Online estimation of respiratory mechanics in non-invasive pressure support ventilation: a bench model study.

Details

Serval ID
serval:BIB_120D00B040E4
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Online estimation of respiratory mechanics in non-invasive pressure support ventilation: a bench model study.
Journal
Conference Proceedings : ... Annual International Conference of the Ieee Engineering In Medicine and Biology Society. Ieee Engineering In Medicine and Biology Society. Conference
Author(s)
Mulqueeny Q., Tassaux D., Vignaux L., Jolliet P., Schindhelm K., Redmond S., Lovell N.H.
ISSN
1557-170X[print], 1557-170X[linking]
Publication state
Published
Issued date
2010
Volume
2010
Pages
2489-2492
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
An online algorithm for determining respiratory mechanics in patients using non-invasive ventilation (NIV) in pressure support mode was developed and embedded in a ventilator system. Based on multiple linear regression (MLR) of respiratory data, the algorithm was tested on a patient bench model under conditions with and without leak and simulating a variety of mechanics. Bland-Altman analysis indicates reliable measures of compliance across the clinical range of interest (± 11-18% limits of agreement). Resistance measures showed large quantitative errors (30-50%), however, it was still possible to qualitatively distinguish between normal and obstructive resistances. This outcome provides clinically significant information for ventilator titration and patient management.
Pubmed
Create date
15/03/2011 11:42
Last modification date
20/08/2019 12:39
Usage data