Identification of Epileptogenic and Non-epileptogenic High-Frequency Oscillations Using a Multi-Feature Convolutional Neural Network Model

Identification of Epileptogenic and Non-epileptogenic High-Frequency Oscillations Using a Multi-Feature Convolutional Neural Network Model

Accurately identifying epileptogenic zone (EZ) using high-frequency oscillations (HFOs) is a challenge that must be mastered to transfer HFOs into clinical use. We analyzed the ability of a convolutional neural network (CNN) model to distinguish EZ and non-EZ HFOs. Nineteen medically intractable epi...

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Bibliographic Details
Main Authors: Guoping Ren, Yueqian Sun, Dan Wang, Jiechuan Ren, Jindong Dai, Shanshan Mei, Yunlin Li, Xiaofei Wang, Xiaofeng Yang, Jiaqing Yan, Qun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Neurology
Subjects:
high frequency oscillations
epileptogenic zone
convolutional neural network
adjusted smoothed pseudo Wigner–Ville distribution
refractory focal epilepsy
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.640526/full

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https://www.frontiersin.org/articles/10.3389/fneur.2021.640526/full

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