Sensitivity analysis of a computer model of neonatal oxygen transport
release_kldck34fkzazho3ihgefrs5elm
by
Veronika Huttova, Jakub Rafl, Thomas E. Bachman, Petr Kudrna, Martin Rozanek, Knut Möller
Abstract
<jats:title>Abstract</jats:title>Computer models of neonatal oxygenation could serve as a tool for a comprehensive comparison of closed-loop automated oxygen control systems. The behaviour of such models depends, besides the input data of the inspired fraction of oxygen and the premature infant's breath pattern, on internal parameters of the model. The aim of this study was to perform a sensitivity analysis of a computer model of neonatal oxygen transport to clarify the influence of its internal physiological parameters on the output signal of peripheral oxygen saturation (SpO<jats:sub>2</jats:sub>). We performed a multi-parameter sensitivity analysis using Monte Carlo simulations for randomly generated values of eight internal parameters. The influence on the model output SpO<jats:sub>2</jats:sub> signal was evaluated using five characteristics of the output signal. The relations between the parameters and the output characteristics were displayed using scatter plots and analysed by linear correlation, standardized regression, and partial correlation. The main result of the study is that in our model the oxygen consumption in the tissue and the cardiac output have the greatest influence on the SpO<jats:sub>2</jats:sub> drop and minimal SpO<jats:sub>2</jats:sub> value during simulated desaturation. The rate of development of desaturation and its duration are most affected by the diffusion resistance of the alveolar-capillary membrane. The results of the sensitivity analysis will help to optimize the performance of the computer model of neonatal oxygen transport.
In application/xml+jats
format
Archived Files and Locations
application/pdf 823.0 kB
file_wyjgxvkgqfgatcttgcju57z7bi
|
www.degruyter.com (publisher) web.archive.org (webarchive) |
article-journal
Stage
published
Date 2020-09-01
access all versions, variants, and formats of this works (eg, pre-prints)
Crossref Metadata (via API)
Worldcat
SHERPA/RoMEO (journal policies)
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar