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EEG feature extraction and selection methods using wavelets and ARMA model for classifying mild epileptic signal patterns

Zervakis Michail, Sakkalis, Vangelis, Μιχελογιάννης Σήφης, Camilleri Kenneth P., Bigan Cristin, Cassar Tracey, Fabri Simon G.

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URIhttp://purl.tuc.gr/dl/dias/D1AC264F-6886-44DC-A17F-BC3F540FB7F8-
Languageen-
Extent2 pagesen
TitleEEG feature extraction and selection methods using wavelets and ARMA model for classifying mild epileptic signal patternsen
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
CreatorSakkalis, Vangelisen
CreatorΜιχελογιάννης Σήφηςel
CreatorMicheloyannis Sifisen
CreatorMichelogiannis Sifisen
CreatorCamilleri Kenneth P.en
CreatorBigan Cristinen
CreatorCassar Traceyen
CreatorFabri Simon G.en
Content SummaryEpilepsy is one of the most common brain disorders and may result in brain dysfunction and cognitive disturbances. Epileptic seizures usually begin in childhood and evaluation as well as treatment of these children is of importance. Most of the cases in childhood are not accommodated by brain damage and many drugs produce no brain dysfunction. Thus we decided to examine children with seizures and compare them with controls to evaluate cognitive function in mild epilepsy cases i.e. children with epileptic seizures, without brain damage and under drug control.en
Type of ItemΣύντομη Δημοσίευση σε Συνέδριοel
Type of ItemConference Short Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-26-
Date of Publication2006-
SubjectEpilepsyen
Bibliographic CitationV. Sakkalis, M. Zervakis, C. Bigan, T. Cassar, K. P. Camilleri, S. G. Fabri and S. Micheloyannis, "EEG feature extraction and selection methods using wavelets and ARMA model for classifying mild epileptic signal patterns," presented at Biopattern Brain Workshop, Gotenborg, Sweden, 2006. en

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