Modelling and indentification for the action of propofol and remifentanil on the BIS level

Silva, Jorge; Noé, Alberto Sancho; Mendonça, Teresa; Rocha, Paula

doi:10.1016/j.ifacol.2020.12.609

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…The effect that this interaction has on DoH has also been well described in a pharmacokinetic/pharmacodynamic (PK/PD) model using the generalization of the Hill function to a surface. Among different parametrization techniques for the interaction surface model, the most accepted in the literature has been developed in [18][19][20][21][22][23]. This model shows that the same BIS can be obtained with different combinations of propofol and remifentanil dosages.…”

Section: Introductionmentioning

confidence: 99%

Model predictive control using MISO approach for drug co-administration in anesthesia

Pawłowski

Schiavo²,

Latronico³

et al. 2022

Journal of Process Control

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Section: Introductionmentioning

confidence: 99%

Model predictive control using MISO approach for drug co-administration in anesthesia

Pawłowski

Schiavo²,

Latronico³

et al. 2022

Journal of Process Control

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Multivariable discrete MPC with exponential cost function on the automation of the anesthesia process

Sandre‐Hernandez,

Ramírez‐Barrios,

Ordaz

et al. 2023

Intl J Robust & Nonlinear

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The automation of the delivery of anesthesia infusion rate in a general medical procedure consists of calculating the adequate infusion to regulate a patient's hypnosis state. In this procedure, the patient model has been considered as a Single‐Input Single‐Output system. However, the anesthesiologist introduces other medications, such as analgesics. Therefore, this contribution considers a closed‐loop formulation with two drugs as input control variables: propofol as an anesthetic, and remifentanil as an analgesic. Then, through the mathematical model description, this paper introduces a multiple‐input and multiple‐output (MIMO) model predictive control (MPC) to regulate the deep of hypnosis (DOH) based on the co‐administration of propofol and remifentanil. Since the control variables must be positive during the procedure, the MPC is formulated as a constrained optimization problem. Quadratic programming solves the optimization problem by designing and developing an exponential cost function, which allows the rapid convergence of the MPC optimization algorithm. Finally, the proposed MPC formulation is tested on 12 patients in silico, simulating a 60‐min general surgery. The simulated results verify the performance of the proposed MPC.

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Control of the Depth of Anesthesia Using a New Model for the Action of Propofol and Remifentanil on the BIS Level

Silva

Mendonça

Rocha

2020

Lecture Notes in Electrical Engineering

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Modelling and indentification for the action of propofol and remifentanil on the BIS level

Cited by 5 publications

References 14 publications

Model predictive control using MISO approach for drug co-administration in anesthesia

Model predictive control using MISO approach for drug co-administration in anesthesia

Multivariable discrete MPC with exponential cost function on the automation of the anesthesia process

Control of the Depth of Anesthesia Using a New Model for the Action of Propofol and Remifentanil on the BIS Level

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