Multiple neural network integration using a binary decision tree to improve the ECG signal recognition accuracy
References
- Can Ye, Vijaya Kumar, B.V.K. and Coimbra, M.T. (2012).
- Combining general multi-class and specific two-class classifiers for improved customized ECG heartbeat classification, Proceedings of the 21st International Conference on Pattern Recognition (ICPR 2012), Arlington, VA, USA, pp. 2428-2431. de Chazal, P., O’Dwyer, M. and Reilly, R.B. (2004). Automatic classification of heartbeats using ECG morphology and heartbeat interval features, IEEE Transactions on Biomedical Engineering 51(7): 1196-1206.
- Chi-Hwa, S., Jun, W., Dong-Hun, S. and Won-Don, L. (2008).
- Solving multi-sensor problem with a new approach, Proceedings of the First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), Ostrava, Czech Republic, pp. 348-353.
- Haykin, S. (1999). Neural Networks. A Comprehensive Foundation, 2nd Edition, Prentice-Hall, Englewood Cliffs, NJ.
- Hu, Y.H., Palreddy, S. and Tompkins, W. (1997). A patient adaptable ECG beat classifier using a mixture of experts approach, IEEE Transactions on Biomedical Engineering 44(9): 891-900.
- Huan, R. and Pan, Y. (2011). Decision fusion strategies for SAR image target recognition, Radar, Sonar & Navigation, IET 5(7): 747-755.
- Huifang, H., Guangshu, H. and Li, Z. (2010). Ensemble of support vector machines for heartbeat classification, Proceedings of the 10th IEEE International Conference on Signal Processing (ICSP), Beijing, China, pp. 1327-1330.
- Hsu, C.W. and Lin, C.J. (2002). A comparison methods for multi class support vector machines, IEEE Transactions on Neural Networks 13(2): 415-425.
- Jang, L., Sun, C.T. and Mizutani, E. (1997). Neuro-fuzzy and Soft Computing, Prentice-Hall, Englewood Cliffs, NJ.
- Kuncheva, L. (2004). Combining Pattern Classifiers: Methods and Algorithms, Wiley, Hoboken, NJ.
- Lagerholm, M., Peterson, C., Braccini, G., Edenbrandt, L. and Sornmo, L. (1997). Clustering ECG complexes using Hermite functions and self-organizing maps, IEEE Transactions on Biomedical Engineering 47(7): 838-847.
- Ł˛eski, J. (2003). A fuzzy if-then rule-based nonlinear classifier, International Journal of Applied Mathematics and Computer Science 13(2): 215-223.
- Moody, G. and Mark, R. (2001). The impact of the MIT-BIH Arrhythmia Database, IEEE Engineering in Medicine and Biology 20(3): 45-50.
- Melgani, F. and Bazi, Y. (2008). Classification of electrocardiogram signals with support vector machines and particle swarm optimization, IEEE Transactions on Information Technology in Biomedicine 12(5): 667-677.
- Monson, L. (1997). Algorithm Alley Column: C4.5, Dr. Dobbs, http://www.drdobbs.com.
- Nikias, C. and Petropulu, A. (1993). Higher-Order Spectra Analysis: A Nonlinear Signal Processing Framework, Prentice-Hall, Englewood Cliffs, NJ.
- Osowski, S. and Tran, H.L. (2001). ECG beat recognition using fuzzy hybrid neural network, IEEE Transactions on Biomedical Engineering 48(11): 1265-1271.
- Osowski, S. and Tran, H.L. (2003). On-line heart beat recognition using Hermite polynomials and neuro-fuzzy network, IEEE Transactions on Instrumentation and Measurement 52(4): 1224-1230.
- Osowski, S., Tran, H.L. and Markiewicz, T. (2004). Support vector machine based expert system for reliable heart beat recognition, IEEE Transactions on Biomedical Engineering 51(4): 582-589.
- Osowski, S., Markiewicz, T. and Tran, H.L. (2006). Ensemble of neural networks for improved recognition and classification of arrhythmia, Proceedings of the XVIII International Measurement Confederation World Congress, Rio de Janeiro, Brazil, pp. 201-206.
- Pagano, C., Granger, E., Sabourin, R. and Gorodnichy, D.O. (2012). Detector ensembles for face recognition in video surveillance, Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, pp. 1-8.
- Quinlan, J.R (1993). C4.5 Programs for Machine Learning, Morgan Kaufmann Publishers, San Francisco, CA.
- Ramirez, E., Castillo, O. and Soria, J. (2010). Hybrid system for cardiac arrhythmia classification with fuzzy k-nearest neighbors and multi layer perceptrons combined by a fuzzy inference system, Proceedings of the 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, pp. 1-6.
- Sajedin, A., Ebrahimpour, R. and Garousi, T.Y. (2011).
- Electrocardiogram beat classification using classifier fusion based on decision templates, Proceedings of the 5th IEEE International Conference on Cybernetic Intelligent Systems (CIS), Quindao, China, pp. 7-12.
- Scholkopf, B. and Smola, A. (2002). Learning with Kernels, MIT Press, Cambridge, MA.
- Tro´c, M. and Unold, O. (2010). Self-adaptation of parameters in a learning classifier system ensemble machine, International Journal of AppliedMathematics and Computer Science 20(1): 157-174, DOI: 10.2478/v10006-010-0012-8.
- Vapnik, V. (1998). Statistical Learning Theory, Wiley, New York, NY.
- Vapnik, V. (1999). The Nature of Statistical Learning Theory, Springer, New York.
- Wo´zniak, M. and Krawczyk, B. (2012). Combined classifier based on feature space partitioning, International Journal of Applied Mathematics and Computer Science 22(4): 855-866, DOI: 10.2478/v10006-012-0063-0.
- Ying, Y., Xiao-Long, W. and Bing-Quan, L. (2004). A gradual combining method for multi-SVM classifiers based on distance estimation, Proceedings of the 3rd International Conference on Machine Learning and Cybernetics, Shanghai, China, pp. 3434-3438.
- Yujin, Z., Yihua, T., Haitao L. and Haiyan, G. (2011).
- A multi-classifier combined decision tree hierarchical classification method, Proceedings of the 2011 International Symposium on Image and Data Fusion (ISIDF), Yunnan, China, pp. 1-3. Zellmer, E., Fei, S. and Hao, Z. (2009). Highly accurate ECG beat classification based on continuous wavelet transformation and multiple support vector machine classifiers, Proceedings of the 2nd International Conference on Biomedical Engineering and Informatics, Tianjin, China, pp. 1-5.
Language: English
Page range: 647 - 655
Submitted on: May 24, 2013
Published on: Sep 25, 2014
Published by: Sciendo
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© 2014 Hoai Linh Tran, Van Nam Pham, Hoang Nam Vuong, published by Sciendo
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