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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pinto, Mauro, Coelho, Tiago, Leal, Adriana, Lopes, Fábio, Dourado, António, Martins, Pedro, Teixeira, César
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924190/
https://www.ncbi.nlm.nih.gov/pubmed/35292691
http://dx.doi.org/10.1038/s41598-022-08322-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924190/
https://www.ncbi.nlm.nih.gov/pubmed/35292691
http://dx.doi.org/10.1038/s41598-022-08322-w

Ejemplares similares