An Estimation Perspective on Breathing Effort Disturbances in Mechanical Ventilation

An Estimation Perspective on Breathing Effort Disturbances in Mechanical Ventilation

van de Kamp, Lars (Eindhoven University of Technology; Demcon Advanced Mechatronics)
Hunnekens, Bram (Demcon Advanced Mechatronics)
van de Wouw, Nathan (Eindhoven University of Technology; University of Minnesota)
Oomen, T.A.E. (TU Delft Team Jan-Willem van Wingerden; Eindhoven University of Technology)

2023

Estimation of relevant lung parameters and the breathing effort of a ventilated patient is essential to keep track of the patient's clinical condition. The aim of this paper is to investigate the major challenges of estimating the patient's condition with parametric models. The main method is a linear regression framework, where identifiability and persistence of excitation aspects are clearly unraveled. Different approaches for improving estimation accuracy are outlined. As an illustration, one of the solution strategies is implemented, which leads to accurate estimates of the breathing effort and relevant lung parameters.

linear regression
mechanical ventilation
parameter estimation
respiratory systems
system identification

http://resolver.tudelft.nl/uuid:d8e4e641-6fb3-42f7-80df-eda90fb1c495

https://doi.org/10.1016/j.ifacol.2023.10.1003

IFAC-PapersOnLine, 56 (2), 8215-8220

22nd IFAC World Congress, 2023-07-09 → 2023-07-14, Yokohama, Japan

Institutional Repository

journal article

© 2023 Lars van de Kamp, Bram Hunnekens, Nathan van de Wouw, T.A.E. Oomen