Deep Convolutional Neural Network Based Interictal-Preictal Electroencephalography Prediction: Application to Focal Cortical Dysplasia Type-II

We aimed to differentiate between the interictal and preictal states in epilepsy patients with focal cortical dysplasia (FCD) type-II using deep learning-based classifiers based on intracranial electroencephalography (EEG). We also investigated the practical conditions for high interictal-preictal d...

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Detalles Bibliográficos
Autores principales: Chung, Yoon Gi, Jeon, Yonghoon, Choi, Sun Ah, Cho, Anna, Kim, Hunmin, Hwang, Hee, Kim, Ki Joong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674929/
https://www.ncbi.nlm.nih.gov/pubmed/33250854
http://dx.doi.org/10.3389/fneur.2020.594679

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674929/
https://www.ncbi.nlm.nih.gov/pubmed/33250854
http://dx.doi.org/10.3389/fneur.2020.594679

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