Accurately monitoring the depth of anaesthesia using an intelligent method
Paper
Paper/Presentation Title | Accurately monitoring the depth of anaesthesia using an intelligent method |
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Presentation Type | Paper |
Authors | Li, Yingchun (Author), Wang, Zicong (Author), Wen, Peng (Author) and Meng, Max Q.-H. (Author) |
Journal or Proceedings Title | Proceedings of the 2007 IEEE/ICM International Conference on Complex Medical Engineering (CME 2007) |
Number of Pages | 4 |
Year | 2007 |
Place of Publication | Beijing, China |
ISBN | 1424410789 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICCME.2007.4381761 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/4381761 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/4381672/proceeding |
Conference/Event | 2007 IEEE/ICM International Conference on Complex Medical Engineering (CME 2007) |
Event Details | 2007 IEEE/ICM International Conference on Complex Medical Engineering (CME 2007) Event Date 23 to end of 27 May 2007 Event Location Beijing, China |
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. |
Keywords | anaesthesia, depth of anaesthesia, EEG, ANN, bispectrum |
ANZSRC Field of Research 2020 | 400399. Biomedical engineering not elsewhere classified |
Public Notes | © 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. |
Byline Affiliations | Shenzhen Institute of Advanced Technology, China |
Department of Electrical, Electronic and Computer Engineering | |
Chinese University of Hong Kong, China |
https://research.usq.edu.au/item/9y515/accurately-monitoring-the-depth-of-anaesthesia-using-an-intelligent-method
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