Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia

Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia

The electroencephalogram (EEG) can reflect brain activity and contains abundant information of different anesthetic states of the brain. It has been widely used for monitoring depth of anesthesia (DoA). In this study, we propose a method that combines multiple EEG-based features with artificial neur...

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Bibliographic Details
Main Authors: Yue Gu, Zhenhu Liang, Satoshi Hagihira
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
depth of anesthesia
electroencephalogram
bispectral index
artificial neural network
Online Access:https://www.mdpi.com/1424-8220/19/11/2499

Internet

https://www.mdpi.com/1424-8220/19/11/2499

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