Identification of patient specific parameters for a minimal cardiac model (2004)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Mechanical Engineering.
A minimal cardiac model has been developed which accurately captures the essential dynamics of the cardio-vascular system (CVS). This paper develops an integral based parameter identification method for fast and accurate identification of patient specific parameters for this minimal model. The integral method is implemented using a single chamber model to prove the concept, and turns a previously non-linear and non-convex optimization problem into a linear and convex problem. The method can be readily extended to the full minimal cardiac model and enables rapid identification of model parameters to match a particular patient condition in clinical real time (3-5 minutes). This information can then be used to assist medical staff in understanding, diagnosis and treatment selection.
CitationHann, C.E., Chase, J.G., Shaw, G.M., Smith, B.W. (2004) Identification of patient specific parameters for a minimal cardiac model. San Francisco, CA, USA: 26th Annual International Conference of the Engineering in Medicine and Biology Society, 1-5 Sep 2004. EMBC 2004 Conference Proceedings, 1, 813-816.
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KeywordsCardiac model; Integral optimization; Patient specific parameters; Convex; Diagnosis; Treatment selection
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Hann, C.E.; Chase, Geoff; Shaw, Geoff (University of Canterbury. Mechanical Engineering., 2006)A minimal cardiac model has been developed which accurately captures the essential dynamics of the cardiovascular system (CVS). However, identifying patient specific parameters with the limited measurements often available, ...
Hann, C.E.; Chase, Geoff; Desaive, T.; Froissart, C.B.; Revie, J.; Stevenson, D.; Lambermont, B.; Ghuysen, A.; Kolh, P.; Shaw, Geoff (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Mechanical Engineering, 2010)Lumped parameter approaches for modelling the cardiovascular system typically havemany parameters of which a significant percentage are often not identifiable from limited data sets. Hence, significant parts of the model ...
Hann, C.E.; Chase, Geoff; Desaive, T.; Froissart, C.; Revie, J.A.; Stevenson, D.; Lambermont, B.; Ghuysen, A.; Kolh, P.; Shaw, Geoff (University of Canterbury. Mechanical Engineering, 2009)Lumped parameter approaches for modeling the cardiovascular system typically have many parameters of which many are not identifiable. The conventional approach is to only identify a small subset of parameters to match ...