Prediction of epileptic seizures using accumulated energy in a multiresolution framework

GIGOLA S., ORTIZ F., D'ATTELLIS C.E., SILVA W., KOCHEN S.

JOURNAL OF NEUROSCIENCE METHODS

Elsevier

Año: 2004 vol. 138 p. 107 - 111

0165-0270

Records of brain electrical activity from intracranial EEG of four patients with different types of epilepsy are analyzed to predict the epileptic seizure onset. A method based on the evolution of the accumulated energy using wavelet analysis is introduced. This is an efficient method to predict epileptic seizures: from 13 preseizure signals, the seizure onset in 12 of those are predicted.