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Estimating the Depth of Anesthesia from EEG Signals Based on a Deep Residual Shrinkage Network

The reliable monitoring of the depth of anesthesia (DoA) is essential to control the anesthesia procedure. Electroencephalography (EEG) has been widely used to estimate DoA since EEG could reflect the effect of anesthetic drugs on the central nervous system (CNS). In this study, we propose that a de...

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Principais autores: Meng Shi, Ziyu Huang, Guowen Xiao, Bowen Xu, Quansheng Ren, Hong Zhao
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2023-01-01
סדרה:Sensors
נושאים:
deep learning
depth of anesthesia
electroencephalogram
patient state index
גישה מקוונת:https://www.mdpi.com/1424-8220/23/2/1008
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