Depth of anesthesia control using internal model control techniques

Anna, Shahab and Wen, Peng (2010) Depth of anesthesia control using internal model control techniques. In: 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010), 13-15 Jul 2010, Gold Coast, Australia.

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The major difficulty in the design of closed-loop control during anaesthesia is the inherent patient variability due to differences in demographic and drug tolerance. These
discrepancies are translated into the pharmacokinetics (PK),
and pharmacodynamics (PD). These uncertainties may affect
the stability of the closed loop control system. This paper aims at developing predictive controllers using Internal Model Control technique. This study develops patient dose-response models and to provide an adequate drug administration regimen for the anaesthesia to avoid under or over dosing of the patients. The controllers are designed to compensate for patients inherent drug response variability, to achieve the best output disturbance rejection, and to maintain optimal set point response. The results are evaluated compared with traditional PID controller and the performance is confirmed in our

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Author version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 21 Jul 2010 05:47
Last Modified: 14 Mar 2018 02:53
Uncontrolled Keywords: PID controller; anesthesia control depth; drug administration; drug response variability; internal model control; optimal set point response; patient dose-response models; pharmacodynamics; pharmacokinetics; predictive controllers
Fields of Research : 09 Engineering > 0903 Biomedical Engineering > 090302 Biomechanical Engineering
11 Medical and Health Sciences > 1115 Pharmacology and Pharmaceutical Sciences > 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
11 Medical and Health Sciences > 1103 Clinical Sciences > 110301 Anaesthesiology
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1109/ICCME.2010.5558825

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