Design of NeuroFuzzy System for Multivariable Blood Pressure Control

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