Monitoring the Burden of Seizures and Highly Epileptiform Patterns in Critical Care with a Novel Machine Learning Method

INTRODUCTION: Current electroencephalography (EEG) practice relies on interpretation by expert neurologists, which introduces diagnostic and therapeutic delays that can impact patients’ clinical outcomes. As EEG practice expands, these experts are becoming increasingly limited resources. A highly se...

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Detalles Bibliográficos
Autores principales: Kamousi, Baharan, Karunakaran, Suganya, Gururangan, Kapil, Markert, Matthew, Decker, Barbara, Khankhanian, Pouya, Mainardi, Laura, Quinn, James, Woo, Raymond, Parvizi, Josef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Original work (Clinical Investigation, Basic Science)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021593/
https://www.ncbi.nlm.nih.gov/pubmed/33025543
http://dx.doi.org/10.1007/s12028-020-01120-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021593/
https://www.ncbi.nlm.nih.gov/pubmed/33025543
http://dx.doi.org/10.1007/s12028-020-01120-0

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