Modelling the Cardiovascular System

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dc.contributor.authorShaw, Geoff
dc.contributor.authorChase, Geoff
dc.contributor.authorStarfinger, C.
dc.contributor.authorSmith, B.W.
dc.contributor.authorHann, C.E.
dc.contributor.authorDesaive, T.
dc.contributor.authorGhuysen, A.
dc.date.accessioned2008-10-27T19:49:47Z
dc.date.available2008-10-27T19:49:47Z
dc.date.issued2007en
dc.descriptionInvited lead presentation and plenary talk for JFICM visiting researchers CD-ROMen
dc.description.abstractCardiovascular disease claims more lives than any other disease in westernised countries, affecting millions. Pin-pointing CVS dysfunction is often difficult because the clinical signs, or the availability and interpretation of physiological measurements are unreliable. Often patient specific information is incomplete and/or confusing as it comes from a diverse range of sources such as invasive and non-invasive pressure measurements, flow rates and ECG signals. Health professionals therefore rely on intuition and experience to make a ‘clinical’ diagnosis and treatment decisions. Sometimes this approach results in multiple therapies being applied until a suitable treatment is found. Poor outcomes result from failure to quickly and correctly diagnose and treat the underlying condition. This monograph introduces the concept of using full circulatory and cardiovascular models to aggregate the large number of diverse signals facing clinicians into a clear physiological picture of haemodynamic status. A brief review of the field, still in its infancy, of such models is presented focusing primarily on the basic approaches taken in the literature. Finally, one of the more advanced and best validated models is presented including initial animal validation study results. The overall approach is shown to have significant potential to provide clear, measured insight to replace often misled intuition in the monitoring, diagnosis and treatment of circulatory dysfunction in critical care. In the future models and modern sensors will increasingly ‘invade’ the critical care environment and will provide the opportunity for better, more consistent care at the bedside, and in real time.en
dc.identifier.citationShaw, G.M., Chase, J.G., Starfinger, C., Smith, B.W., Hann, C.E., Desaive, T., Ghuysen, A. (2007) Modelling the Cardiovascular System. Sydney, Australia: Joint Foundation of Intensive Care Medicine (JFICM) Annual Scientific Meeting, 1-3 Jun 2007. 10pp.en
dc.identifier.urihttp://hdl.handle.net/10092/1723
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineering.en
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subject.marsdenFields of Research::290000 Engineering and Technology::291500 Biomedical Engineering::290599 Biomedical engineering not elsewhere classifieden
dc.subject.marsdenFields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321003 Cardiology (incl. cardiovascular disease)en
dc.subject.marsdenFields of Research::320000 Medical and Health Sciences::320600 Medical Physiology::320603 Systems physiologyen
dc.titleModelling the Cardiovascular Systemen
dc.typeConference Contributions - Published
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