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

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings
EditörlerRadu-Emil Precup
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar362-367
Sayfa sayısı6
ISBN (Elektronik)9798350337983
DOI'lar
Yayın durumuYayınlandı - 2023
Etkinlik27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Timisoara, Romania
Süre: 11 Eki 202313 Eki 2023

Yayın serisi

Adı2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???27th International Conference on System Theory, Control and Computing, ICSTCC 2023
Ülke/BölgeRomania
ŞehirTimisoara
Periyot11/10/2313/10/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Finansman

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.

FinansörlerFinansör numarası
Flemish Research Foundation FWO12X6819N
European Resuscitation Council
Ministerul Cercetării, Inovării şi DigitalizăriiPNRR-III-C9-2022 – I8, 760068/23.05.2023
European Research Executive Agency
European Commission
European Research Council101043225

    Parmak izi

    Model predictive control of hemodynamics during intravenous general anesthesia' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

    Alıntı Yap