STUDY OF NON - LINEAR ESTIMATION METHODS ON PARAMETERS OF CARDIOVASCULAR SYSTEM

Abstract

The comparative study of three non-linear estimation procedures based on Extended Kalman Filter, Iterated Extended Kalman Filter & Modified Extended Kalman Filter for the estimation of systemic circulation model parameters during the period of cardiac ejection is presented. These estimation procedures can be used in real-time applications. All the estimation procedures described here estimate State variables & Model parameters simultaneously. It is assumed that only Aortic pressure and flow data contaminated with noise are available. The performance of estimators is evaluated by using these data obtained from computer simulation. The estimators require the initialization of model parameters. These model parameters are initialized to incorrect values. The Cardiovascular Model (CV Model) taken for the purpose is electrical analogue of human heart. The Model is non-linear & consists of lumped elements.