The analysis of the human cardiovascular system by means of modeling and simulation methodologies is of relevance from a medical point of view because it allows doctors to acquire a better understanding of cardiovascular physiology, offer more accurate diagnostics, and select better suited therapies. The cardiovascular system is composed of the hemodynamical system and the central nervous system (CNS). In this work, two generic models of the CNS for patients with coronary diseases are identified by means of the fuzzy inductive reasoning (FIR) methodology. One of the models is generic only in its structure, whereas the other one is a fully generic model. It is very useful for doctors to have available a generic CNS model for a group of patients with common characteristics because this model can be used to predict the future behavior of new patients with the same characteristics.
['Àngela Nebot', 'Francisco Mugica', 'François E. Cellier', 'Montserrat Vallverdú']
Modeling and Simulation of the Central Nervous System Control with Generic Fuzzy Models