Automation for Regulation of Deep Hypnosis by Delivery of Propofol and Remifentanil
2023 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)（2023）
Abstract
The deep of hypnosis regulation has been studied for several years to help and assist the anesthesiologist in various general surgery processes. The present contribution presents a scheme for automating this process considering the infusion of two drugs, remifentanil, and propofol, as control variables and the bispectral index as the output variable. A description of virtual compartment-based dynamical modeling for both drugs is presented. Using this model, a proposal for closed-loop regulation based on a discrete model predictive control is presented. The proposed algorithm is tested in twelve virtual male patients, where the controller simulates and rejects two types of disturbances.
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Key words
Control Variables,Output Variables,General Surgery,Model Predictive Control,Types Of Disturbances,Virtual Patients,Discrete Control,Mathematical Model,Pharmacodynamic,Control Design,Lean Mass,Independent Model,Block Diagonal,Prediction Horizon,Constrained Optimization Problem,Pharmacokinetic Model,Discrete Function,Drug Infusion,Model Predictive Control Algorithm,Theoretical Concentration,Maintenance Stage,Propofol Infusion,Pharmacodynamic Model,Augmented State
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