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dc.contributor.authorCamilleri, Tracey A.-
dc.contributor.authorCamilleri, Kenneth P.-
dc.contributor.authorFabri, Simon G.-
dc.contributor.authorZervakis, Michalis-
dc.contributor.authorMicheloyannis, Sifis-
dc.date.accessioned2017-04-26T11:28:12Z-
dc.date.available2017-04-26T11:28:12Z-
dc.date.issued2008-
dc.identifier.citationCassar, T. A., Camilleri, K. P., Fabri, S. G., Zervakis, M., & Micheloyannis, S. (2008, March). ARMA modeling for the diagnosis of controlled epileptic activity in young children. 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008, St. Julians. 25-30.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/18632-
dc.descriptionThis work was partly supported by the European FP6 Network of Excellence BIOPATTERN, contract number 508803 and by the internal research grant of the University of Malta LBA-73-967.en_GB
dc.description.abstractParametric 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 45Hz, with the largest difference occurring within the alpha band.en_GB
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectEpileptic children -- Behavior modificationen_GB
dc.subjectElectroencephalographyen_GB
dc.titleARMA modeling for the diagnosis of controlled epileptic activity in young childrenen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008en_GB
dc.bibliographicCitation.conferenceplaceSt. Julians, Malta, 12-14/03/2008en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1109/ISCCSP.2008.4537186-
Appears in Collections:Scholarly Works - FacEngSCE

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