Virtual mechanical ventilation protocol - a model-based method to determine MV settings

Ganesa Ramachandran Arunachalam, Yeong Shiong Chiew, Chee Pin Tan, Azrina Mohd Ralib, Mohd Basri Mat Nor

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

7 Citations (Scopus)

Abstract

Intensive care mechanical ventilation (MV) therapy is a lifesaving intervention for a patient with respiratory failure. MV supports patients breathing by maintaining positive airway pressure and airflow to the lung. However, there is currently little clinical consensus protocol to set the best MV setting. Hence, it is important to provide an objective and patient-specific MV settings to support patient recovery. This study presents a model-based method to find optimal MV settings using clinical bedside data. A mathematical model of the respiratory system is first used to estimate patient-specific respiratory mechanics. These mechanics are then incorporated with significant clinical findings from the literature to simulate a series of MV settings. The simulation of MV settings is performed using the single compartment lung model using the MATLAB software. From this series of simulated MV settings, optimal MV settings can be determined objectively by the clinician. This model-based method potentially provides decision support for the clinician to set optimal MV settings.

Original languageEnglish
Title of host publication21st IFAC World Congress
PublisherElsevier - International Federation of Automatic Control (IFAC)
Pages16119-16124
Number of pages6
Volume53
Edition2
DOIs
Publication statusPublished - 2020
EventInternational Federation of Automatic Control World Congress 2020 - Berlin, Germany
Duration: 12 Jul 202017 Jul 2020
Conference number: 21st
https://www.sciencedirect.com/journal/ifac-papersonline/vol/53/issue/2 (IFAC PapersOnline — ISSN 2405-8963 Volume 53, Issue 2 )

Publication series

NameIFAC-PapersOnLine
PublisherElsevier - International Federation of Automatic Control (IFAC)
ISSN (Print)2405-8963

Conference

ConferenceInternational Federation of Automatic Control World Congress 2020
Abbreviated titleIFAC 2020
Country/TerritoryGermany
CityBerlin
Period12/07/2017/07/20
Internet address

Keywords

  • Mechanical Ventilation Settings
  • Model-based Methods
  • Respiratory Mechanics

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