Modeling and Simulation of the Central Nervous System Control
with Generic Fuzzy Models
Keywords
- Inductive Reasoning
- Fuzzy Systems
- Central Nervous System
- Cardiovascular System
- Generic Models
Abstract
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.
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Last modified: June 15, 2005 -- © François Cellier