Eigenvector methods for automated detection of electrocardiographic changes in partial epileptic patients

IEEE Transactions on Information Technology in Biomedicine

Volumn 13, Issue 4, 2009, Pages 478-485

  Übeyli, Elif Derya ^a  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

Author keywords

Combined neural network (CNN); Electrocardiographic changes; Mixture of experts (ME); Modified mixture of experts (MME); Multilayer perceptron neural network (MLPNN); Partial epilepsy

Indexed keywords

COMBINED NEURAL NETWORK (CNN); ELECTROCARDIOGRAPHIC CHANGES; MIXTURE OF EXPERTS (ME); MODIFIED MIXTURE OF EXPERTS (MME); MULTILAYER PERCEPTRON NEURAL NETWORK (MLPNN); PARTIAL EPILEPSY;

AUTOMATION; CLASSIFIERS; COMPOSITE MICROMECHANICS; EIGENVALUES AND EIGENFUNCTIONS; ELECTRIC LOADS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; LEARNING SYSTEMS; MIXTURES; MULTILAYERS; NEURAL NETWORKS; STRUCTURES (BUILT OBJECTS);

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; ELECTROCARDIOGRAPHY; FOCAL EPILEPSY; HUMAN; METHODOLOGY; PATHOPHYSIOLOGY; ROC CURVE; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ELECTROCARDIOGRAPHY; EPILEPSIES, PARTIAL; HUMANS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 67749148286     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2008.920614     Document Type: Conference Paper

References (26)

1. F. Leutmezer, C. Schernthaner, S. Lurger, K. Pötzelberger, and C. Baumgartner, "Electrocardiographic changes at the onset of epileptic seizures," Epilepsia, vol. 44, no. 3, pp. 348-354, 2003.
2. M. Zijlmans, D. Flanagan, and J. Gotman, "Heart rate changes and ECG abnormalities during epileptic seizures: Prevalence and definition of an objective clinical sign," Epilepsia, vol. 43, no. 8, pp. 847-854, 2002.
3. B. P. Simon and C. Eswaran, "An ECG classifier designed using modified decision based neural networks," Comput. Biomed. Res., vol. 30, pp. 257-272, 1997.
4. N. Maglaveras, T. Stamkopoulos, K. Diamantaras, C. Pappas, and M. Strintzis, "ECG pattern recognition and classification using non-linear transformations and neural networks: A review," Int. J. Med. Inf. vol. 52, pp. 191-208, 1998.
5. M. Kundu, M. Nasipuri, and D. K. Basu, "Knowledge-based ECG interpretation: A critical review," Pattern Recognit., vol. 33, pp. 351-373, 2000.
6. K. Sternickel, "Automatic pattern recognition in ECG time series," Comput. Methods Program Biomed., vol. 68, pp. 109-115, 2002.
7. I. Güler and E. D. Ü beyli, "ECG beat classifier designed by combined neural network model," Pattern Recognit., vol. 38, no. 2, pp. 199-208, 2005.
8. N. Kwak and C.-H. Choi, "Input feature selection for classification problems," IEEE Trans. Neural Netw., vol. 3, no. 1, pp. 143-159, Jan. 2002.
9. I. Güler and E. D. Ü beyli, "Feature saliency using signal-to-noise ratios in automated diagnostic systems developed for ECG beats," Exp. Syst. Appl., vol. 28, no. 2, pp. 295-304, 2005.
10. E. D. Ü beyli and I. Güler, "Feature extraction from Doppler ultrasound signals for automated diagnostic systems," Comput. Biol. Med., vol. 35, no. 9, pp. 735-764, 2005.
11. K. Chen, "A connectionist method for pattern classification with diverse features," Pattern Recognit. Lett., vol. 19, no. 7, pp. 545-558, 1998.
12. L. Xu, A. Krzyzak, and C. Y. Suen, "Methods of combining multiple classifiers and their applications to handwriting recognition," IEEE Trans. Syst., Man, Cybern., vol. 22, no. 3, pp. 418-435, May/Jun. 1992.
13. K. Chen, L. Wang, and H. Chi, "Methods of combining multiple classifiers with different features and their applications to text-independent speaker identification," Int. J. Pattern Recognit. Artif. Intell., vol. 11, no. 3, pp. 417-445, May 1997.
14. S. C. Saxena, V. Kumar, and S. T. Hamde, "Feature extraction from ECG signals using wavelet transforms for disease diagnostics," Int. J. Syst. Sci., vol. 33, no. 13, pp. 1073-1085, 2002.
15. P. S. Addison, J. N. Watson, G. R. Clegg, M. Holzer, F. Sterz, and C. E. Robertson, "Evaluating arrhythmias in ECG signals using wavelet transforms," IEEE Eng. Med. Biol., vol. 19, no. 5, pp. 104-109, Sep./Oct. 2000.
16. I. Güler and E. D. Ü beyli, "An expert system for detection of electrocardiographic changes in patients with partial epilepsy using wavelet-based neural networks," Exp. Syst., vol. 22, no. 2, pp. 62-71, 2005.
17. E. D. Ü beyli and I. Güler, "Detection of electrocardiographic changes in partial epileptic patients using Lyapunov exponents with multilayer perceptron neural networks," Eng. Appl. Artif. Intell. vol. 17, no. 6, pp. 567-576, Sep. 2004.
18. M. Akay, J. L. Semmlow, W. Welkowitz, M. D. Bauer, and J. B. Kostis, "Noninvasive detection of coronary stenoses before and after angioplasty using eigenvector methods," IEEE Trans. Biomed. Eng., vol. 37, no. 11, pp. 1095-1104, Nov. 1990.
19. E. D. Ü beyli and I. Güler, "Comparison of eigenvector methods with classical and model-based methods in analysis of internal carotid arterial Doppler signals," Comput. Biol. Med., vol. 33, no. 6, pp. 473-493, 2003.
20. A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. Ch. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C. K. Peng, and H. E. Stanley, "Physiobank, Physiotoolkit, and Physionet: Components of a new research resource for complex physiologic signals," Circulation, vol. 101, no. 23, pp. e215-e220, Jun. 13, 2000, [Circulation Electronic Pages; [Online]. Available: http://circ.ahajournals.org/cgi/content/full/101/23/e215].
21. R. A. Jacobs, M. I. Jordan, S. J. Nowlan, and G. E. Hinton, "Adaptive mixtures of local experts," Neural Comput., vol. 3, no. 1, pp. 79-87, 1991.
22. K. Chen, L. Xu, and H. Chi, "Improved learning algorithms for mixture of experts in multiclass classification," Neural Netw., vol. 12, no. 9, pp. 1229-1252, 1999.
23. X. Hong and C. J. Harris, "A mixture of experts network structure construction algorithm for modelling and control," Appl. Intell., vol. 16, no. 1, pp. 59-69, 2002.
24. M. I. Jordan and R. A. Jacobs, "Hierarchical mixture of experts and the EM algorithm," Neural Comput., vol. 6, no. 2, pp. 181-214, 1994.
25. I. Güler and E. D. Ü beyli, "A mixture of experts network structure for modelling Doppler ultrasound blood flow signals," Comput. Biol. Med., vol. 35, no. 7, pp. 565-582, 2005.
26. D. H. Wolpert, "Stacked generalization," Neural Netw., vol. 5, pp. 241-259, 1992.