A page-hinkley based method for HFOs detection in epileptic depth-EEG - Université de Rennes Access content directly
Conference Papers Year : 2017

A page-hinkley based method for HFOs detection in epileptic depth-EEG

Abstract

Interictal High Frequency Oscillations, (HFOs [30-600 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.

Dates and versions

hal-01740209 , version 1 (21-03-2018)

Identifiers

Cite

N. Jrad, A. Kachenoura, A. Nica, I. Merlet, F. Wendling. A page-hinkley based method for HFOs detection in epileptic depth-EEG. 25th European Signal Processing Conference, EUSIPCO 2017, Aug 2017, Kos, Greece. pp.1295-1299, ⟨10.23919/EUSIPCO.2017.8081417⟩. ⟨hal-01740209⟩
144 View
0 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More