The challenge in this project has been to develop intelligent automatic control of drug delivery systems such as anaesthesia regulation during surgical procedures.
These systems need to control the infusion and concentration rates of different drugs into the patient’s body, Different patients have different physiological characteristics, medical conditions and and would be undergoing different types of surgical procedures.
Such systems need to monitor and maintain safe operational physiological set points for patients while contending with different uncertainties such as:
This project has developed new adaptive soft computing approaches based on Type-2 Self Organising Fuzzy Logic Controllers (SOFLCs) and in combination with other computational intelligence techniques.
We have already applied our approach to simulate a multivariable aesthesia monitoring and drug delivery system. Such a system can be used as part of an embedded methodology for autonomous drug delivery and training.
This research project is in collaboration with Department of Mechanical Engineering, Yuan Ze University and the Department of Anesthesiology, National Taiwan University Hospital, Taiwan.
Z. Wei, F. Doctor, Y. Liu, S. Fan and J. Shieh, "An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS" in IEEE Transactions on Fuzzy Systems, vol. 28, no. 6, pp. 1062-1072, June 2020.
Principal InvestigatorSchool of Computer Science and Electronic Engineering, University of Essex
Principal InvestigatorDepartment of Mechanical Engineering, Yuan Ze University, Taiwan