{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T06:33:17Z","timestamp":1759991597700},"reference-count":31,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"name":"University of Malta","award":["LBA-73-967"],"award-info":[{"award-number":["LBA-73-967"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2008]]},"abstract":"<jats:p>There is an important evidence of differences in the EEG frequency spectrum of control subjects as compared to epileptic subjects. In particular, the study of children presents difficulties due to the early stages of brain development and the various forms of epilepsy indications. In this study, we consider children that developed epileptic crises in the past but without any other clinical, psychological, or visible neurophysiological findings. The aim of the paper is to develop reliable techniques for testing if such controlled epilepsy induces related spectral differences in the EEG. Spectral features extracted by using nonparametric, signal representation techniques (Fourier and wavelet transform) and a parametric, signal modeling technique (ARMA) are compared and their effect on the classification of the two groups is analyzed. The subjects performed two different tasks: a control (rest) task and a relatively difficult math task. The results show that spectral features extracted by modeling the EEG signals recorded from individual channels by an ARMA model give a higher discrimination between the two subject groups for the control task, where classification scores of up to 100% were obtained with a linear discriminant classifier.<\/jats:p>","DOI":"10.1155\/2008\/462593","type":"journal-article","created":{"date-parts":[[2008,8,5]],"date-time":"2008-08-05T06:28:20Z","timestamp":1217917700000},"page":"1-15","source":"Crossref","is-referenced-by-count":13,"title":["Parametric and Nonparametric EEG Analysis for the Evaluation of EEG Activity in Young Children with Controlled Epilepsy"],"prefix":"10.1155","volume":"2008","author":[{"given":"Vangelis","family":"Sakkalis","sequence":"first","affiliation":[{"name":"Department of Electronic and Computer Engineering, Technical University of Crete, Chania 731 00, Greece"},{"name":"Institute of Computer Science, Foundation for Research and Technology, Heraklion 71110, Greece"}]},{"given":"Tracey","family":"Cassar","sequence":"additional","affiliation":[{"name":"iBERG: Department of Systems and Control Engineering, Faculty of Engineering, University of Malta, MSD 2080, Msida, Malta"}]},{"given":"Michalis","family":"Zervakis","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, Technical University of Crete, Chania 731 00, Greece"}]},{"given":"Kenneth P.","family":"Camilleri","sequence":"additional","affiliation":[{"name":"iBERG: Department of Systems and Control Engineering, Faculty of Engineering, University of Malta, MSD 2080, Msida, Malta"}]},{"given":"Simon G.","family":"Fabri","sequence":"additional","affiliation":[{"name":"iBERG: Department of Systems and Control Engineering, Faculty of Engineering, University of Malta, MSD 2080, Msida, Malta"}]},{"given":"Cristin","family":"Bigan","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Ecological University of Bucharest, 061341 Bucharest, Romania"}]},{"given":"Eleni","family":"Karakonstantaki","sequence":"additional","affiliation":[{"name":"Clinical Neurophysiology Laboratory (L. 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