1. OAR@UM
  2. Faculty of Engineering
  3. Department of Systems & Control Engineering
  4. Scholarly Works - FacEngSCE
Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/27862
Full metadata record
DC FieldValueLanguage
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.accessioned2018-03-12T09:15:25Z
dc.date.available2018-03-12T09:15:25Z
dc.date.issued2008-02
dc.identifier.citationCassar, T. A., Camilleri, K. P., Fabri, S. G., Zervakis, M., & Micheloyannis, S. (2008). Window size analysis in arma-modeled spectral biomarkers for epileptic children. 6th IASTED International Conference on Biomedical Engineering, BioMED 2008, Innsbruck. 58-63.en_GB
dc.identifier.isbn9780889867215
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/27862
dc.description.abstractAutoregressive Moving Average (ARMA) models are suitable for modeling processes whose frequency spectrum exhibits both sharp peaks and deep nulls. In this analysis an ARMA model was used to model EEG data and estimate its time-frequency spectrum. Spectral features were then extracted and their suitability as biomarkers for epileptic children whose EEG is clinically diagnosed as normal is analyzed. Furthermore, variations in classification are investigated when features are extracted from different window sizes. Results show that through windowing, a maximum classification score of 97.9% is achieved with an improvement of up to 18.3% over the non-windowed case.en_GB
dc.language.isoenen_GB
dc.publisherIASTEDen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectChildren with disabilitiesen_GB
dc.subjectEpilepsy in childrenen_GB
dc.subjectElectroencephalography -- Data processingen_GB
dc.subjectEpilepsy in children -- Treatmenten_GB
dc.titleWindow size analysis in ARMA-modeled spectral biomarkers for epileptic 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.conferencename6th IASTED International Conference on Biomedical Engineering, BioMED 2008en_GB
dc.bibliographicCitation.conferenceplaceInnsbruck, Austria, 13-15/02/2008en_GB
dc.description.reviewedpeer-revieweden_GB
Appears in Collections:Scholarly Works - FacEngSCE

Files in This Item:
File Description SizeFormat 
BioMed 2008 - Final Paper - Number 601-166.pdf
  Restricted Access		Conference paper713.15 kBAdobe PDFView/Open Request a copy
Show simple item record Statistics


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.