Abstract:
The objective of this research is to design an intelligent control
system, to investigate the advantages of using Fuzzy Logic and neural
networks multivariable blood pressure.
Algorithm has been designed, use neural network in learning and
fuzzy reasoning stage, was been combined as a proposed system to
regulate the blood pressure efficiently as possible. The proposed system
work by obtained a blood pressure data from measured system to be
inputs for neural network, then network decided the rate of blood pressure
are very low, low, normal, high and very high. After hat network give it
outputs to be inputs for fuzzy system to decide which rate of drugs must
been calculated, then give that output to infusion pump.
This algorithm is applied to multivariable blood pressure control;
simulation results show acceptable performance levels
