An Estimation Perspective on Breathing Effort Disturbances in Mechanical Ventilation

L.G.J. van de Kamp; B.G.B. Hunnekens; Nathan van de Wouw; Tom A.E. Oomen

doi:10.1016/j.ifacol.2023.10.1003

An Estimation Perspective on Breathing Effort Disturbances in Mechanical Ventilation

L.G.J. van de Kamp, B.G.B. Hunnekens, Nathan van de Wouw, Tom A.E. Oomen

Research output: Contribution to journal › Conference article › peer-review

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Abstract

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.

Original language	English
Pages (from-to)	8215-8220
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	56
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2023.10.1003
Publication status	Published - 1 Jul 2023
Event	22nd World Congress of the International Federation of Automatic Control (IFAC 2023 World Congress) - Yokohama, Japan Duration: 9 Jul 2023 → 14 Jul 2023 Conference number: 22 https://www.ifac2023.org/

Keywords

linear regression
mechanical ventilation
parameter estimation
respiratory systems
system identification

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title = "An Estimation Perspective on Breathing Effort Disturbances in Mechanical Ventilation",

abstract = "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.",

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T1 - An Estimation Perspective on Breathing Effort Disturbances in Mechanical Ventilation

AU - van de Kamp, L.G.J.

AU - Hunnekens, B.G.B.

AU - van de Wouw, Nathan

AU - Oomen, Tom A.E.

N1 - Conference code: 22

PY - 2023/7/1

Y1 - 2023/7/1

N2 - 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.

AB - 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.

KW - linear regression

KW - mechanical ventilation

KW - parameter estimation

KW - respiratory systems

KW - system identification

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JO - IFAC-PapersOnLine

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T2 - 22nd World Congress of the International Federation of Automatic Control (IFAC 2023 World Congress)

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An Estimation Perspective on Breathing Effort Disturbances in Mechanical Ventilation

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