Event‐based control tuning of propofol and remifentanil coadministration for general anaesthesia. Issue 19 (18th January 2021)

• Record Type: Journal Article
• Authors: Merigo, Luca; Padula, Fabrizio; Latronico, Nicola; Paltenghi, Massimiliano; Visioli, Antonio
• Is Part Of: IET control theory & applications. Volume 14:Issue 19(2020)
• Page Start: 2995
• Page End: 3008
• Publication Date: 2021-01-18
• Subjects: drugs -- three‐term control -- closed loop systems -- minimax techniques -- Monte Carlo methods -- medical control systems -- robust control -- distributed control -- control system synthesis -- predictive control; event‐based control tuning -- remifentanil coadministration -- general anaesthesia -- robust tuning rules -- event‐based control architecture -- automatic regulation -- propofol coadministration -- control variables -- bispectral index -- controlled variable -- PIDPlus controller -- event generator -- min–max optimisation problem -- interpatient variability -- Monte Carlo method -- intrapatient variability; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2019.1067
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : In this study, the authors present robust tuning rules for an event‐based control architecture for the automatic regulation of the depth of hypnosis in anaesthesia. The authors' control system uses propofol and remifentanil coadministration as control variables and the bispectral index as controlled variable. The control system is based on a PIDPlus controller combined with an event generator that detects significant variations of the BIS signal, thus providing strong filtering of the noise. A fixed ratio between the drug infusions allows the anaesthesiologist to explicitly regulate the opioid–hypnotic balance of the anaesthesia. The tuning rules are developed by solving a min–max optimisation problem that optimises the worst‐case scenario over a given data set of patient models. A gain scheduling strategy yields optimal performance in both the induction and the maintenance phases of anaesthesia. Finally, through the Monte Carlo method, they validate the effectiveness of the proposed approach on a general population, and the robustness to the intra‐ and inter‐patient variability for different infusion balances.