An approach for reliably identifying high-frequency oscillations and reducing false-positive detections.

ABSTRACT:

Objective

Aiming to improve the feasibility and reliability of using high-frequency oscillations (HFOs) for translational studies of epilepsy, we present a pipeline with features specifically designed to reject false positives for HFOs to improve the automatic HFO detector.

Methods

We presented an integrated, multi-layered procedure capable of automatically rejecting HFOs from a variety of common false positives, such as motion, background signals, and sharp transients. This method utilizes a time-frequency contour approach that embeds three different layers including peak constraints, power thresholds, and morphological identification to discard false positives. Four experts were involved in rating detected HFO events that were randomly selected from different posttraumatic

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC9712470 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature