eprintid: 3517
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/35/17
datestamp: 2023-11-09 15:51:46
lastmod: 2023-11-09 15:51:46
status_changed: 2023-11-09 15:47:00
type: conference_item
metadata_visibility: show
creators_name: Elamvazuthi, I.
creators_name: Aymen, O.M.
creators_name: Salih, Y.
creators_name: Tawfeig, H.
title: An intelligent control of Blood Pressure system using PID and Neural Network
ispublished: pub
keywords: 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
note: 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
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. © 2013 IEEE.
date: 2013
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881441210&doi=10.1109%2fICIEA.2013.6566522&partnerID=40&md5=5a1f1bce8766ca389a00b02fbc0abace
id_number: 10.1109/ICIEA.2013.6566522
full_text_status: none
publication: Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013
place_of_pub: Melbourne, VIC
pagerange: 1049-1053
refereed: TRUE
isbn: 9781467363211
citation:   Elamvazuthi, I. and Aymen, O.M. and Salih, Y. and Tawfeig, H.  (2013) An intelligent control of Blood Pressure system using PID and Neural Network.  In: UNSPECIFIED.