An Estimation Perspective on Breathing Effort Disturbances in Mechanical Ventilation
Lars Van De Kamp (Demcon Advanced Mechatronics, Eindhoven University of Technology)
B. G B Hunnekens (Demcon Advanced Mechatronics)
Nathan van de Wouw (Eindhoven University of Technology, University of Minnesota)
T.A.E. Oomen (TU Delft - Team Jan-Willem van Wingerden, Eindhoven University of Technology)
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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.
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