Prediction of epileptic seizures using accumulated energy in a kindling hipocampal epilepsy model

AGUSTINA M. PORTU , YAMILA R. JULIO , SILVIA GIGOLA , CARLOS E. D’ATTELLIS , SILVIA KOCHEN, CAROLINA ANESSI , MARISA BARROSO JULIA FRANGELLA

ELSEVIER SCIENCE B. V.

Año: 2007

Records of electrical activity from kindling model in hippocampal epilepsy in rat winstar. EEG are analyzed to predict the seizures epileptic seizure onset. A method based on the evolution of the accumulated energy using wavelet analysis is introduced. This is an efficient method o predict epileptic seizures: from 13 preseizure signals, the seizure onset in 12 of those are predicted.