%P 1049-1053
%C Melbourne, VIC
%T An intelligent control of Blood Pressure system using PID and Neural Network
%A I. Elamvazuthi
%A O.M. Aymen
%A Y. Salih
%A H. Tawfeig
%D 2013
%R 10.1109/ICIEA.2013.6566522
%O cited By 11; Conference of 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 ; Conference Date: 19 June 2013 Through 21 June 2013; Conference Code:98500
%L scholars3517
%J Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013
%X This paper presents an intelligent control approach for Blood Pressure (BP) system using PID-Neural Network (PIDNN). This paper discusses the use of PIDNN to optimize the regulation of Mean Arterial Pressure (MAP) through the infusion of Sodium Nitroprusside (SNP). Multi-layer Perception (MLP) is used as Neural Network pattern predictor. Simulation studies based on a sensitive model of MAP shows that the proposed approach is able provide a good performance. © 2013 IEEE.
%K Mean arterial pressure; Multi layer perceptron; Multi-layer perception; Network pattern; Pressure system; Simulation studies; Sodium nitroprusside, Blood pressure; Computer simulation; Industrial electronics; Intelligent control; Sodium, Neural networks