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ARMA modeling for the diagnosis of controlled epileptic activity in young children

Zervakis Michalis, Camilleri K. P., Μιχελογιάννης Σήφης, Fabri S. G., Cassar T. A.

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URIhttp://purl.tuc.gr/dl/dias/A963A309-F1AC-491B-831B-4C527016F2AE-
Identifierhttps://doi.org/10.1109/ISCCSP.2008.4537186-
Identifierhttps://ieeexplore.ieee.org/document/4537186-
Languageen-
Extent6 pagesen
TitleARMA modeling for the diagnosis of controlled epileptic activity in young childrenen
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
CreatorCamilleri K. P.en
CreatorΜιχελογιάννης Σήφηςel
CreatorMichelogiannis Sifisen
CreatorMicheloyannis Sifisen
CreatorFabri S. G.en
CreatorCassar T. A.en
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryParametric models are widely used for EEG data analysis. In this experimental study an autoregressive moving average (ARMA) model was used to extract spectral features within defined frequency bands which were then used to discriminate a group of children with controlled mild epilepsy from an age- and sex-matched control group. This study differs from other published works in that it shows that this technique can be used as a biomarker to distinguish the epileptic subjects specifically when the EEG recordings of these subjects are clinically diagnosed as normal. Using the spectral features and a linear discriminant classifier a global classification score of up to 85% was achieved on our clinical data. Furthermore the results showed that epileptic children have significantly higher spectral power in frequency bands up to 45 Hz, with the largest difference occurring within the alpha band.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-25-
Date of Publication2008-
SubjectEpilepsyen
SubjectBrain modelingen
SubjectAutoregressive processesen
SubjectEEGen
SubjectElectroencephalographyen
SubjectFrequencyen
SubjectParametric statisticsen
SubjectData analysisen
SubjectData miningen
SubjectFeature extractionen
SubjectBiomarkersen
Bibliographic CitationT.A. Cassar, K.P. Camilleri, S.G. Fabri, M. Zervakis and S. Micheloyannis," ARMA modeling for the diagnosis of controlled epileptic activity in young children,"in 3rd International Symposium on Communications, Control and Signal Processing, 2008, pp.25-30. doi:10.1109/ISCCSP.2008.4537186en

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