Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm

Seizure prediction might be the solution to tackle the apparent unpredictability of seizures in patients with drug-resistant epilepsy, which comprise about a third of all patients with epilepsy. Designing seizure prediction models involves defining the pre-ictal period, a transition stage between in...

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Bibliographic Details
Published in:	Scientific reports Vol. 12; no. 1; pp. 4420 - 15
Main Authors:	Pinto, Mauro, Coelho, Tiago, Leal, Adriana, Lopes, Fábio, Dourado, António, Martins, Pedro, Teixeira, César
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 15.03.2022 Nature Publishing Group Nature Portfolio
Subjects:	639/705/1046 692/699/375/178 Algorithms Convulsions & seizures Deep learning Drug resistance Drug Resistant Epilepsy - diagnosis EEG Electroencephalography - methods Epilepsy Humanities and Social Sciences Humans Machine learning multidisciplinary Patients Prediction models Science Science (multidisciplinary) Seizures Seizures - diagnosis
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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