A first approach on fault detection and isolation for cardiovascular anomalies detection

In this paper, we use an extended version of the cardiovascular system´s state space model presented by [1] and propose a fault detection and isolation methodology to study the problem of detecting cardiovascular anomalies that can originate from variations in physiological parameters and deviations in the performance of the heart´s mitral and aortic valves. An observer-based approach is discussed as the basis of the method. The approach contemplates a bank of Extended Kalman Filters to achieve joint estimation of the model´s states and parameters and to detect malfunctions in the valves´ performance.