Integral-Based Identification of an Inhomogeneity Model in Respiratory Mechanics

Type of content
Journal Article
Publisher's DOI/URI
Thesis discipline
Degree name
Publisher
University of Canterbury. Mechanical Engineering
Journal Title
Journal ISSN
Volume Title
Language
Date
2012
Authors
Schranz, C.
Docherty, P.D.
Möller, K.
Chase, Geoff
Abstract

Individualized models of respiratory mechanics may help to reduce potential harmful effects of ventilation therapy by predicting the outcome of certain ventilator settings. The underlying models are commonly identified by iterative error-mapping methods, such as the Levenberg-Marquardt Algorithm, requiring initial estimates for the patient specific parameters. The quality of the initial estimates has a significant influence on identification efficiency and results. An iterative integral-based parameter identification method was applied to a linear 2nd order respiratory mechanics model. The method was compared to the Levenberg-Marquardt Algorithm using clinical data from 13 Acute Respiratory Distress Syndrome (ARDS) patients. The Iterative Integral-Based Method converged to the Levenberg-Marquardt solution two times faster and was independent of initial estimates. These investigations reveal that the Iterative Integral-Based Method is beneficial with respect to computing time, operator independence and robustness.

Description
4-pages
Citation
Schranz, C., Docherty, P.D., Moeller, K. , Chase, J.G. (2012) Integral-Based Identification of an Inhomogeneity Model in Respiratory Mechanics. Shanghai, China: 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE), 17-20 May 2012.
Keywords
respiratory mechanics, parameter identification, inhomogeneity model
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Fields of Research::32 - Biomedical and clinical sciences::3201 - Cardiovascular medicine and haematology::320103 - Respiratory diseases
Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
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