Online estimation of respiratory mechanics in non-invasive pressure support ventilation: a bench model study.
Détails
ID Serval
serval:BIB_120D00B040E4
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Online estimation of respiratory mechanics in non-invasive pressure support ventilation: a bench model study.
Périodique
Conference Proceedings : ... Annual International Conference of the Ieee Engineering In Medicine and Biology Society. Ieee Engineering In Medicine and Biology Society. Conference
ISSN
1557-170X[print], 1557-170X[linking]
Statut éditorial
Publié
Date de publication
2010
Volume
2010
Pages
2489-2492
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Résumé
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
Création de la notice
15/03/2011 12:42
Dernière modification de la notice
20/08/2019 13:39