A multi-frame network model for predicting seizure based on sEEG and iEEG data

A multi-frame network model for predicting seizure based on sEEG and iEEG data

IntroductionAnalysis and prediction of seizures by processing the EEG signals could assist doctors in accurate diagnosis and improve the quality of the patient's life with epilepsy. Nowadays, seizure prediction models based on deep learning have become one of the most popular topics in seizure...

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Bibliographic Details
Main Authors: Liangfu Lu, Feng Zhang, Yubo Wu, Songnan Ma, Xin Zhang, Guangjian Ni
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Computational Neuroscience
Subjects:
deep learning
EEG
multi-frame network
seizure prediction
feature extraction
pre-ictal
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2022.1059565/full

Internet

https://www.frontiersin.org/articles/10.3389/fncom.2022.1059565/full

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