Classification of high frequency oscillations in epileptic intracerebral EEG

TitreClassification of high frequency oscillations in epileptic intracerebral EEG
Type de publicationCommunications avec actes
Année de publication2015
Titre de la Conférence/colloque37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
Dates du congrès, colloque2015
Auteur(s)Jrad, N., Kachenoura A., Merlet I., Nica A., Bénar C. G. et Wendling F.
Université, EditeurIEEE
Ville, PaysMilan, Italy
Numéro ISBN978-1-4244-9271-8
Numéro ISSN1558-4615
Numéro d'accès15585888

High Frequency Oscillations (HFOs 40-500 Hz), recorded from intracerebral electroencephalography (iEEG) in epileptic patients, are categorized into four distinct sub-bands (Gamma, High-Gamma, Ripples and Fast Ripples). They have recently been used as a reliable biomarker of epileptogenic zones. The objective of this paper is to investigate the possibility of discriminating between the different classes of HFOs which physiological/pathological value is critical for diagnostic but remains to be clarified. The proposed method is based on the definition of a relevant feature vector built from energy ratios (computed using Wavelet Transform-WT) in a-priori-defined frequency bands. It makes use of a multiclass Linear Discriminant Analysis (LDA) and is applied to iEEG signals recorded in patients candidate to epilepsy surgery. Results obtained from bootstrap on training/test datasets indicate high performances in terms of sensitivity and specificity.