Double-Step Machine Learning Based Procedure for HFOs Detection and Classification

Double-Step Machine Learning Based Procedure for HFOs Detection and Classification

The need for automatic detection and classification of high-frequency oscillations (HFOs) as biomarkers of the epileptogenic tissue is strongly felt in the clinical field. In this context, the employment of artificial intelligence methods could be the missing piece to achieve this goal. This work pr...

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Bibliographic Details
Main Authors: Nicolina Sciaraffa, Manousos A. Klados, Gianluca Borghini, Gianluca Di Flumeri, Fabio Babiloni, Pietro Aricò
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Brain Sciences
Subjects:
high-frequency oscillations
HFO
machine learning
epilepsy
intracranial EEG
Online Access:https://www.mdpi.com/2076-3425/10/4/220

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