Nguyen-Ky, T. and Wen, Peng and Li, Yan (2009) Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation. Computers in Biology and Medicine, 39 (1). pp. 40-45. ISSN 0010-4825
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Official URL: http://dx.doi.org/10.1016/j.compbiomed.2008.10.007
Identification Number or DOI: doi: 10.1016/j.compbiomed.2008.10.007
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.
| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Additional Information: | Awaiting Author's version which may be deposited in accordance with the copyright conditions of the publisher (Elsevier). |
| Uncontrolled Keywords: | depth of anesthesia; EEG; detrended fluctuation analysis; FFT |
| Fields of Research (FOR2008): | 01 Mathematical Sciences > 0101 Pure Mathematics > 010106 Lie Groups, Harmonic and Fourier Analysis 09 Engineering > 0903 Biomedical Engineering > 090303 Biomedical Instrumentation 11 Medical and Health Sciences > 1103 Clinical Sciences > 110301 Anaesthesiology |
| Subjects: | 290000 Engineering and Technology > 291500 Biomedical Engineering |
| Socio-Economic Objective (SEO2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970111 Expanding Knowledge in the Medical and Health Sciences |
| ID Code: | 4878 |
| Deposited By: | |
| Deposited On: | 28 Jan 2009 11:43 |
| Last Modified: | 02 Oct 2012 16:25 |
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