ECG signal processing for abnormalities detection using multi-resolution wavelet transform and Artificial Neural Network classifier

Measurement: Journal of the International Measurement Confederation

Volumn 46, Issue 9, 2013, Pages 3238-3246

  Rai, Hari Mohan ^a   Trivedi, Anurag ^a   Shukla, Shailja ^a  

^a JABALPUR ENGINEERING COLLEGE   (India)

Author keywords

BPN; Daubechies; DWT; ECG; FFN; MIT BIH; MLP

Indexed keywords

DISCRETE WAVELET TRANSFORMS; NEURAL NETWORKS; SIGNAL PROCESSING;

BPN; DAUBECHIES; DWT; FFN; MIT-BIH; MLP;

ELECTROCARDIOGRAPHY;

EID: 84881140221     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2013.05.021     Document Type: Article

References (29)

1. N. Maglaveras, T. Stamkapoulos, K. Diamantaras, C. Pappas, and M. Strintzis ECG pattern recognition and classification using non-linear transformations and neural networks: a review Int. J. Med. Inform. 52 1998 191 208 (Pubitemid 28529655)
2. S. Osowski, and T.H. Linh ECG beat recognition using fuzzy hybrid neural network IEEE Trans. Biomed. Eng. 48 2001 1265 1271 (Pubitemid 32988567)
3. P. de Chazal, B.G. Celler, R.B. Rei, Using wavelet coefficients for the classification of the electrocardiogram, in: Proceedings of the 22nd Annual EMBS International Conference, Chicago IL, July 23-28, 2000.
4. N. Srinivasan, D.F. Ge, S.M. Krishnan, Autoregressive modeling and classification of cardiac arrhythmias, in: Proceedings of the Second Joint Conference Houston, TX, USA, October 23-26, 2002.
5. Hafizah Hussain, Lai Len Fatt, Efficient ECG signal classification using sparsely connected radial basis function neural network, in: Proceeding of the 6th WSEAS International Conference on Circuits, Systems, Electronics, Control and Signal Processing, December 2007, pp. 412-416.
6. Marcel0 R. Risk, Jamil F. Sobh, J. Philip Saul, Beat Detection and Classification of ECG using self organizing maps, in: Proceedings - 19th International Conference - IEEEIEMBS, Chicago, IL. USA, October 30-November 2, 1997.
7. Yuksel. Ozbay, Rahime. Ceylan, and Bekir. Karlik Integration of type-2 fuzzy clustering and wavelet transform in a neural network based ECG classifier Expert Syst. Appl. 38 2011 1004 1010
8. Telemachos Stamkopoulos, Nicos Maglaveras, Konstantinos Diamantaras, and Michael Strintzis ECG Analysis using nonlinear PCA neural networks for ischemia detection IEEE Trans.signal process. 46 11 1998
9. Zumray. Dokur, and Tamer. Olmez ECG beat classification by a novel hybrid neural network Comput. Methods Prog. Biomedicine 66 2001 167 181
10. Jie Zhou, Automatic detection of premature ventricular contraction using quantum neural networks, in: Proceedings of the Third IEEE Symposium on BioInformatics and BioEngineering, 2003.
11. Omer T. Inan, Laurent Giovangrandi, and Gregory T.A. Kovacs Robust Neural-Network-Based classification of premature ventricular contractions using wavelet transform and timing interval features IEEE Trans. Biomedical Eng. 53 12 2006
12. Wei Jiang, and Seong G. Kong Block-Based Neural Networks for personalized ECG signal classification IEEE Trans. Neural Networks 18 6 2007
13. Farid Melgani, and Yakoub Bazi Classification of electrocardiogram signals with support vector machines and particle swarm optimization IEEE Trans. Inf. Technol. Biomedicine 12 5 2008
14. Shivajirao M. Jadhav, Sanjay L. Nalbalwar, Ashok A. Ghatol, ECG Arrhythmia classification using modular neural network model, in: IEEE EMBS Conference on Biomedical Engineering & Sciences (IECBES 2010), Kuala Lumpur, Malaysia, 30th November-December 2, 2010.
15. Mariano Llamedo, and Juan Pablo MartInez Heartbeat classification using feature selection driven by database generalization criteria IEEE Trans. Biomedical Eng. 58 3 2011
16. Vu Mai, Ibrahim Khalil, Christopher Meli, ECG biometric using multilayer perceptron and radial basis function neural networks, in: 33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA, August 30-September 3, 2011.
17. M.R. Homaeinezhad, S.A. Atyabi, E. Tavakkoli, H.N. Toosi, A. Ghaffari, and R. Ebrahimpour ECG arrhythmia recognition via a neuro-SVM-KNN hybrid classifier with virtual QRS image-based geometrical features Expert Syst. Appl. 39 2012 2047 2058
18. S. Issac Niwas, R. Shantha Selva Kumari, V. Sadasivam, Artificial neural network based automatic cardiac abnormalities classification, in: Proceedings of the Sixth International Conference on Computational Intelligence and Multimedia Applications, 2005.
19. Michel Misiti, Yves Misiti, Georges Oppenheim, Jean-Michel Poggi, Wavelet Toolbox for use with MATLAB, vol. 1, March 1996.
20. I. Guler, and E.D. Ubeyli ECG beat classifier designed by combined neural network model Pattern Recognition 38 2005 199 208
21. H. Ocak Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy Expert Syst. Appl. 36 2009 2027 2036
22. Richard O. Dude, Peter E. Hart, David G. Stork, Pattern Classification, second ed., John Wiley, 2002.
23. Rizwan R. Sheikh, and Imtiaz A. Taj Cardiac disorder diagnosis based on ECG segments analysis and classification IEEE Trans. Neural Networks 2009
24. Physiobank archive index, MIT-BIH arrhythmia database. < http://www.physionet.org/physiobank/database.>
25. R. Mark, G. Moody, MIT-BIH arrhythmia database directory < http://ecg.mit.edu/dbinfo.html.>.
26. Hari Mohan Rai, and Anurag Trivedi De-noising of ECG waveforms using multiresolution wavelet transform International Journal of Computer Application 45 18 2012
27. N.V. Thakor, J.G. Webster, and W.J. Tompkins Estimation of QRS complex power spectra for design of a QRS filter IEEE Trans. Biomedical Eng. BME 31 1984 702 705
28. Saurabh. Pal, and Madhuchhanda. Mitra Detection of ECG characteristic points using multiresolution wavelet analysis based selective coefficient method Measurement 43 2010 255 261
29. A.R. Sahab, and Y. Mehrzad Gilmalek An automatic diagnostic machine for ECG arrhythmias classification based on wavelet transformation and neural networks Int. J. Circuits Syst. Signal Process. 5 3 2011