Auditory stimulation and deep learning predict awakening from coma after cardiac arrest

Assessing the integrity of neural functions in coma after cardiac arrest remains an open challenge. Prognostication of coma outcome relies mainly on visual expert scoring of physiological signals, which is prone to subjectivity and leaves a considerable number of patients in a ‘grey zone’, with unce...

Descripción completa

Detalles Bibliográficos
Autores principales: Aellen, Florence M, Alnes, Sigurd L, Loosli, Fabian, Rossetti, Andrea O, Zubler, Frédéric, De Lucia, Marzia, Tzovara, Athina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924902/
https://www.ncbi.nlm.nih.gov/pubmed/36637902
http://dx.doi.org/10.1093/brain/awac340

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924902/
https://www.ncbi.nlm.nih.gov/pubmed/36637902
http://dx.doi.org/10.1093/brain/awac340

Ejemplares similares