Cardiovascular Modelling and Identification in Septic Shock - Experimental validation (2008)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Mechanical Engineering
AuthorsDesaive, T., Lambermont, B., Ghuysen, A., Kolh, P., Dauby, P.C., Starfinger, C., Hann, C.E., Chase, J.G., Shaw, G.M.show all
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.
CitationDesaive, 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.
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