DocumentCode
636751
Title
Model-based respiratory mechanics to titrate PEEP and monitor disease state for experimental ARDS subjects
Author
van Drunen, Erwin J. ; Yeong Shiong Chiew ; Chase, J. Geoffrey ; Lambermont, Bernard ; Janssen, N. ; Desaive, Thomas
Author_Institution
Univ. of Canterbury, Christchurch, New Zealand
fYear
2013
fDate
3-7 July 2013
Firstpage
5224
Lastpage
5227
Abstract
Modelling the respiratory mechanics of mechanically ventilated (MV) patients can provide useful information to guide MV therapy. Two model-based methods were evaluated based on data from three experimental acute respiratory distress syndrome (ARDS) induced piglets and validated against values available from ventilators. A single compartment lung model with integral-based parameter identification was found to be effective in capturing fundamental respiratory mechanics during inspiration. The trends matched clinical expectation and provided better resolution than clinically derived linear model metrics. An expiration time constant model also captured the same trend in respiratory elastance. However, the assumption of constant resistance and a slightly higher fitting error results in less insight than the single compartment model. Further research is required to confirm its application in titrating to optimal MV settings.
Keywords
diseases; lung; parameter estimation; patient monitoring; patient treatment; physiological models; pneumodynamics; ARDS subjects; MV therapy; PEEP; acute respiratory distress syndrome; constant resistance; disease state monitoring; expiration time constant model; fundamental respiratory mechanics; inspiration model; integral-based parameter identification; linear model metrics; mechanically ventilated patient; model-based respiratory mechanics; optimal MV setting; respiratory elastance; single compartment lung model; single compartment model; ventilators; Diseases; Lungs; Market research; Monitoring; Recruitment; Resistance; Ventilation;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location
Osaka
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2013.6610726
Filename
6610726
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