Deep Learning for the Prediction of Time-to-Seizure in Epilepsy using Routine EEG (P3-9.003)

To develop and validate a deep learning model to predict time-to-seizure in patients with epilepsy (PWE) from routine EEG.

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Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000209122
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep Learning for the Prediction of Time-to-Seizure in Epilepsy using Routine EEG (P3-9.003)

Elie Bou Assi, Émile Lemoine, Frédéric Lesage, Dang Khoa Nguyen
Neurology
EEG and Brain-Computer Interfaces
article

Deep Learning for the Prediction of Time-to-Seizure in Epilepsy using Routine EEG (P3-9.003)

Elie Bou Assi, Émile Lemoine, Frédéric Lesage, Dang Khoa Nguyen
article en

Abstract

To develop and validate a deep learning model to predict time-to-seizure in patients with epilepsy (PWE) from routine EEG.

NeurologyVol. 104(7_Supplement_1)
Polytechnique Montréal (CA), Université de Montréal (CA)
Openalex Percentile: Top 94%
EEG and Brain-Computer Interfaces
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