification accuracy, sensitivity and specificity analysis, and confusion matrix to show the robustness and efficient of proposed system. The obtained classification accuracy is about 100% and it is very promising compared to the previously reported classification techniques. (c) 2007 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.eswa.2007.02.009en_US
dc.identifier.endpage2048en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issn1873-6793en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2039en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2007.02.009
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22218
dc.identifier.volume34en_US
dc.identifier.wosWOS:000253183700047en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEEG signalsen_US
dc.subjectartificial immune recognition systemen_US
dc.subjectfuzzy resource allocation mechanismen_US
dc.subjectwelch methoden_US
dc.subjectprincipal component analysisen_US
dc.subjectexpert systemsen_US
dc.titleArtificial immune recognition system with fuzzy resource allocation mechanism classifier, principal component analysis and FFT method based new hybrid automated identification system for classification of EEG signalsen_US
dc.typeArticleen_US

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