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Machine learning for a combined electroencephalographic anesthesia index to detect awareness under anesthesia
Spontaneous electroencephalogram (EEG) and auditory evoked potentials (AEP) have been suggested to monitor the level of consciousness during anesthesia. As both signals reflect different neuronal pathways, a combination of parameters from both signals may provide broader information about the brain...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7449480/ https://ncbi.nlm.nih.gov/pubmed/32845935 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0238249 |
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