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The aim of this paper is to develop an automated system for epileptic seizure prediction from intracranial EEG signals based on Hilbert-Huang transform (HHT) and Bayesian classifiers. Proposed system includes decomposition of the signals into intrinsic mode functions for obtaining features and use of Bayesian networks with correlation based feature(More)
We certify that the thesis titled above was reviewed and approved for the award of degree of the Doctor of Philosophy by the board of jury on 02/12/2011. Not:The usage of the presented specific declerations, tables, figures, and photographs either in this thesis or in any other reference without citiation is subject to "The law of Arts and Intellectual(More)
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