CYBERMED PNRR I9 Grant No. 760018/27.01.2023

CYBERMED- Cyber-medical solution for drug delivery systems using fractional calculus

Screenshot 2024-03-18 at 14.53.44

Research grant awarded by the Romanian Ministry of Research, Innovation and Digitization, PNRR-III-C9-2022 – I9, grant number 760018/27.01.2023

SUMMARY

A patient’s well-being during/after surgery is drastically affected by the application of general anaesthesia and maintenance of anesthetic and hemodynamic variables within safe ranges. Closed loop control of the anesthesia-hemodynamic system has been shown to decrease the risks for over/underdosing, but a complete multivariable control has not yet been fully considered. The proposal attempts to offer such a solution. To account for the challenges brought by modeling uncertainties, patient intra and intervariability, a novel approach that consists in the design of a multivariable fractional order robust control strategy for the entire anesthesia-hemodynamic system will be developed. The aim of the proposal consists then in: develop specific fractional order models for anesthesia components, integrate these with a personalized multivariable hemodynamic model, design a robust multivariable control algorithm to tackle model uncertainties, efficiently reject disturbances and decrease subsystem interactions. The overall objective consists in developing a standalone user-friendly software cyber-medical system for open/closed loop tests/ analysis for drug deliveryto raise awareness and acceptance among clinicians.

Potential impact of the CMS for combined AHS control during surgery is both direct (open/closed loop testing in anaesthesia-hemodynamic drug delivery issues), offers improved understanding of the anaesthesia-hemodynamic paradigm in closed loop control and indirect (leads to improved patient safety, better-trained clinical staff, reduced costs for drug dosing).

PROJECT OBJECTIVES

1) The development of a simplified, but suitable model of analgesic drug diffusion into the human body based on novel ideas of fractional order impedance models (FOIM); 2)  The integration of the analgesia model with models of hypnosis and neuromuscular blockade in order to obtain a fully interactive anaesthesia environment;3)  The integration of anaesthesia with the hemodynamic system and surgical stimulus, acting as a disturbance; 4)  The development of novel robust fractional order control (FOC) methodologies to tackle the interactions of this complex environment.

EXPECTED RESULT INDICATORS AND DELIVERABLES

  • Minimum of 3 Q1 journal publications (i.e. ISA Transactions, Fractal and Fractional, IEEE Trans. Control Systems Technology, Journal of Advanced Research, etc.) 4 Web of Science conference papers (IEEE Int. Conf. on Systems, Man, and Cybernetics 2023, 2024; IEEE Conf. on Control Technology and Applications 2023, 2024; European Control Conference 2023, 2024; American Control Conference 2024, etc).
  • 1 researcher C. Muresan working in research centers receiving support (full-time equivalent)
  • 1 proposal as a follow-up to be submitted to European Union Horizon research programs

CURRENT RESULT INDICATORS AND DELIVERABLES

  • 1 researcher C. Muresan working in research centers receiving support (full-time equivalent)
  • 1 grant proposal submitted in the 2023 call for HORIZON-MSCA-2023-DN-01 (MSCA Doctoral Networks 2023), Proposal Number: 101168471, Proposal acronym: moTIVAte, Proposal Title: Multi drug Optimisation Total IntraVenous Anesthesia with Tangible Exposition
  • 1 Q1 journal publication (published), 1 Q2 journal publication (published), 3 Q1 journal publications (under review, major revisions), 3 Web of Science conference papers (Published), 2 Web of Science conference papers (Accepted, 2024), 1 Web of Science conference papers (Under review, 2024). For more details, see below.
  • 1 Q2 journal publication (Published)

M. Ghita, I.R. Birs, D. Copot, C.I. Muresan, C.M. Ionescu (2023), Bioelectrical impedance analysis of thermal-induced cutaneous nociception, Biomedical Signal Processing and Control, vol. 83, Article number 104678, doi: 10.1016/j.bspc.2023.104678 (revistă ISI Q2, factor de impact 5.1)

  • 1 Q1 journal publication (Published)

M. Ghita, I.R. Birs, D. Copot, C.I. Muresan, M. Neckebroek, C.M. Ionescu (2023) Parametric modeling and deep learning for enhancing pain assessment in postanesthesia, IEEE Transactions on Biomedical Engineering, vol. 70(10), pp. 2991-3002, doi: 10.1109/TBME.2023.3274541 (revistă ISI Q1, factor de impact 4.6)

  • 3 Q1 journal publications (under review, major revisions)

C.I. Muresan, I.R. Birs (2023), Fractional order control for unstable first order processes with time delays, Fractional Calculus and Applied Analytics, în recenzie (revistă ISI Q1, factor de impact 3)

R. De Keyser, I.R. Birs, C.I. Muresan, C.M. Ionescu (2023), Process information extraction for controller tuning from minimal datasets with low excitatory content, ISA Transactions, în recenzie major revisions (revistă ISI Q1, factor de impact 7.3)

C.M. Ionescu, D. Copot, E. Yumuk, R. De Keyser, C.I. Muresan, I.R. Birs, G. Ben Otham, H. Farbakhsh, A.R. Ynineb, M. Neckebroek (2023), Development, validation and comparison of a novel nociception/anti-nociception monitor against two commercial monitors in general anesthesia, Computer Methods and Programs in Biomedicine, în recenzie (revistă ISI Q1, factor de impact 6.1)

  • 3 Web of Science conference papers (Published)

M. Ghita, D. Copot, I. Birs, C. Muresan, M. Neckebroek, C. Ionescu (2023), Modelling of Blood Loss Influence on Propofol Concentrations and Anesthetic States in Critical Response, 2023 American Control Conference (ACC), San Diego, CA, USA, 2023, pp. 2216-2221, doi: 10.23919/ACC55779.2023.10156356 (conferință indexată ISI proceedings)

I. Birs, C. Muresan, M. Ghita, M. Ghita, I. Nascu, C. Ionescu (2023), Event-based fractional order MIMO control for hemodynamic stabilization during general anesthesia, 2023 IEEE Conference on Systems, Man, and Cybernetics, October 1-4, 2023, Honolulu, Oahu, Hawaii, USA (conferință indexată ISI proceedings)

E. Hegedus, M. Ghita, I.R. Birs, D. Copot, C.I. Muresan (2023), Robustness analysis of a multivariable fractional order controller for the hemodynamic variables in anesthetized patients, 2023 European Control Conference (ECC), Bucharest, Romania, 2023, pp. 1-6, doi: 10.23919/ECC57647.2023.10178146 (conferință indexată ISI proceedings)

  • 2 Web of Science conference papers (Accepted, 2024)

T. Popescu, I.R. Birs, G. Ben Othman, E. Yumuk, M. Mihai, E. Hegedus, D. Copot, R. De Keyser, C.M. Ionescu, C.I. Muresan, Uncertainty and Its Effect On Optimal Multidrug Control of Hemodynamic Variables, 2024 American Control Conference, July 8-12, 2024, Toronto, Canada, acceptata (conferință indexată ISI proceedings)

E. Hegedus, M.D. Mihai, I.R. Birs, H. Farbakhsh, E. Yumuk, D. Copot, R. De Keyser, C.M. Ionescu, C.I. Muresan, A Decoupled Fractional Order Control Strategy to increase patient safety during Anesthesia-Hemodynamic Interactions, 2024 European Control Conference, 25-28 June 2024, Stockholm, Sweden, acceptata (conferință indexată ISI proceedings)

  • 1 Web of Science conference papers (Under review, 2024)

M. Mihai, I. Birs, H. Erwin, D. Copot, M. Neckebroek, R. De Keyser, C.M. Ionescu, C.I. Muresan, A compact fractional-order model for hypnosis in general anesthesia, 12th IFAC Conference on Fractional Differentiation and its Applications, Bordeaux, France, July 9-12, 2024, în recenzie (conferință indexată ISI proceedings)