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Prediction of the Epileptic Events 'Epileptic Seizures ' by Neural Networks and Expert Systems

By Kifah Tout, Nisrine Sinno and Mohamad Mikati

Abstract

Abstract—Many studies have focused on the nonlinear analysis of electroencephalography (EEG) mainly for the characterization of epileptic brain states. It is assumed that at least two states of the epileptic brain are possible: the interictal state characterized by a normal apparently random, steady-state EEG ongoing activity; and the ictal state that is characterized by paroxysmal occurrence of synchronous oscillations and is generally called in neurology, a seizure. The spatial and temporal dynamics of the epileptogenic process is still not clear completely especially the most challenging aspects of epileptology which is the anticipation of the seizure. Despite all the efforts we still don’t know how and when and why the seizure occurs. However actual studies bring strong evidence that the interictal-ictal state transition is not an abrupt phenomena. Findings also indicate that it is possible to detect a preseizure phase

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.193.6238
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