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Evaluation of Anesthesia Depth Via Eeg Using Wavelet Energy



Mardani M1 ; Dehnavi AM2 ; Pourghassem H1
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Authors Affiliations
  1. 1. Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
  2. 2. Biomedical Engineering Department, Isfahan University of Medical Sciences, Iran

Source: International Review on Computers and Software Published:2012

Abstract

During surgical operation the depth of anesthesia is a major issue. Because the effect of anesthetic drugs is on central nervous system (NCS), we can estimate it by using brain signals received from anesthetized patients and extracting their suitable features. EEG signals are dynamic and non-static. Wavelet transform, because of its unique features can be very useful in time-frequency analyze and it can extract suitable features. In this research, a new method is represented to estimate depth of anesthesia using wavelet transform and neural networks. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.
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