A Page-Hinkley based method for HFOs detection in epileptic depth-EEG

TitreA Page-Hinkley based method for HFOs detection in epileptic depth-EEG
Type de publicationCommunications avec actes
Année de publication2017
Titre de la Conférence/colloque25th European Signal Processing Conference (EUSIPCO), 2017
Langueeng
Auteur(s)Jrad, N., Kachenoura A., Nica A., Merlet I. et Wendling F.
Université, organismeIEEE
Ville, PaysKos, Greece
Numéro ISBN978-0-9928626-7-1
Numéro d'accès 17290308
Autres numéro2076-1465
Mots-clésAbrupt change, Cumulative Sum test, epilepsy, Gabor Transform, interictal High Frequency Oscillations, intracerebral electroencephalo-graphy, Page-Hinkley algorithm
Résumé

Interictal High Frequency Oscillations, (HFOs [30600 Hz]), recorded from intracerebral electroencephalo-graphy (iEEG) in epileptic brain, showed to be potential biomarkers of epilepsy. Hence, their automatic detection has become a subject of high interest. So far, all detection algorithms consisted of comparing HFOs energy, computed in bands of interest, to a threshold. In this paper, a sequential technique was investigated. Detection was based on a variant of the Cumulative Sum (CUSUM) test, the so-called Page-Hinkley algorithm showing optimal results for detecting abrupt changes in the mean of a normal random signal. Experiments on simulated and real datasets showed the good performance of the method in terms of sensitivity and false detection rate. Compared to the classical thresholding, Page-Hinkley showed better performance.

URLhttp://ieeexplore.ieee.org/abstract/document/8081417/
DOI10.23919/EUSIPCO.2017.8081417