Experimentally verified minimal cardiovascular system model for rapid diagnostic assistance

摘要

Characterising circulatory dysfunction and choosing a suitable treatment is often difficult and time consuming. This paper outlines a numerically stable minimal model of the human cardiovascular system (CVS) specificallyaimed for rapid, on site modeling to assist in diagnosis and treatment. A minimal number of governing equations and a realistic valve law are used to accurately capture trends in CVS dynamics. The model is shown to havelong-term stability and consistency with non-specific initial conditions. Examples of model verification are shown for experimentally measured static and transient response data. The model is also verified to capture commonlyseen changes in CVS function as a result of disease. These examples illustrate the power of the minimal model for capturing CVS dynamics in health anddisease, while its simplicity enables its use as a clinical aid.