The design and investigation of model based internal model control for the regulation of hypnosis
Paper
Paper/Presentation Title | The design and investigation of model based internal model control for the regulation of hypnosis |
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Presentation Type | Paper |
Authors | Abdulla, Shahab (Author), Wen, Peng (Author) and Xiang, Wei (Author) |
Editors | Kuo, Way, Tsui, Lap Chee and Sung, Jao Yiu |
Journal or Proceedings Title | Proceedings of the 4th International Conference on Nano/Molecular Medicine and Engineering (IEEE-NANOMED 2010) |
Number of Pages | 6 |
Year | 2010 |
Place of Publication | Hong Kong |
ISBN | 9781612841540 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/NANOMED.2010.5749833 |
Conference/Event | IEEE/NANOMED 2010: Promoting Good Health with Nanotechnology |
Event Details | IEEE/NANOMED 2010: Promoting Good Health with Nanotechnology Event Date 05 to end of 09 Dec 2010 Event Location Hong Kong, China |
Abstract | The manual control of anaesthesia is still the dominant practice during surgery. An increasing number of studies have been conducted to explore the possibility of automating this process. 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 differences in pharmacokinetics (PK), and pharmacodynamics (PD). This study develops patient dose-response models and provides 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 and compared with traditional PID controller. The performance is confirmed in our simulation. |
Keywords | internal model control; depth of anaesthesia; PID controller; anaesthesia control; closed loop control; drug response variability; drug tolerance; hypnosis regulation; inherent patient variability; model-based internal model control; optimal set point response; output disturbance rejection; patient dose-response models; pharmacodynamics; pharmacokinetics; surgery; brain modeling; plasmas |
ANZSRC Field of Research 2020 | 400303. Biomechanical engineering |
490102. Biological mathematics | |
320201. Anaesthesiology | |
Public Notes | © 2010 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 | Faculty of Engineering and Surveying |
Department of Electrical, Electronic and Computer Engineering |
https://research.usq.edu.au/item/q0336/the-design-and-investigation-of-model-based-internal-model-control-for-the-regulation-of-hypnosis
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