CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
Reseach Article

Regulate the Efficiency of Cardiac Pacemaker based on Predictive Controller and Neural Predictive Controller

by Noor Safaa Abdul-Jaleel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 168 - Number 5
Year of Publication: 2017
Authors: Noor Safaa Abdul-Jaleel
10.5120/ijca2017914403

Noor Safaa Abdul-Jaleel . Regulate the Efficiency of Cardiac Pacemaker based on Predictive Controller and Neural Predictive Controller. International Journal of Computer Applications. 168, 5 ( Jun 2017), 20-23. DOI=10.5120/ijca2017914403

@article{ 10.5120/ijca2017914403,
author = { Noor Safaa Abdul-Jaleel },
title = { Regulate the Efficiency of Cardiac Pacemaker based on Predictive Controller and Neural Predictive Controller },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2017 },
volume = { 168 },
number = { 5 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume168/number5/27871-2017914403/ },
doi = { 10.5120/ijca2017914403 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:15:19.438549+05:30
%A Noor Safaa Abdul-Jaleel
%T Regulate the Efficiency of Cardiac Pacemaker based on Predictive Controller and Neural Predictive Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 168
%N 5
%P 20-23
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Heart disease is one of more serious diseases which are considered as the first reason that causes deaths in the world. Therefore, the need arises to find new ways to maintain the safety of patients. The pacemaker is the important device that helps for regulating the heart rate and ensures its survival in the normal range of human heart. This paper proposed methods to control the pacemaker based on the model predictive control and neural predictive control. The results show the model predictive control with neural network gives the better performance with zero overshoot.

References
  1. Girisha Garg, Asha Rani and Jyoti Yaday, "Intelligent Heart Rate Controller for Cardiac Pacemaker", International Journal of Computer Applications, ISSN: (0975 – 8887), Volume 36– No.7, December 2011.
  2. Achu Govind K. R, Aravind Sekhar R, Vinod B. R, "A Novel Design of Adaptive PID Controller for Cardiac Pacemaker", International Journal of Science and Research (IJSR), ISSN (Online): 2319-7064, Volume 3 Issue 10, October 2014.
  3. J. W. Shin, J. H. Yoon and. R. Yoon, 2000, "A Study on the Rate-Adaptive Pacemaker by Motion and Respiration using Neuro-Fuzzy", Annual EMBS International Conference, (July 2000).
  4. Neogi, B. ,Ghosh, R., Tarafdar U. and Das A., "Simulation aspect of an artificial pacemaker", Int. Journal. Inf. Tech., pp. 723-727July-Dec. 2010.
  5. Adam Wojtasik, 2000, "Fuzzy logic controller for rate-adaptive heart pacemaker", Journal of applied soft computing, pp. 259-270, Aug. 2000.
  6. Xiaowei Wu and Jinggang Zhang, "A Novel Design of PID Controller for Multivariable Control System", IEEE Conference, 2008.
  7. Jyoti Yadav, Asha Rani, Girisha Garg, "Intelligent Heart Rate Controller for Cardiac Pacemaker", International Journal of Computer Applications, 2011.
  8. Steven W. Su., et al., "Nonparametric Hammerstein Model Based Model Predictive Control for Heart Rate Regulation", Conference of the IEEE EMBS, pp. 2984-2987, 23-26 August, 2007.
  9. Noor S., "Video based Fire Detection using BFO Algorithm with Moving Camera", International Journal of Computer Applications, Vol. 118, No. 16, May 2015.
  10. Kourosh Rahnamai and Kevin Gorman Andrew Gray, "Model Predictive Neural Control of TCP Flow in AQM Network", IEEE, USA, 2006.
  11. The MathWorks http://www.mathworks.com, 2016.
Index Terms

Computer Science
Information Sciences

Keywords

Model predictive control neural predictive control pacemaker heart rate.