Depth of anaesthesia patient models and control

Abdulla, Shahab and Wen, Peng (2011) Depth of anaesthesia patient models and control. In: 2011 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2011), 22-25 May 2011 , Harbin, China .

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During surgery, the anaesthetist carefully controls the delivery of anaesthesia given to the patient in an effort to attain and maintain a consistent and adequate level of anaesthetic depth. The aim of this work is to design an internal model control (IMC) for anaesthesia depth, and to test it by simulation with clinical data. This study uses an internal model control structure for the adjustment of Bispectral Index (BIS). Performance of the two controllers has been studied for a step change in BIS, measured disturbances in the measured variables. In this study the simulation shows that the internal model control performed better than the PID controller.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2011 IEEE. Permanent restricted access to published version due to publisher copyright policy. Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 31 May 2011 03:52
Last Modified: 14 Mar 2018 02:57
Uncontrolled Keywords: internal model control; depth of anaesthesia; anaesthesiology; biomedical engineering; computer simulation; model predictive control; proportional control systems
Fields of Research : 09 Engineering > 0903 Biomedical Engineering > 090302 Biomechanical Engineering
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
11 Medical and Health Sciences > 1103 Clinical Sciences > 110301 Anaesthesiology
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
Identification Number or DOI: 10.1109/ICCME.2011.5876701

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