Nonlinear analysis of the electroencephalogram in depth of anesthesia

Nonlinear analysis of the electroencephalogram in depth of anesthesia

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Digital signal processing of the electroencephalogram (EEG) became important in monitoring depth of anesthesia (DoA) being used to provide a better anesthetic technique. The objective of this work was to conduct a review about nonlinear mathematical methods applied recently to the analyses of nonli...

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Bibliographic Details
Main Authors: Oscar Leonardo Mosquera-Dusan, Daniel Alfonso Botero-Rosas, Mauricio Cagy, Ruben Dario Henao-Idarraga
Format: Article
Language:English
Published: Universidad de Antioquia 2015-05-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
EEG features extraction
nonlinear complexity analyses
digital signal processing
depth of anesthesia monitoring
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/17958

Internet

https://revistas.udea.edu.co/index.php/ingenieria/article/view/17958

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