Diagnostic and prognostic EEG analysis of critically ill patients: A deep learning study

Visual interpretation of electroencephalography (EEG) is time consuming, may lack objectivity, and is restricted to features detectable by a human. Computer-based approaches, especially deep learning, could potentially overcome these limitations. However, most deep learning studies focus on a specif...

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Detalles Bibliográficos
Autores principales: Jonas, Stefan, Müller, Michael, Rossetti, Andrea O., Rüegg, Stephan, Alvarez, Vincent, Schindler, Kaspar, Zubler, Frédéric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441331/
https://www.ncbi.nlm.nih.gov/pubmed/36049354
http://dx.doi.org/10.1016/j.nicl.2022.103167

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441331/
https://www.ncbi.nlm.nih.gov/pubmed/36049354
http://dx.doi.org/10.1016/j.nicl.2022.103167

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