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Automated Detection of Ripple Oscillations in Long-Term Scalp EEG from Patients with Infantile Spasms
[article]
2020
bioRxiv
pre-print
Objective: Scalp high frequency oscillations (HFOs) are a promising biomarker of epileptogenicity in infantile spasms (IS) and many other epilepsy syndromes, but prior studies have relied on visual analysis of short segments of data due to the prevalence of artifacts in EEG. Therefore, we set out to develop a fully automated method of HFO detection that can be applied to large datasets, and we sought to robustly characterize the rate and spatial distribution of HFOs in IS. Methods: We
doi:10.1101/2020.06.03.132183
fatcat:6nxjsuhx6zfavjukphpacxddse