Frontal electroencephalogram based drug, sex, and age independent sedation level prediction using non-linear machine learning algorithms

Brain monitors which track quantitative electroencephalogram (EEG) signatures to monitor sedation levels are drug and patient specific. There is a need for robust sedation level monitoring systems to accurately track sedation levels across all drug classes, sex and age groups. Forty-four quantitativ...

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Detalles Bibliográficos
Autores principales: Ramaswamy, S. M., Kuizenga, M. H., Weerink, M. A. S., Vereecke, H. E. M., Struys, M. M. R. F., Belur Nagaraj, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734899/
https://www.ncbi.nlm.nih.gov/pubmed/33315176
http://dx.doi.org/10.1007/s10877-020-00627-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734899/
https://www.ncbi.nlm.nih.gov/pubmed/33315176
http://dx.doi.org/10.1007/s10877-020-00627-3

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