Mahfouf, MahdiNunes, Catarina S.Linkens, Derek A.Peacock, John E.2023-05-292023-05-292005Mahfouf, M., C.S. Nunes, D. Linkens, and J. Peacock (2005) "Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms: Part II- closed-loop control of simultaneous administration of propofol and remifentanil," Artificial Intelligence in Medicine, 35(3): 207-213.1873-2860http://hdl.handle.net/10400.2/13873Objective: Part II of this research study is concerned with the development of a closed-loop simulation linking the patient model as well as the fuzzy relational classifier already introduced in Part I with a control algorithm. The overall architecture is in fact a system advisor, which provides information to the anaesthetist about the adequate infusion-rates of propofol and remifentanil simultaneously. Methods and material: The developed fuzzy multivariable controller includes three rule-bases and takes into account the synergetic interactions between the above drugs and uses such knowledge to achieve rapidly the desired depth of anaesthesia (DOA) level. Results: The result of the study is a closed-loop control scheme, which adjusts efficiently the infusion-rates of two drugs in response to DOA changes. This controller can either be used in an advisory mode or closed-loop feedback mode in the operating theatre during surgery. Conclusion: It is hoped that this control scheme coupled with the patient model presented in Part I of this study will be used routinely in the operating theatre in the very near future.engPatient modelAnaesthesiaAnalgesiaFuzzy logicFeedback controlMultivariablejournal article10.1016/j.artmed.2004.12.005