title: Online estimation of respiratory mechanics in non-invasive pressure support ventilation: a bench model study.
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.
authors.affiliation: ResMed Pty Ltd, and the Graduate School of Biomedical Engineering, University of New South Wales, Sydney 2052, Australia.
authors.forename: Qestra
authors.initials: Q
authors.lastname: Mulqueeny
authors.forename: Didier
authors.initials: D
authors.lastname: Tassaux
authors.forename: Laurence
authors.initials: L
authors.lastname: Vignaux
authors.forename: Philippe
authors.initials: P
authors.lastname: Jolliet
authors.forename: Klaus
authors.initials: K
authors.lastname: Schindhelm
authors.forename: Stephen
authors.initials: S
authors.lastname: Redmond
authors.forename: Nigel H
authors.initials: NH
authors.lastname: Lovell
mesh_terms: D000403:Airway Resistance; D000465:Algorithms; D002138:Calibration; D003201:Computers; D004548:Elasticity; D004867:Equipment Design; D006801:Humans; D020407:Internet; D015233:Models, Statistical; D015203:Reproducibility of Results; D012121:Respiration, Artificial / Q000295:instrumentation* / Q000379:methods*; D015656:Respiratory Mechanics / Q000502:physiology; D012984:Software; D012122:Ventilators, Mechanical