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Artificial Neural Network based Electrocardiogram Classification for Biometric Authentication

by P. S. Gawande, S. A. Ladhake
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 2
Year of Publication: 2015
Authors: P. S. Gawande, S. A. Ladhake
10.5120/19158-0601

P. S. Gawande, S. A. Ladhake . Artificial Neural Network based Electrocardiogram Classification for Biometric Authentication. International Journal of Computer Applications. 109, 2 ( January 2015), 6-9. DOI=10.5120/19158-0601

@article{ 10.5120/19158-0601,
author = { P. S. Gawande, S. A. Ladhake },
title = { Artificial Neural Network based Electrocardiogram Classification for Biometric Authentication },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 2 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number2/19158-0601/ },
doi = { 10.5120/19158-0601 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:43:43.367475+05:30
%A P. S. Gawande
%A S. A. Ladhake
%T Artificial Neural Network based Electrocardiogram Classification for Biometric Authentication
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 2
%P 6-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this study, Multilayer Perceptron (MLP) neural network model is used for the classification of electrocardiogram (ECG) signals. Out of twelve leads recorded lead II, single lead, is used for analysis. ECG samples from eight normal individuals are recorded regularly almost every month for thirty six months. Input to the network is feature vector matrix of ten features and seven statistical and three morphological features are extracted. MLP networks with single hidden layer are trained with three runs and one thousand epochs. The testing results demonstrate that the neural network is effective tool for this application and the accuracy of 99.76 is observed during experimentation.

References
  1. L. Biel, O. Petersson, L. P. PhilipsonWide,"ECG Analysis: a new approach in human identification," IEEE Trans. on Instrumentation and Measurement,Vol. 50(3), pp. 808–812 (2001).
  2. A. K. Jain,A. Ross, S. Prabhakar, "An introduction to biometric recognition," IEEE Trans. Circuits. Syst. Video 14(0), 4–20 (2004).
  3. Fahim Sufi, Ibrahim Khalil, and JiankunHu,"ECG-Based Authentication," Handbook of information and Communication Security, Springer 2010.
  4. Y. Wang, F. Agrafioti, D. Hatzinakos, K. N. Plataniotis,"Analysis of human electrocardiogram for biometricrecognition," EURASIP Journal on Advances in Signal Process. , Volume2008, 148658 (2008). Steven Bowbrick, Alex N. Borg, ECG Complete, Elsevier Limited, 2006.
  5. T. W. Shen,W. J. Tompkins, Y. H. Hu, "One-lead ECG for identity verification,"In Second Joint EMBS/BMES Conference Housten, TX USA (2002) pp. 62–63.
  6. S. A. Israel, J. M. Irvine, A. Cheng, M. D. Wiederhold, B. K. Wiederhold,"ECG to identify individuals,"Journal of Pattern Recognition Society. 38(2005), pp. 133–142.
  7. Chan, Adrian D. C. ; Hamdy, Mohyledin M. ;Badre, Armin; Badee, Vesal, "Wavelet Distance Measure for Person Identification Using Electrocardiograms," IEEETransactions On Instrumentation And Measurement, Vol. 57, No. 2, pp. 3-16, February 2008.
  8. Yongbo Wan and JianchuYao,"A Neural Network to Identify Human Subjects with Electrocardiogram Signals," Proceedings of the World Congress on Engineering and Computer Science 2008, WCECS 2008.
  9. Yongjin Wang, FoteiniAgrafioti, DimitriosHatzinakos, Konstantinos N. Plataniotis, "Analysis of Electrocardiogram (ECG) for Biometric Recognition", Journal on Advances in Signal Processing, Volume 2008, Article ID 148658.
  10. P. S. Gawande, S. A. Ladhake, "Investigation: Use of Electrocardiogram as a biometric over Longer Time Period", International Conference on Signal Processing and Communication (ICSC-2013), Dec 2013.
  11. Simon Haykin, "Neural Networks and Learning Machines", Third Edition, Pearson Education
  12. S. M. Jadhav, Dr. S. L. Nalbalwar, Dr. Ashok A. Ghatol, "Artificial Neural Network Based Cardiac Arrhythmia Classification Using ECG Signal Data", in Proc. Int. Conference on Electronics and Information Engineering ICEIE 2010, Japan, 2.
Index Terms

Computer Science
Information Sciences

Keywords

ECG Biometrics Multilayer Perceptron Neurosolutions

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