14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper WeB4.5

Hann, Christopher E (Univ. of Canterbury), Andreassen, Steen (Aalborg Univ.), Smith, Bram W (Aalborg Univ.), Shaw, Geoffrey M (Christchurch Hospital, Canterbury District Health Board), Chase, J. Geoffrey (Univ. of Canterbury), Jensen, Per L (Department of Cardiology, Aalborg Hospital)

Identification of Time Varying Cardiac Disease State Using a Minimal Cardiac Model with Reflex Actions

Scheduled for presentation during the Invited Session "Biomedical Parameter Identification: Methods and Clinical Applications" (WeB4), Wednesday, March 29, 2006, 16:50−17:10, Cummings Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 17, 2018

Keywords Biological Systems, Identification for Control, Model Validation


A minimal cardiac model that accurately captures the essential cardio-vascular system dynamics has been developed. Standard parameter identification methods for this model are highly non-linear and non-convex, hindering clinical application, given the limited measurements available in an intensive care unit. This paper presents an integral based identification method that transforms the problem into a linear, convex problem. Five common disease states including four fundamental types of shock, are identified to within 10% without false identification. Clinically, it enables medical staff to rapidly obtain a patient specific model to assist in diagnosis and therapy selection.