Detecting Ventilation Asynchronies Using Time-Variant Respiratory Mechanics

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dc.contributor.authorChiew, Y.S.
dc.contributor.authorDocherty, P.D.
dc.contributor.authorPretty, C.G.
dc.contributor.authorRedmond, D.
dc.contributor.authorDavidson, S.
dc.contributor.authorPoole, S.
dc.contributor.authorVan Drunen, E.
dc.contributor.authorDamanhuri, N.S.
dc.contributor.authorChase, Geoff
dc.contributor.authorShaw, Geoff
dc.date.accessioned2014-11-12T23:22:40Z
dc.date.available2014-11-12T23:22:40Z
dc.date.issued2013en
dc.description.abstractAsynchronous patient-ventilator interaction risks inadequate oxygenation that can cause prolonged mechanical ventilation requirement. Currently, patient-ventilator asynchrony events cannot be automatically detected in real-time and the problem is essentially neglected. This research presents a model-based approach to automatically detect asynchrony events in real-time.en
dc.identifier.citationChiew, Y.S., Docherty, P.D., Pretty, C.G., Redmond, D., Davidson, S., Poole, S., Van Drunen, E., Damanhuri, N.S., Chase, J.G., Shaw, G.M. (2013) Detecting Ventilation Asynchronies Using Time-Variant Respiratory Mechanics. Hobart, Australia: Australian and New Zealand Intensive Care Society (ANZICS)/Australian College of Critical Care Nurses (ATICN) Intensive Care Annual Scientific Meeting 2013, 17-19 Oct 2013. 1pp.en
dc.identifier.urihttp://hdl.handle.net/10092/9864
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineeringen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subject.anzsrcFields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive careen
dc.subject.anzsrcFields of Research::32 - Biomedical and clinical sciences::3201 - Cardiovascular medicine and haematology::320199 - Cardiovascular medicine and haematology not elsewhere classifieden
dc.titleDetecting Ventilation Asynchronies Using Time-Variant Respiratory Mechanicsen
dc.typeConference Contributions - Other
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