Model predictive control of hemodynamics during intravenous general anesthesia

Hamed Farbakhsh; Erhan Yumuk; Ghada Ben Othman; Robin De Keyser; Dana Copot; Isabela Birs; Clara M. Ionescu

doi:10.1109/ICSTCC59206.2023.10308441

Model predictive control of hemodynamics during intravenous general anesthesia

Hamed Farbakhsh, Erhan Yumuk, Ghada Ben Othman, Robin De Keyser, Dana Copot, Isabela Birs, Clara M. Ionescu

Department of Control and Automation Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

In the operating rooms and the intensive care unit, it is crucial to manage the patient's hemodynamic status, which includes factors like cardiac output and mean arterial pressure. Anesthesiologists confront a difficult task while monitoring high-risk patients. Cardiac output optimization has been found to enhance the result of high-risk patients in terms of hospital stay, mortality rate, post-operative problems, etc. The application of standard control approaches is restricted because the mean arterial pressure response of a patient using vasoactive medicines is modeled by a first-order dynamical system with time-varying parameters and a time-varying delay in the control input. In order to circumvent implementation challenges, this work develops an approximation technique that describes the system using a higher-order model. Predictive control is therefore used to comprehend the practical application of higher-order hemodynamic systems. The effectiveness of this strategy is demonstrated by the simulations and outcomes that are given.

Original language	English
Title of host publication	2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings
Editors	Radu-Emil Precup
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	362-367
Number of pages	6
ISBN (Electronic)	9798350337983
DOIs	https://doi.org/10.1109/ICSTCC59206.2023.10308441
Publication status	Published - 2023
Event	27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Timisoara, Romania Duration: 11 Oct 2023 → 13 Oct 2023

Publication series

Name	2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings

Conference

Conference	27th International Conference on System Theory, Control and Computing, ICSTCC 2023
Country/Territory	Romania
City	Timisoara
Period	11/10/23 → 13/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

This work has received funding from the European Research Council (ERC) Consolidator Grant AMICAS, grant agreement No. 101043225. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. This work was supported by Flemish Research Foundation FWO postdoctoral fellowship grant nr 12X6819N. This work was supported by a grant of the Romanian Ministry of Research, Innovation and Digitization, PNRRIII-C9-2022 - I8, grant number 760068/23.05.2023. *This work has received funding from the European Research Council (ERC) Consolidator Grant AMICAS, grant agreement No. 101043225. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. This work was supported by Flemish Research Foundation FWO postdoctoral fellowship grant nr 12X6819N. This work was supported by a grant of the Romanian Ministry of Research, Innovation and Digitization, PNRR-III-C9-2022 – I8, grant number 760068/23.05.2023.

Funders	Funder number
Flemish Research Foundation FWO	12X6819N
European Resuscitation Council
Ministerul Cercetării, Inovării şi Digitalizării	PNRR-III-C9-2022 – I8, 760068/23.05.2023
European Research Executive Agency
European Commission
European Research Council	101043225

Keywords

Anesthesia
Control
Higher-Order Approximation
Model Predictive Control

Access to Document

10.1109/ICSTCC59206.2023.10308441

Cite this

Farbakhsh, H., Yumuk, E., Othman, G. B., De Keyser, R., Copot, D., Birs, I., & Ionescu, C. M. (2023). Model predictive control of hemodynamics during intravenous general anesthesia. In R.-E. Precup (Ed.), 2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings (pp. 362-367). (2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSTCC59206.2023.10308441

Farbakhsh, Hamed ; Yumuk, Erhan ; Othman, Ghada Ben et al. / Model predictive control of hemodynamics during intravenous general anesthesia. 2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings. editor / Radu-Emil Precup. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 362-367 (2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings).

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abstract = "In the operating rooms and the intensive care unit, it is crucial to manage the patient's hemodynamic status, which includes factors like cardiac output and mean arterial pressure. Anesthesiologists confront a difficult task while monitoring high-risk patients. Cardiac output optimization has been found to enhance the result of high-risk patients in terms of hospital stay, mortality rate, post-operative problems, etc. The application of standard control approaches is restricted because the mean arterial pressure response of a patient using vasoactive medicines is modeled by a first-order dynamical system with time-varying parameters and a time-varying delay in the control input. In order to circumvent implementation challenges, this work develops an approximation technique that describes the system using a higher-order model. Predictive control is therefore used to comprehend the practical application of higher-order hemodynamic systems. The effectiveness of this strategy is demonstrated by the simulations and outcomes that are given.",

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Farbakhsh, H, Yumuk, E, Othman, GB, De Keyser, R, Copot, D, Birs, I & Ionescu, CM 2023, Model predictive control of hemodynamics during intravenous general anesthesia. in R-E Precup (ed.), 2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings. 2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 362-367, 27th International Conference on System Theory, Control and Computing, ICSTCC 2023, Timisoara, Romania, 11/10/23. https://doi.org/10.1109/ICSTCC59206.2023.10308441

Model predictive control of hemodynamics during intravenous general anesthesia. / Farbakhsh, Hamed; Yumuk, Erhan; Othman, Ghada Ben et al.
2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings. ed. / Radu-Emil Precup. Institute of Electrical and Electronics Engineers Inc., 2023. p. 362-367 (2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Farbakhsh, Hamed

AU - Yumuk, Erhan

AU - Othman, Ghada Ben

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AU - Copot, Dana

AU - Birs, Isabela

AU - Ionescu, Clara M.

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AB - In the operating rooms and the intensive care unit, it is crucial to manage the patient's hemodynamic status, which includes factors like cardiac output and mean arterial pressure. Anesthesiologists confront a difficult task while monitoring high-risk patients. Cardiac output optimization has been found to enhance the result of high-risk patients in terms of hospital stay, mortality rate, post-operative problems, etc. The application of standard control approaches is restricted because the mean arterial pressure response of a patient using vasoactive medicines is modeled by a first-order dynamical system with time-varying parameters and a time-varying delay in the control input. In order to circumvent implementation challenges, this work develops an approximation technique that describes the system using a higher-order model. Predictive control is therefore used to comprehend the practical application of higher-order hemodynamic systems. The effectiveness of this strategy is demonstrated by the simulations and outcomes that are given.

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Farbakhsh H, Yumuk E, Othman GB, De Keyser R, Copot D, Birs I et al. Model predictive control of hemodynamics during intravenous general anesthesia. In Precup RE, editor, 2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 362-367. (2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings). doi: 10.1109/ICSTCC59206.2023.10308441

Model predictive control of hemodynamics during intravenous general anesthesia

Abstract

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Keywords

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