Model iterative airway pressure reconstruction during mechanical ventilation asynchrony: Shapes and sizes of reconstruction

Tan, C. P.; Chiew, Y. S.; Geoffrey Chase, J.; Chiew, Y. W.; Pretty, C.; Desaive, Thomas; Ralib, A. M.; Mat, M. B.; Usman, J.; Ibrahim, F.; Ahmad, M. Y.; Teh, S. J.; Hamzah, N.

doi:10.1007/978-981-10-7554-4_5

Paper published in a journal (Scientific congresses and symposiums)

Model iterative airway pressure reconstruction during mechanical ventilation asynchrony: Shapes and sizes of reconstruction

Tan, C. P.; Chiew, Y. S.; Geoffrey Chase, J. et al.

2018 • In IFMBE Proceedings, 67, p. 27-33

Peer reviewed

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https://hdl.handle.net/2268/248136

DOI
10.1007/978-981-10-7554-4_5

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Keywords :

Airway pressure reconstruction; Asynchrony; Mechanical ventilation; Spontaneous breathing; Biomedical engineering; Mechanics; Pressure; Respiratory mechanics; Ventilation; Airway pressures; Model-based method; Patient specific; Performance and reliabilities; Reconstruction method; Iterative methods

Abstract :

[en] Model-based methods estimating patient-specific respiratory mechanics may help intensive care clinicians in setting optimal ventilation parameters. However, these methods rely heavily on the quality of measured airway pressure and flow profiles for reliable respiratory mechanics estimation. Thus, asynchronous and/or spontaneous breathing cycles that do not follow a typical passive airway profile affect the performance and reliability of model-based methods. In this study, a model iterative airway pressure reconstruction method is presented. It aims to reconstruct a measured airway pressure affected by asynchronous breathing iteratively, trying to match the profile of passive breaths with no asynchrony or spontaneous breathing effort. Thus, reducing the variability of identified respiratory mechanics over short time periods where changes would be due only to asynchrony or spontaneous artefacts. A total of 2000 breathing cycles from mechanically ventilated patients with known asynchronous breathing were analyzed. It was found that this method is capable of reconstructing an airway pressure free from asynchronous or spontaneous breathing effort. This work focuses on several cases, detailing how iterative pressure reconstruction method performs under different cases, as well as its limitation. © 2018, Springer Science+Business Media Singapore.

Disciplines :

Anesthesia & intensive care

Author, co-author :

Tan, C. P.; School of Engineering and Advanced Engineering Platform Health Cluster, Monash University Malaysia, Selangor, Malaysia

Chiew, Y. S.; School of Engineering and Advanced Engineering Platform Health Cluster, Monash University Malaysia, Selangor, Malaysia

Geoffrey Chase, J.; University of Canterbury, Christchurch, New Zealand

Chiew, Y. W.; Lam Wah Ee Hospital, George Town, Pulau Pinang, Malaysia

Pretty, C.; University of Canterbury, Christchurch, New Zealand

Desaive, Thomas ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles

Ralib, A. M.; International Islamic University Malaysia, Kuantan, Pahang, Malaysia

Mat, M. B.; International Islamic University Malaysia, Kuantan, Pahang, Malaysia

Usman, J.

Ibrahim, F.

More authors (3 more)

Language :

English

Title :

Model iterative airway pressure reconstruction during mechanical ventilation asynchrony: Shapes and sizes of reconstruction

Publication date :

2018

Event name :

2nd International Conference for Innovation in Biomedical Engineering and Life Sciences, ICIBEL 2017, held in conjunction with the 10th Asia Pacific Conference on Medical and Biological Engineering, APCMBE 2017

Event date :

10 December 2017 through 13 December 2017

Audience :

International

Journal title :

IFMBE Proceedings

ISSN :

1680-0737

Publisher :

Springer Verlag

Volume :

Pages :

27-33

Peer reviewed :

Peer reviewed

Funders :

HRC - Health Research Council of New Zealand
MOHE - Ministry of Higher Education Malaysia
Monash University Malaysia. Advanced Engineering Platform Health Cluster

Commentary :

9789811075537

Available on ORBi :

since 08 June 2020

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