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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...
Autores principales: | Kamousi, Baharan, Karunakaran, Suganya, Gururangan, Kapil, Markert, Matthew, Decker, Barbara, Khankhanian, Pouya, Mainardi, Laura, Quinn, James, Woo, Raymond, Parvizi, Josef |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
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 |
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