Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation
Article
Article Title | Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation |
---|---|
ERA Journal ID | 5040 |
Article Category | Article |
Authors | Nguyen-Ky, T. (Author), Wen, Peng (Author) and Li, Yan (Author) |
Journal Title | Computers in Biology and Medicine |
Journal Citation | 39 (1), pp. 40-45 |
Number of Pages | 6 |
Year | 2009 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 0010-4825 |
1879-0534 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.compbiomed.2008.10.007 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0010482508001546 |
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. |
Keywords | depth of anesthesia; EEG; detrended fluctuation analysis; FFT |
ANZSRC Field of Research 2020 | 490406. Lie groups, harmonic and Fourier analysis |
400305. Biomedical instrumentation | |
320201. Anaesthesiology | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Department of Electrical, Electronic and Computer Engineering |
Department of Mathematics and Computing |
https://research.usq.edu.au/item/9yyv6/theoretical-basis-for-identification-of-different-anesthetic-states-based-on-routinely-recorded-eeg-during-operation
2224
total views12
total downloads1
views this month0
downloads this month