Cardiovascular Modelling and Identification in Septic Shock - Experimental validation

Desaive, T.; Lambermont, B.; Ghuysen, A.; Kolh, P.; Dauby, P.C.; Starfinger, C.; Hann, C.E.; Chase, Geoff; Shaw, Geoff

Cardiovascular Modelling and Identification in Septic Shock - Experimental validation

dc.contributor.author	Desaive, T.
dc.contributor.author	Lambermont, B.
dc.contributor.author	Ghuysen, A.
dc.contributor.author	Kolh, P.
dc.contributor.author	Dauby, P.C.
dc.contributor.author	Starfinger, C.
dc.contributor.author	Hann, C.E.
dc.contributor.author	Chase, Geoff
dc.contributor.author	Shaw, Geoff
dc.date.accessioned	2009-04-27T22:08:18Z
dc.date.available	2009-04-27T22:08:18Z
dc.date.issued	2008	en
dc.description	Invited paper	en
dc.description.abstract	Cardiovascular disturbances are difficult to diagnose and treat because of the large range of possible underlying dysfunctions combined with regulatory reflex mechanisms that can result in conflicting clinical data. A cardiovascular system (CVS) model and patient specific parameter identification method could better aggregate the clinical data into a more direct and simpler form for clinicians. A previously developed model and parameter identification method is improved to accurately capture physiological response to septic shock under continuous hemofiltration, further confirming the potential for using this model-based approach in critical care. Clinical data is matched with mean absolute errors less than 8% and the optimized parameters closely follow a previous study using significantly more invasive procedures and measurements.	en
dc.identifier.citation	Desaive, T., Lambermont, B., Ghuysen, A., Kolh, P., Dauby, P.C., Starfinger, C., Hann, C.E., Chase, J.G., Shaw, G.M. (2008) Cardiovascular Modelling and Identification in Septic Shock - Experimental validation. Seoul, Korea: 17th International Federation of Automatic Control World Congress 2008, 6-11 Jul 2008.	en
dc.identifier.uri	http://hdl.handle.net/10092/2377
dc.language.iso	en
dc.publisher	University of Canterbury. Mechanical Engineering	en
dc.rights.uri	https://hdl.handle.net/10092/17651	en
dc.subject.marsden	Fields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321003 Cardiology (incl. cardiovascular disease)	en
dc.subject.marsden	Fields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321009 Intensive care	en
dc.subject.marsden	Fields of Research::290000 Engineering and Technology::291500 Biomedical Engineering	en
dc.title	Cardiovascular Modelling and Identification in Septic Shock - Experimental validation	en
dc.type	Conference Contributions - Published