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Window size analysis in ARMA-modeled spectral biomarkers for epileptic children

Μιχελογιάννης Σήφης, Zervakis Michail, Cassar Tracey, Camilleri Kenneth P. , Fabri Simon G.

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/78885245-09B9-49D0-B307-D8DBC5783072-
Αναγνωριστικόhttps://dl.acm.org/doi/10.5555/1713360.1713373-
Γλώσσαen-
Μέγεθος6 pagesen
ΤίτλοςWindow size analysis in ARMA-modeled spectral biomarkers for epileptic childrenen
ΔημιουργόςΜιχελογιάννης Σήφηςel
ΔημιουργόςMicheloyannis Sifisen
ΔημιουργόςMichelogiannis Sifisen
ΔημιουργόςZervakis Michailen
ΔημιουργόςΖερβακης Μιχαηλel
ΔημιουργόςCassar Traceyen
ΔημιουργόςCamilleri Kenneth P. en
ΔημιουργόςFabri Simon G. en
ΕκδότηςACTA Pressen
ΠερίληψηAutoregressive 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
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-26-
Ημερομηνία Δημοσίευσης2008-
Θεματική ΚατηγορίαAutoregressive Moving Average (ARMA)en
Θεματική ΚατηγορίαEEGen
Θεματική ΚατηγορίαElectroencephalographyen
Βιβλιογραφική ΑναφοράT. A. Cassar, K. P. Camilleri, S. G. Fabri, M. Zervakis and S. Micheloyannis,"Window size analysis in ARMA-modeled spectral biomarkers for epileptic children,"in Sixth IASTED International Conference on Biomedical Engineering, 2008, pp. 58-63.en

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