Abstract
This work addresses automatic control of total intravenous anaesthesia performed by exploiting a Model Predictive Control (MPC) technique. The analyzed control scenario considers simultaneous infusion of propofol and remifentanil to attain hypnotic and analgesic effects, respectively. As common in the clinical practice, a fixed ratio between these infused drugs is assumed. Such a ratio can be set by the anaesthesiologists according to the type of medical intervention and to their individual preferences. Thus, it is necessary to account for this aspect of clinical practice during the control system design stage. This is obtained through the use of a suitable MPC-based control architecture whose tuning parameters are adequately computed by taking into account the selected ratio. The methodology provided in this work first addresses the tuning for a fixed set of ratios. Subsequently, a generalization of the approach is provided to allow any ratio belonging to a defined range. The effectiveness of the presented solution is evaluated through a simulation study.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bouillon, T., Bruhn, J., Radulescu, L., Bertaccini, E., Park, S., Shafer, T.: Non-steady state analysis of the pharmacokinetic interaction between propofol and remifentanil. Anesthesiology 97, 1350–1362 (2002)
Eskandari, N., van Heusden, K., Dumont, G.A.: Extended habituating model predictive control of propofol and remifentanil anesthesia. Biomed. Sig. Process. Control 55, 101656 (2020)
Ionescu, C.: A computationally efficient hill curve adaptation strategy during continuous monitoring of dose-effect relation in anaesthesia. Nonlinear Dyn. 92(3), 843–852 (2018)
Ionescu, C., Neckebroek, M., Ghita, M., Copot, D.: An open source patient simulator for design and evaluation of computer based multiple drug dosing control for anesthetic and hemodynamic variables. IEEE Access 9, 8680–8694 (2021)
Ionescu, C.M., Keyser, R.D., Torrico, B.C., Smet, T.D., Struys, M.M., Normey-Rico, J.E.: Robust predictive control strategy applied for propofol dosing using BIS as a controlled variable during anesthesia. IEEE Trans. Biomed. Eng. 55(9), 2161–2170 (2008)
Khodaei, M.J., Candelino, N., Mehrvarz, A., Jalili, N.: Physiological closed-loop control (PCLC) systems: review of a modern frontier in automation. IEEE Access 8, 23965–24005 (2020)
Liu, N., et al.: Closed-loop coadministration of propofol and remifentanil guided by bispectral index: a randomized multicenter study. Anesth. Analg. 112(3), 546–557 (2017)
Mahfouf, M., Nunes, C.S., Linkens, D.A., Peacock, J.E.: Modelling and multivariable control in anaesthesia using neuralfuzzy paradigms part ii: closed-loop control of simultaneous administration of propofol and remifentanil. Artif. Intell. Med. 35(3), 207–213 (2005)
Merigo, L., Padula, F., Latronico, N., Paltenghi, M., Visioli, A.: Event-based control tuning of propofol and remifentanil coadministration for general anaesthesia. IET Control Theory Appl. 14, 2995–3008 (2020)
Merigo, L., et al.: A modelbased control scheme for depth of hypnosis in anesthesia. Biomed. Sig. Process. Control 42, 216–229 (2018)
Minto, C., et al.: Influence of age and gender on the pharmacokinetics and pharmacodynamics of remifentanil. Anesthesiology 86, 10–23 (1997)
Nascu, I., Oberdieck, R., Pistikopoulos, E.N.: An explicit hybrid model predictive control strategy for intravenous anaesthesia. In: Proceedings of the 9th IFAC Symposium on Biological and Medical Systems BMS, Berlin, Germany (2015)
Padula, F., Ionescu, C., Latronico, N., Paltenghi, M., Visioli, A., Vivacqua, G.: Optimized PID control of depth of hypnosis in anesthesia. Comput. Methods Programs Biomed. 144, 21–35 (2017)
Pasin, L., et al.: Closed-loop delivery systems versus manually controlled administration of total iv anesthesia: a meta-analysis of randomized clinical trials. Anesth. Analg. 124(2), 456–464 (2017)
Pawlowski, A., Merigo, L., Guzman, J., Visioli, A., Dormido, S.: Event-based GPC for depth of hypnosis in anesthesia for efficient use of propofol. In: 3rd International Conference on Event-Based Control, Communication and Signal Processing (EBCCSP17), Krakow, Poland (2017)
Pawlowski, A., Merigo, L., Guzman, J., Dormido, S., Visioli, A.: Two-degree-of-freedom control scheme for depth of hypnosis in anesthesia. IFAC-PapersOnLine 51(4), 72–77 (2018)
Pawlowski, A., Schiavo, M., Latronico, N., Paltenghi, M., Visioli, A.: Linear MPC for anesthesia process with external predictor. Comput. Chem. Eng. 161(107747), 1–13 (2022)
Pawlowski, A., Schiavo, M., Latronico, N., Paltenghi, M., Visioli, A.: Model predictive control using MISO approach for drug co-administration in anaesthesia. J. Process Control 117, 98–111 (2022)
Pawlowski, A., Schiavo, M., Latronico, N., Paltenghi, M., Visioli, A.: Drug co-administration in anesthesia using event-based MPC. Int. J. Robust Nonlinear Control, 1–23 (2024)
Schiavo, M., Padula, F., Latronico, N., Merigo, L., Paltenghi, M., Visioli, A.: Performance evaluation of an optimized PID controller for propofol and remifentanil coadministration in general anesthesia. IFAC J. Syst. Control 15(100121), 1–16 (2021)
Schinder, T.W., Minto, C.F., Shafer, S.L., Andersen, P.L., Goodale, D.B., Youngs, E.J.: The influence of age on propofol paharmacodynamics. Anesthesiology 90, 1502–1516 (1999)
Struys, M.M.R.F., Vereecke, H., Moerman, A., Jensen, E.W., Verhaeghen, D., Neve, N.D.: Ability of the bispectral index, autoregressive modelling with exogenous input-derived auditory evoked potentials responsiveness during anesthesia with propofol and remifentanil. Anesthesiology 99, 802–812 (2003)
Acknowledgment
Authors would like to thank Paolo Visieri for his help with control system simulations and performance indexes computation.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Pawlowski, A., Schiavo, M., Visioli, A. (2024). Tuning of a Predictive Control Scheme for Intravenous Anaesthesia Exploring Set of Fixed Ratios. In: Quintián, H., et al. The 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024. SOCO 2024. Lecture Notes in Networks and Systems, vol 888. Springer, Cham. https://doi.org/10.1007/978-3-031-75013-7_27
Download citation
DOI: https://doi.org/10.1007/978-3-031-75013-7_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-75012-0
Online ISBN: 978-3-031-75013-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)