Virtual Patients for Managing Mechanical Ventilation in the ICU

Simple item page
dc.contributor.authorChase, Geoff
dc.contributor.authorMorton, Sophie Elizabeth
dc.contributor.authorKnopp, Jennifer L.
dc.date.accessioned2020-02-26T03:04:50Z
dc.date.available2020-02-26T03:04:50Z
dc.date.issued2019en
dc.date.updated2020-01-27T03:30:08Z
dc.description.abstract— Mechanical ventilation (MV) is a primary therapy in the intensive care unit (ICU). Sub-optimal ventilator settings can cause lung damage, but optimal selection is confounded by significant inter- and intra- patient variability in response to MV. Titrating PEEP (positive end expiratory pressure) to minimum elastance is a proven approach. However, in clinical practice finding this value is difficult. A predictive elastance model, or virtual patient, would directly assess a current PEEP level should be changed based on whether a nearby PEEP had lower elastance, as well as enable safe PEEP titration. A predictive, virtual patient model for MV in the ICU is presented.en
dc.identifier.citationChase G, Morton SE, Knopp JL (2019). Virtual Patients for Managing Mechanical Ventilation in the ICU. Berlin, Germany: 41st IEEE Engineering in Medicine and Biology Conference (IEEE EMBC). 23/07/2019-27/07/2019.en
dc.identifier.urihttp://hdl.handle.net/10092/18470
dc.language.isoen
dc.subject.anzsrcFields of Research::40 - Engineering::4003 - Biomedical engineering::400308 - Medical devicesen
dc.subject.anzsrcFields of Research::40 - Engineering::4003 - Biomedical engineering::400305 - Biomedical instrumentationen
dc.subject.anzsrcFields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive careen
dc.titleVirtual Patients for Managing Mechanical Ventilation in the ICUen
dc.typeConference Contributions - Otheren
uc.collegeFaculty of Engineering
uc.departmentMechanical Engineering
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
CHASE - Virtual Patients - BIKEM Invited Session.pdf
Size:
426.75 KB
Format:
Adobe Portable Document Format
Description:
Accepted version
Download
Collections
Engineering: Conference Contributions