An intelligent control of Blood Pressure system using PID and Neural Network

Author

Elamvazuthi, I. ; Aymen, O.M. ; Salih, Yasir ; Tawfeig, Huzaifa

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. Technologi PETRONAS, Tronoh, Malaysia

fYear

2013

fDate

19-21 June 2013

Firstpage

1049

Lastpage

1053

Abstract

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.

Keywords

blood vessels; drug delivery systems; drugs; haemodynamics; intelligent control; medical computing; medical control systems; multilayer perceptrons; pattern recognition; sodium compounds; MAP sensitive model; Na₂[Fe(CN)₅NO]-H₂O; PID-Neural Network; PIDNN; blood pressure system; intelligent control approach; mean arterial pressure; multilayer perception; neural network pattern predictor; simulation study; sodium nitroprusside infusion; Biomedical monitoring; Blood pressure; Conferences; Drugs; Mathematical model; Monitoring; Neural networks; Blood Pressure Control; Infusion Rate; Mean Arterial Pressure (MAP); Multilayer Perceptron (MLP); PID-Neural Network; Sodium Nitroprusside;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on

Conference_Location

Melbourne, VIC

Print_ISBN

978-1-4673-6320-4

Type

conf

DOI

10.1109/ICIEA.2013.6566522

Filename

6566522