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An approach for reliably identifying high-frequency oscillations and reducing false-positive detections (open access)

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

Article states that high-frequency oscillation (HFO), classified as ripples (80-240 Hz) and fast ripples (240-500 Hz), is regarded as a promising biomarker of epilepsy. The authors 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.
Date: September 2, 2022
Creator: Zhou, Yufeng; You, Jing; Kumar, Udaya; Weiss, Shennan A.; Bragin, Anatol; Engel Jr., Jerome et al.
System: The UNT Digital Library