Accurately monitoring the depth of anaesthesia using an intelligent method

Li, Yingchun and Wang, Zicong and Wen, Peng and Meng, Max Q.-H. (2007) Accurately monitoring the depth of anaesthesia using an intelligent method. In: 2007 IEEE/ICM International Conference on Complex Medical Engineering (CME 2007), 23-27 May 2007, Beijing, China.

Abstract

[Abstract]: This paper introduces the development of a monitoring system to depth of anaesthesia in a surgery. We first developed the Audiory Evoked Potential (AEP) method and the bispectrium method. Then we combined them together using a off-line trained neural networks. The preliminary results show that our calculated index is closely relative to the depth of anaesthesia.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version due to publisher copyright policy.
Depositing User: Dr Paul Wen
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 12 Dec 2007 05:58
Last Modified: 02 Jul 2013 22:48
Uncontrolled Keywords: anaesthesia, depth of anaesthesia, EEG, ANN, bispectrum
Fields of Research (FOR2008): 09 Engineering > 0903 Biomedical Engineering > 090399 Biomedical Engineering not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/2956

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