Title
Computer Simulation Model of Oxygen Transport in Mechanically Ventilated Preterm Infants for the Development and Evaluation of Automated Oxygen Controllers
Author
van der Zwaard, Fenne (TU Delft Mechanical, Maritime and Materials Engineering)
Contributor
Kroon, A. (mentor)
Zimmermann, J.M. (mentor)
Goos, T.G. (mentor) 
Dankelman, J. (graduation committee) 
Reiss, I.K.M. (graduation committee)
Degree granting institution
Delft University of Technology
Erasmus Universiteit Rotterdam
Universiteit Leiden
Programme
Technical Medicine | Sensing and Stimulation
Date
2023-05-04
Abstract
Models for oxygen transport in preterm infants can aid the development and evaluation of automated oxygen controllers by providing insight into the FiO2-SpO2 response and enabling virtual trials. A computer simulation model of oxygen transport in preterm infants is developed and FiO2-SpO2 responses in preterm infants are investigated. The model consists of a respiration and circulation submodule, interconnected by a pulmonary gas exchange submodule. Literature-based parameter ranges are provided. The model's ability to reproduce a patient's FiO2-SpO2 response, be generalised to different FiO2-SpO2 responses, and replicate physiological shunting and apnea scenarios is investigated. FiO2-SpO2 responses in preterm infants exhibit high variability and few responses are found stable. The model could be calibrated to specific FiO2-SpO2 responses using literature-based parameter ranges and could replicate physiologically expected shunting and apnea scenarios. The calibrated model could not be generalised to another FiO2-SpO2 response. The developed model for oxygen transport in preterm infants is a useful, modular, well-documented framework that can be used to develop and evaluate automated oxygen controllers.
Subject
Computer Modelling
Oxygen Transport
Preterm Infants
To reference this document use:
http://resolver.tudelft.nl/uuid:2544f27c-ee43-41f9-8f27-fe02c59d120f
Embargo date
2025-05-04
Part of collection
Student theses
Document type
master thesis
Rights
© 2023 Fenne van der Zwaard