Desaive, T.Lambermont, B.Ghuysen, A.Kolh, P.Dauby, P.C.Starfinger, C.Hann, C.E.Chase, GeoffShaw, Geoff2009-04-272009-04-272008Desaive, 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.http://hdl.handle.net/10092/2377Invited paperCardiovascular 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.enCardiovascular Modelling and Identification in Septic Shock - Experimental validationConference Contributions - PublishedFields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321003 Cardiology (incl. cardiovascular disease)Fields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321009 Intensive careFields of Research::290000 Engineering and Technology::291500 Biomedical Engineering