Modeling and 2-sensor blind identification of human cardiovascular system

This paper presents modeling and blind identification of human cardiovascular system. In contrast to the population-based methods widespread in current practice, the proposed method does not require any a priori knowledge of the cardiovascular system. This paper develops a human cardiovascular system model, analyzes its identifiability, and identifies the model using two diametric blood pressure measurements. The aortic blood pressure reconstructed using the identified model can eliminate the use of invasive aortic blood pressure measurement for cardiovascular monitoring. Results based on the data from a realistic human cardiovascular system simulator demonstrate the validity of the proposed model and identification method.