Prediction of seizure recurrence using electroencephalogram analysis with multiscale deep neural networks before withdrawal of antiepileptic drugs

Prediction of seizure recurrence using electroencephalogram analysis with multiscale deep neural networks before withdrawal of antiepileptic drugs

Background: The decision to continue or discontinue antiepileptic drug (AED) treatment in patients who are seizure free for a prolonged time is critical. Studies have used certain risk factors or electroencephalogram (EEG) findings to predict seizure recurrence after the withdrawal of AEDs. However,...

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Bibliographic Details
Main Authors: Lung-Chang Lin, Ming-Yuh Chang, Yi-Hung Chiu, Ching-Tai Chiang, Rong-Ching Wu, Rei-Cheng Yang, Chen-Sen Ouyang
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:Pediatrics and Neonatology
Subjects:
antiepileptic drug
multiscale deep neural networks
withdrawal
Online Access:http://www.sciencedirect.com/science/article/pii/S1875957222000468

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http://www.sciencedirect.com/science/article/pii/S1875957222000468

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