Identifying signal-dependent information about the preictal state: A comparison across ECoG, EEG and EKG using deep learning

BACKGROUND: The inability to reliably assess seizure risk is a major burden for epilepsy patients and prevents developing better treatments. Recent advances have paved the way for increasingly accurate seizure preictal state detection algorithms, primarily using electrocorticography (ECoG). To devel...

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Detalles Bibliográficos
Autores principales: Meisel, Christian, Bailey, Kimberlyn A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642360/
https://www.ncbi.nlm.nih.gov/pubmed/31300348
http://dx.doi.org/10.1016/j.ebiom.2019.07.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642360/
https://www.ncbi.nlm.nih.gov/pubmed/31300348
http://dx.doi.org/10.1016/j.ebiom.2019.07.001

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