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Developing Resource Efficient Heart Arrhythmia Classifier

by Atif Jan, Numan Khurshid, Muhammad Irfan Khattak
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 16
Year of Publication: 2015
Authors: Atif Jan, Numan Khurshid, Muhammad Irfan Khattak
10.5120/19274-1014

Atif Jan, Numan Khurshid, Muhammad Irfan Khattak . Developing Resource Efficient Heart Arrhythmia Classifier. International Journal of Computer Applications. 109, 16 ( January 2015), 35-39. DOI=10.5120/19274-1014

@article{ 10.5120/19274-1014,
author = { Atif Jan, Numan Khurshid, Muhammad Irfan Khattak },
title = { Developing Resource Efficient Heart Arrhythmia Classifier },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 16 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number16/19274-1014/ },
doi = { 10.5120/19274-1014 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:58.690373+05:30
%A Atif Jan
%A Numan Khurshid
%A Muhammad Irfan Khattak
%T Developing Resource Efficient Heart Arrhythmia Classifier
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 16
%P 35-39
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents development of optimal digital circuit for the Heart Disease Classification using Cartesian Genetic Programming (CGP) for different types of arrhythmia. Extensive research work has already been carried out in this domain but non-linear nature of the technique remained one of the hurdles in its hardware prototyping. Efficient circuit development for resource constraint environment of the classifier remained an unsolved problem due to its algorithmic complexity. CGP system is trained to generate a classifier circuit based upon the fiducial points extracted out of the Electrocardiography (ECG) signals of dataset. Experimental results reported on heart disease data from machine learning repository of MIT-BIH showed satisfactory results as compare to other contemporary methods used in the field.

References
  1. G. B. Moody, R. G. Mark. "The impact of the MIT-BIH Arrhythmia Database". IEEE Eng in Med and Biol 20(3):45-50 (May-June 2001).
  2. J. F. Miller. , P. Thomson, , "Cartesian Genetic Programming", vol. 1802, P 121-132, Jan 2000
  3. K. Polat, , S. Güne?, , and S. Tosun, , "Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing," Pattern Recognition. vol. 39, no. 11, pp. 2186–2193, Nov. 2006.
  4. K. U. Rani, , "Analysis of heart diseases dataset using ANN," vol. 1, no. 5, pp. 1–8, 2011.
  5. K. S. Kavitha, , K. V Ramakrishnan, , and M. K. Singh, , "Modeling and design of evolutionary neural network for heart disease detection," vol. 7, no. 5, 2010.
  6. N. Islam, N. Imtiaz, and B. Hamid, , "Detection of Some Major Heart Diseases Using Fractal Analysis," vol. 4, no. 2, pp. 63–70.
  7. J. F. Miller, , Cartesian Genetic Programming, Springer, 2011.
  8. N. Nisan, , "Pseudorandom generators for space-bounded computation,"Combinatorica, vol. 12, no. 4, pp. 449–461, 1992.
  9. M. Irfan, , Q. Habib, G. M Hassan. , K. M. Yahya, , S. Hayat, . , "Combinational digital circuit synthesis using Cartesian Genetic Programming from a NAND gate template," Emerging Technologies (ICET), 2010 6th International Conference on , vol. , no. , pp. 343,347, 18-19 Oct. 2010
  10. S. L. Smith, "Cartesian Genetic Programming and its Application to Medical Diagnosis," Computational Intelligence Magazine, IEEE, vol. 6, no. 4, pp. 56,67, Nov. 2011
  11. A. M. Ahmad, G. M. Khan, and S. A. Mahmud, ,"Classification of Arrhythmia Types Using Cartesian Genetic Programming Evolved Artificial Neural Networks," pp. 282- 291, 2013.
  12. J. F. Miller, "An empirical study of the efficiency of learning boolean functions using a Cartesian Genetic Programming approach", "Proceedings of the Genetic and Evolutionary Computation Conference", Florida, USA, 1999
  13. Abdel-Alim, O. ; Hamdy, N. ; El-Hanjouri, M. A. , "Heart diseases diagnosis using heart sounds," Radio Science Conference, 2002. (NRSC 2002). Proceedings of the Nineteenth National , vol. , no. , pp. 634,640, 2002
Index Terms

Computer Science
Information Sciences

Keywords

Cartesian Genetic Programming Neuro-evolution CVD Cardiac Arrhythmias Classification Fiducial points LBBB beats RBBB beats.

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