A comparison between detectors of high frequency oscillations.

ABSTRACT:

Objective

High frequency oscillations (HFOs) are a biomarker of epileptogenicity. Visual marking of HFOs is highly time-consuming and inevitably subjective, making automatic detection necessary. We compare four existing detectors on the same dataset.

Methods

HFOs and baselines were identified by experienced reviewers in intracerebral EEGs from 20 patients. A new feature of our detector to deal with channels where baseline cannot be found is presented. The original and an optimal configuration are implemented. Receiver operator curves, false discovery rate, and channel ranking are used to evaluate performance.

Results

All detectors improve performance with the optimal configuration. Our detector had higher sensitivity, lower false positives than the others, and similar

SUBMITTER: Zelmann R 

PROVIDER: S-EPMC3782488 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature