Monitoring Depth of Anesthesia Based on Hybrid Features and Recurrent Neural Network

Electroencephalogram (EEG) signals contain valuable information about the different physiological states of the brain, with a variety of linear and nonlinear features that can be used to investigate brain activity. Monitoring the depth of anesthesia (DoA) with EEG is an ongoing challenge in anesthes...

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Detalles Bibliográficos
Autores principales: Li, Ronglin, Wu, Qiang, Liu, Ju, Wu, Qi, Li, Chao, Zhao, Qibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020827/
https://www.ncbi.nlm.nih.gov/pubmed/32116494
http://dx.doi.org/10.3389/fnins.2020.00026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020827/
https://www.ncbi.nlm.nih.gov/pubmed/32116494
http://dx.doi.org/10.3389/fnins.2020.00026

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