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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.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01740209
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, March 21, 2018 - 4:24:00 PM
Last modification on : Wednesday, May 16, 2018 - 11:23:42 AM

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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⟩

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