Heart rate variability-derived features based on deep neural network for distinguishing different anaesthesia states

BACKGROUND: Estimating the depth of anaesthesia (DoA) is critical in modern anaesthetic practice. Multiple DoA monitors based on electroencephalograms (EEGs) have been widely used for DoA monitoring; however, these monitors may be inaccurate under certain conditions. In this work, we hypothesize tha...

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Detalles Bibliográficos
Autores principales: Zhan, Jian, Wu, Zhuo-xi, Duan, Zhen-xin, Yang, Gui-ying, Du, Zhi-yong, Bao, Xiao-hang, Li, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923817/
https://www.ncbi.nlm.nih.gov/pubmed/33653263
http://dx.doi.org/10.1186/s12871-021-01285-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923817/
https://www.ncbi.nlm.nih.gov/pubmed/33653263
http://dx.doi.org/10.1186/s12871-021-01285-x

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