Identification of time-varying cardiac disease state using a minimal cardiac model with reflex actions

摘要

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