Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation

Authors:
T. Nguyen-Ky;Peng Wen;Yan Li
Affiliations:
University of Southern Queensland, Toowoomba QLD 4350, Australia;University of Southern Queensland, Toowoomba QLD 4350, Australia;University of Southern Queensland, Toowoomba QLD 4350, Australia
Venue:
Computers in Biology and Medicine
Year:
2009

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Abstract

In this paper, we present a new method to identify anesthetic states based on routinely recorded electroencephalogram (EEG). The identification of anesthesia stages are conducted using fast Fourier transform (FFT) and modified detrended fluctuation analysis (DFA) method. Simulation results demonstrate that this new method can clearly discriminate all five anesthesia states: very deep anesthesia, deep anesthesia, moderate anesthesia, light anesthesia and awake.