ECG signal classification using block-based neural networks

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2005, Pages 326-331

  Jiang, Wei ^a   Kong, Seong G ^a   Peterson, Gregory D ^a  

^a University of Tennessee   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; DIGITAL DEVICES; FEATURE EXTRACTION; GENETIC ALGORITHMS; NEURAL NETWORKS; PATIENT MONITORING; SIGNAL PROCESSING;

ARRHYTHMIA; BLOCK-BASED NEURAL NETWORKS (BBNNS); HEALTH MONITORING; SIGNAL CLASSIFICATION;

ELECTROCARDIOGRAPHY;

EID: 33745946653     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1555851     Document Type: Conference Paper

References (17)

1. P. de Chazal, M. O'Dwyer, and R. B. Reilly, "Automatic Classification of Heartbeats Using ECG Morphology and Heartbeat Interval Features," IEEE Trans. on Biomedical Engineering, Vol. 51, No. 7, pp.1196-1206, July 2004.
2. C. Alexakis, H. O. Nyongesa, R. Saatchi, N. D. Harris, C. Davis, C. Emery, R. H. Ireland, and S. R. Heller, "Feature Extraction and Classification of Electrocardiogram (ECG) Signals Related to Hypoglycaemia," Computers in Cardiology, Vol. 30, pp.537-540, 2003.
3. I. Romero and L. Serrano, "ECG Frequency Domain Features Extraction: A New Characteristic for Arrhythmias Classification," Proc. Int'l. Conf. on Engineering in Medicine and Biology Society (EMBS'2001), pp.2006-2008, October 2001.
4. P. de Chazal and R. B. Reilly, "A Comparison of the ECG Classification Performance of Different Feature Sets," Computers in Cardiology, Vol. 27, pp.327-330, 2000.
5. S. Osowski, L. T. Hoai, and T. Markiewicz, "Support Vector Machine-based Expert System for Reliable Heartbeat Recognition," IEEE Trans. on Biomedical Engineering, Vol. 51, No. 4, pp.582-589, April 2004.
6. Y. H. Hu, W. J. Tompkins, J. L. Urrusti, and V. X. Afonso, "Applications of Artificial Neural Networks for ECG Signal Detection and Classification," Journal of Electrocardiology, Vol. 26. (Suppl.), pp.66-73, 1994.
7. M. Lagerholm, C. Peterson, G. Braccini, L. Edenbrandt, and L. Sörnmo, "Clustering ECG Complexes Using Hermite Functions and Self-organizing Maps," IEEE Trans. on Biomedical Engineering, Vol. 47, No. 7, pp.838-848, July 2000.
8. S. W. Moon and S. G. Kong, "Block-based Neural Networks," IEEE Trans. on Neural Networks, Vol. 12, No. 2, pp.307-317, March 2001.
9. S. W. Moon and S. G. Kong, "Pattern Recognition with Block-based Neural Networks," Proc. Int'l J. Conf. on Neural Networks (IJCNN-2002), pp.992-996, May 2002.
10. S. G. Kong, "Time Series Prediction with Evolvable Block-based Neural Networks," Proc. Int'l J. Conf. on Neural Networks (UCNN-2004), July 2004.
11. T. Bäck, "Generalized Convergence Models for Tournament-and (μ, λ)-Selection," Proc. Int'l Conf. on Genetic Algorithms (ICGA-95), pp.2-8, 1995.
12. T. Blickle and L. Thiele, "A Mathematical Analysis of Tournament Selection," Proc. Int'l Conf. on Genetic Algorithms (ICGA-95), pp.9-16, 1995.
13. B. A, Julstrom, "It's All the Same to Me: Revisiting Rank-based Probabilities and Tournaments," Proc. Congress on Evolutionary Computation (CEC-99), Vol. 2, pp. 1501-1505, 1999.
14. J. Sarma and K. De Jong, "An Analysis of Local Selection Algorithms in a Spatially Structured Evolutionary Algorithm," Proc. Int'l Conf. on Genetic Algorithms (ICGA-97), pp. 181-186, 1997.
15. R. Mark and G. Moody, MIT-BIH Arrhythmia Database Directory (http://ecg.mit.edu/dbinfo.html).
16. Association for the Advancement of Medical Instrumentation, Recommended Practice for Testing and Reporting Performance Results of Ventricular Arrhythmia Detection Algorithms, 1987.
17. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Recognition, 2nd Edition. New York: Wiley-Interscience, 2000.