An improved chaos method for monitoring the depth of anaesthesia
Paper
Paper/Presentation Title | An improved chaos method for monitoring the depth of anaesthesia |
---|---|
Presentation Type | Paper |
Authors | Nguyen-Ky, Tai (Author), Wen, Peng (Author) and Li, Yan (Author) |
Editors | Duc, Nguyen Minh and BenLetaief, Khaled |
Journal or Proceedings Title | Proceedings of the International Conference on Computing, Management and Telecommunications (ComManTel 2013) |
Number of Pages | 5 |
Year | 2013 |
Place of Publication | United States |
ISBN | 9781467320870 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ComManTel.2013.6482413 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/6482413 |
Conference/Event | International Conference on Computing, Management and Telecommunications (ComManTel 2013) |
Event Details | International Conference on Computing, Management and Telecommunications (ComManTel 2013) Event Date 21 to end of 24 Jan 2013 Event Location Ho Chi Minh City, Vietnam |
Abstract | This paper proposed a new method to monitor the depth of anaesthesia (DoA) by modifying the Hurst parameters in Chaos method. Two new indices (CDoA and CsDoA) are proposed to estimate the anaesthesia states of patients. In order to reduce the fluctuation of CDoA and CsDoA trends, the Chaos and Modified Detrended Average methods (C-MDMA) are combined together. Compared with Bispectrum (BIS) index, CDoA, the CsDoA and C-MDMA trends are close to the BIS trend in the whole scale from 100 to 0 with a full recording time. |
Keywords | chaos-modified detrended average method; C-MDMA; depth of anaesthesia; DoA; electroencephalogram; EEG |
ANZSRC Field of Research 2020 | 320602. Medical biotechnology diagnostics (incl. biosensors) |
490102. Biological mathematics | |
320201. Anaesthesiology | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Centre for Systems Biology |
Department of Mathematics and Computing | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1z0q/an-improved-chaos-method-for-monitoring-the-depth-of-anaesthesia
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