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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2020
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| Materias: | |
| 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 |