Model-based patient matching for in-parallel multiplexing mechanical ventilation support

Jin Wai Wong, Yeong Shiong Chiew, Thomas Desaive, J. Geoffrey Chase

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

1 Citation (Scopus)


Surges of COVID-19 infections could lead to insufficient supply of mechanical ventilators, and rationing of needed care. Multiplexing mechanical ventilators (co-MV) to serve multiple patients is a potential temporary solution. However, if patients are ventilated in parallel ventilation, there is currently no means to match ventilation requirements or patients, with no guidelines to date for co-MV. This research uses patient-specific clinically validated respiratory mechanics models to propose a method for patient matching and mechanical ventilator settings for two-patient co-MV under pressure control mode. The proposed method can simulate and estimate the resultant tidal volume of different combinations of co-ventilated patients. With both patients fulfilling the specified constraint under similar ventilation settings, the actual mechanical ventilator settings for co-MV are determined. This method allows clinicians to analyze in silico co-MV before clinical implementation.

Original languageEnglish
Title of host publication11th IFAC Symposium on Biological and Medical Systems BMS 2021
PublisherElsevier - International Federation of Automatic Control (IFAC)
Number of pages6
Publication statusPublished - 2021
EventIFAC Symposium on Biological and Medical Systems 2021 - Ghent, Belgium
Duration: 19 Sept 202122 Sept 2021
Conference number: 11th (Proceedings)

Publication series

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


ConferenceIFAC Symposium on Biological and Medical Systems 2021
Abbreviated titleBMS 2021
Internet address


  • Co-ventilation
  • Decision support
  • Model-based method
  • Parallel ventilation

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