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: © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
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 (2008): 09 Engineering > 0903 Biomedical Engineering > 090399 Biomedical Engineering not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/2956

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