Deep learning for EEG-based prognostication after cardiac arrest: from current research to future clinical applications

Outcome prognostication in comatose patients after cardiac arrest (CA) remains to date a challenge. The major determinant of clinical outcome is the post-hypoxic/ischemic encephalopathy. Electroencephalography (EEG) is routinely used to assess neural functions in comatose patients. Currently, EEG-ba...

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Detalles Bibliográficos
Autores principales: Zubler, Frederic, Tzovara, Athina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408678/
https://www.ncbi.nlm.nih.gov/pubmed/37560450
http://dx.doi.org/10.3389/fneur.2023.1183810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408678/
https://www.ncbi.nlm.nih.gov/pubmed/37560450
http://dx.doi.org/10.3389/fneur.2023.1183810

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