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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| 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
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| Series: | Pediatrics and Neonatology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1875957222000468 |
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