Arrhytmia classification using fuzzy-neuro generalized learning vector quantization

ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings

Volumn , Issue , 2011, Pages 385-390

  Setiawan, I Made Agus ^a   Imah, Elly M ^b   Jatmiko, Wisnu ^c  

^a UDAYANA UNIVERSITY   (Indonesia)

^b UNIVERSITAS NEGERI SURABAYA   (Indonesia)

^c UNIVERSITY OF INDONESIA   (Indonesia)

Author keywords

[No Author keywords available]

Indexed keywords

ARRHYTMIA; CLASSIFICATION PERFORMANCE; CLASSIFICATION SYSTEM; CROSS VALIDATION; DATA PREPROCESSING; DISCRIMINANT FUNCTIONS; ECG SIGNALS; ELECTROCARDIOGRAM SIGNAL; EUCLIDEAN DISTANCE; FEATURE EXTRACTION AND CLASSIFICATION; GENERALIZED LEARNING VECTOR QUANTIZATION; HEART BEATS; PIVOT POINT; ROBUST ALGORITHM; THREE COMPONENT; WAVELET ALGORITHMS;

ALGORITHMS; COMPUTER SCIENCE; DISEASES; ELECTROCARDIOGRAPHY; FEATURE EXTRACTION; FUZZY LOGIC; INFORMATION SYSTEMS;

VECTOR QUANTIZATION;

EID: 84857290782     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. T. Yeap, F. Johnson, and M. Rachniowski, "Ecg beat classification by a neural network," in Engineering in Medicine and Biology Society, 1990., Proceedings of the Twelfth Annual International Conference of the IEEE, pp. 1457-1458, nov 1990.
2. Y. Ozbay and B. Karlik, "A recognition of ecg arrhytihemias using artificial neural networks," in Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE, vol. 2, pp. 1680-1683 vol.2, 2001.
3. R. Ceylan and Y. Özbay, "Comparison of fcm, pca and wt techniques for classification ecg arrhythmias using artificial neural network," Expert Syst. Appl., vol. 33, pp. 286-295, August 2007. (Pubitemid 46150036)
4. G. Karraz and G. Magenes, "Automatic classification of heartbeats using neural network classifier based on a bayesian framework," in Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE, pp. 4016-4019, 30 2006-sept. 3 2006.
5. T. P. Exarchos, M. G. Tsipouras, C. P. Exarchos, C. Papaloukas, D. I. Fotiadis, and L. K. Michalis, "A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree," Artif. Intell. Med., vol. 40, pp. 187-200, July 2007. (Pubitemid 47048715)
6. B. Anuradha and V. C. V. Reddy, "Cardiac arrhythmia classification using fuzzy classifiers," Journal of Theoretical and Applied Information Technology, 2008.
7. C. C. Yeh Y.-C., Wang W.-J., "Heartbeat case determination using fuzzy logic method on ecg signals," International Journal of Fuzzy Systems, 2009.
8. H. Zhang and L.-Q. Zhang, "Ecg analysis based on pca and support vector machines," in Neural Networks and Brain, 2005. ICNN B '05. International Conference on, vol. 2, pp. 743-747, oct. 2005.
9. J. A. Nasiri, M. Naghibzadeh, H. S. Yazdi, and B. Naghibzadeh, "Ecg arrhythmia classification with support vector machines and genetic algorithm," in Proceedings of the 2009 Third UKSim European Symposium on Computer Modeling and Simulation, EMS '09, (Washington, DC, USA), pp. 187-192, IEEE Computer Society, 2009.
10. F. Melgani and Y. Bazi, "Classification of electrocardiogram signals with support vector machines and particle swarm optimization," Information Technology in Biomedicine, IEEE Transactions on, vol. 12, pp. 667-677, sept. 2008.
11. R. Ghongade and A. Ghatol, "A brief performance evaluation of ecg feature extraction techniques for artificial neural network based classification," in TENCON 2007 - 2007 IEEE Region 10 Conference, pp. 1-4, 30 2007-nov. 2 2007.
12. I. M. A. Setiawan, E. Matul, N. W. Pambudi, and W. Jatmiko, "Heart beat classification using wavelet feature," International Conference on Advance Computer Science and Information System. ICACSIS 2010, Nov 2010.
13. W. Jatmiko, P. Pambudi, N., I. Matul, E., M. A. Setiawan, I., and P. Mursanto, "Heart beat classification using wavelet feature based on neural network," Word Scientific and Engineering Academi and Society (WSEAS) TRANSACTIONS on SYSTEMS, vol. 10, 2011.
14. A. Sato and K. Yamada, "Generalized learning vector quantization,"Advances in Neural Information Processing Systems (NIPS), vol. 7, pp. 423-429, 1995.
15. G. B. Moody, "Mit-bih arrhythmia database." http://physionet.org/physiobank/database/html/mitdbdir/mitdbdir.htm. May 1997.
16. J. A. van, W. E. van, and O. Hermann, "Ecg baseline wander reduction using linear phase filters," Computers and Biomedical Research, vol. 19, no. 5, pp. 417-427, 1986.
17. C. Meyer and H. Keiser, "Electrocardiogram baseline noise estimation and removal using cubic splines and state-space computation techniques," Computers and Biomedical Research, vol. 10, no. 5, pp. 459-470, 1977. (Pubitemid 8210333)
18. C. Li, C. Zheng, and C. Tai, "Detection of ecg characteristic points using wavelet transforms.," IEEE Transactions on Biomedical Engineering, vol. 42, no. 1, pp. 21-28, 1995.
19. A. Sato and K. Yamada, "A formulation of learning vector quantization using a new misclassification measure," in Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1, ICPR '98, (Washington, DC, USA), pp. 322-, IEEE Computer Society, 1998.
20. T. Kohonen, "Improved versions of learning vector quantization,"International Joint Conferenceon Neural Networks, vol. 1, p. 545550, 1990.
21. A. Sato, "An analysis of initial state dependence in generalized lvq," in Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470), vol. 2, pp. 928-933 vol.2, 1999.
22. B. Kusumoputro, H. Budiarto, and W. Jatmiko, "Fuzzy-neuro lvq and its comparison with fuzzy algorithm lvq in artificial odor discrimination system," ISA Transactions, vol. 41, no. 4, pp. 395-407, 2002.