Compositional and geometric unifying approach for modeling the mechanical ventilator-Human respiratory system
Authors
Milka C.I. Madahana, John E.D. Ekoru, Prince Jonas, Otis T.C. Nyandoro
Abstract
The objective of this research work is to present the Port Hamiltonian modelling of integrated Port Hamiltonian model of the mechanical ventilator- human respiratory system. Three case scenarios which include a healthy person, a sedated patient, and a spontaneously breathing patient are used to demonstrate the application of this model. The proposed model is sufficiently detailed enough to reproduce human respiratory responses to be applied in different representations of positive pressure while still maintaining low computational costs. The simulated results obtained are comparable to those in literature. The presented formulation of the Port Hamiltonian lumped parameter model can be applied in the design of robust controllers for Mechanical ventilators’ patient dynamics.
Citation
- Journal: 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET
- Year: 2024
- Volume:
- Issue:
- Pages: 1–7
- Publisher: IEEE
- DOI: 10.1109/icecet61485.2024.10698670
BibTeX
@inproceedings{Madahana_2024,
title={{Compositional and geometric unifying approach for modeling the mechanical ventilator-Human respiratory system}},
DOI={10.1109/icecet61485.2024.10698670},
booktitle={{2024 International Conference on Electrical, Computer and Energy Technologies (ICECET}},
publisher={IEEE},
author={Madahana, Milka C.I. and Ekoru, John E.D. and Jonas, Prince and Nyandoro, Otis T.C.},
year={2024},
pages={1--7}
}References
- Reinders J, Hunnekens B, Heck F, Oomen T, van de Wouw N (2021) Adaptive Control for Mechanical Ventilation for Improved Pressure Support. IEEE Trans Contr Syst Technol 29(1):180–193. https://doi.org/10.1109/tcst.2020.296938 – 10.1109/tcst.2020.2969381
- Tamburrano P, De Palma P, Plummer AR, Distaso E, Amirante R (2020) Simulink Modelling For Simulating Intensive Care Mechanical Ventilators. E3S Web Conf 197:07007. https://doi.org/10.1051/e3sconf/20201970700 – 10.1051/e3sconf/202019707007
- Borrello M Modeling and control of systems for critical care ventilation. Proceedings of the 2005, American Control Conference, 2005. 2166–218 – 10.1109/acc.2005.1470291
- Bates JHT (2009) Lung Mechanic – 10.1017/cbo9780511627156
- van de Wouw N, Hunnekens B, Kamps S (2018) Switching control of medical ventilation systems. 2018 Annual American Control Conference (ACC) 532–53 – 10.23919/acc.2018.8431256
- Hunnekens B, Kamps S, Van De Wouw N (2020) Variable-Gain Control for Respiratory Systems. IEEE Trans Contr Syst Technol 28(1):163–171. https://doi.org/10.1109/tcst.2018.287100 – 10.1109/tcst.2018.2871002
- Tõnso M, Kaparin V, Belikov J (2023) Port-Hamiltonian framework in power systems domain: A survey. Energy Reports 10:2918–2930. https://doi.org/10.1016/j.egyr.2023.09.07 – 10.1016/j.egyr.2023.09.077
- (2001) Putting energy back in control. IEEE Control Syst 21(2):18–33. https://doi.org/10.1109/37.91539 – 10.1109/37.915398
- Fiaz S, Zonetti D, Ortega R, Scherpen JMA, van der Schaft AJ (2013) A port-Hamiltonian approach to power network modeling and analysis. European Journal of Control 19(6):477–485. https://doi.org/10.1016/j.ejcon.2013.09.00 – 10.1016/j.ejcon.2013.09.002
- Rideout, Mathematical and Computer Modeling of Physiological Systems (1991)
- Albanese, An integrated mathematical model of the human cardiopulmonary system: model development (2016)
- Hao L, Shi Y, Cai M, Ren S, Wang Y, Zhang H, Yu Q (2019) Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing. IEEE Access 7:172847–172859. https://doi.org/10.1109/access.2019.295507 – 10.1109/access.2019.2955075