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

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

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Pawlowski A. / Schiavo M. / Latronico N. / Paltenghi M. / Visioli A.

In this paper, a model predictive control system for the depth of hypnosis is proposed and analyzed. This approach considers simultaneous co-administration of the hypnotic and analgesic drugs and their effect on the Bispectral Index Scale (BIS). The control scheme uses the nonlinear multiple-input–single-output (MISO) model to predict the remifentanil influence over the propofol hypnotic effect. Then, it exploits a generalized model predictive control algorithm and a ratio between the two drugs in order to provide the optimal dosage for the desired BIS level, taking into account the typical constraints of the process. The proposed approach has been extensively tested in simulation, using a set of patients described by realistic nonlinear pharmacokinetic/pharmacodynamic models, which are representative of a wide population. Additionally, an exhaustive robustness evaluation considering inter- and intra-patient variability has been included, which demonstrates the effectiveness of the analyzed control structure.

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Title :

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

Contributors:

Pawlowski A. (author) / Schiavo M. (author) / Latronico N. (author) / Paltenghi M. (author) / Visioli A. (author) / Pawlowski A. / Schiavo M. / Latronico N. / Paltenghi M. / Visioli A.

Publication date :

2022-01-01

DOI :

https://doi.org/10.1016/j.jprocont.2022.07.007

Type of media :

Article (Journal)

Type of material :

Electronic Resource

Language :

English

Keywords :

Anesthesia control , Drug co-administration , Model predictive control , PK/PD model , Robustness , Tuning