Data compression and feature extraction of ecg signals

International Journal of Systems Science

Volumn 28, Issue 5, 1997, Pages 483-498

  Saxena, S C ^a   Sharma, A ^a   Chaudhary, S C ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; DATA COMPRESSION; DATABASE SYSTEMS; ELECTRIC NETWORK TOPOLOGY; FEATURE EXTRACTION; INTERFERENCE SUPPRESSION; NEURAL NETWORKS; SIGNAL PROCESSING;

ERROR BACK PROPAGATION (EBP); SIGNAL RETRIEVAL;

ELECTROCARDIOGRAPHY;

EID: 0031142333     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207729708929409     Document Type: Article

References (31)

1. Abenstein, J. P., and Tompkins, W. J., 1982, A new data-reduction algorithm for real-time ECG analysis. IEEE Transactions on Biomedical Engineering, 29, 43-48.
2. Ahmed, N., Milne, P. J., and Harkis, S. G., 1975, Electrocardiographic data compression via orthogonal transforms. IEEE Transactions on Biomedical Engineering, 22, 484-487.
3. Cady, L. D., Woodbury, M. A., Hck, L. J., and Gertler, M. M., 1961, A method for electrocardiogram wave-pattem estimation. Circulation Research, 9, 1078-1082.
4. Carpenter, G. A., Grossberg, S., and Reynolds, J. H., 1995, A fuzzy artmap nonparametric probability estimator for nonstationary pattern recognition problems. IEEE Transactions on Neural Networks, 6(6), 1330-1336.
5. Cox, J. R., Fozzard, H. A., Nolle, F. M., and Oliver, G. G, 1974, Some data transformations useful in electrocardiography. Computers and Biomedical Research, Vol. Ill, edited by R. W. Stacy and B. D. Waxman (New York: Academic), pp. 181-206.
6. Cox, J. R., Nolle, F. M., and Arthur, R. M., 1972, Digital analysis of the electroencephalogram, the blood pressure wave, and the ECG. Proceedings of the IEEE, 60, 1137-1164.
7. Eberhart, R.G, and Dobbins, R. W., 1990, Neural Network PC Tools: A Practical Guide (San Diego, California, U.S.A.: Academic Press), pp. 35-47.
8. Furht, B., and Perez, A., 1988, An adaptive real-time ECG compression algorithm with variable threshold. IEEE Transactions on Biomedical Engineering, 35, 489-494.
9. Gardbnhirb, L.W., 1964, Redundancy reduction—the Key to adaptive telemetry. Proceedings of the National Telemetry Conference, pp. 1-16;
10. Gardbnhirb, L.W., 1965, Data compression for biomedical telemetry, in Biomedical Telemetry, edited by C. A. Caceres (New York: Academic Press), Chapter 11.
11. Giakoumakis, E. A., and Papakonstantinou, G, 1986, An ECG data reduction algortihm. Proceedings of Computers in Cardiology, Boston, Massachusetts, U.S.A., pp. 675-677.
12. Hambley, A. R., Moruzzi, R. L., and Feldman, C. L., 1974, The use of intrinsic components in an ECG filter. IEEE Transactions on Biomedical Engineering, 21, 469-479.
13. Ibiyemi, T. S., 1986, A novel data compression technique for electrocardiogram classification. Engineering in Medicine, 15(1), 35-38.
14. Imai, H., Kimura, N., and Yoshida, Y, 1985, An efficient encoding method for electrocardiography using spline functions. Systems and Computers in Japan, 16(3), 85-94.
15. Ishijima, M., Shin, S.-B., Hosteter, G. H., and Sklansky, J., 1988, Scan-along polygonal approximation for data compression of electrocardiograms. IEEE Transactions on Biomedical Engineering, 30(11), 723-729.
16. Iwata, A., Nagasaka, Y, and Suzumura, N., 1990, Data compression of the ECG using neural network for digital Holter monitoring. IEEE Engineering in Medicine and Biology Magazine, 9(3), 53-57.
17. Kraauveld, M. A., Mao, J„ and Jain, A. K., 1995, A nonlinear projection method based on Kohonen’s topology preserving maps. IEEE Transactions on Neural Networks, 6(3), 548-559.
18. Lachiver, G., Eichner, J. M., Bessette, F., and Seufbrt, W, 1986, An algorithm for ECG data compression using spline functions. Computers in Cardiology, Boston, Massachusetts, U.S.A., pp. 575-578.
19. Lowenberg, E. C., 1960, Signal theory applied to the analysis of electrocardiograms. IRE Transactions on Medical Electronics, 7, 7-12.
20. Mao, J., and Jain, A. K., 1995, Artificial neural networks for feature extraction and multivariate data projection. IEEE Transactions on Neural Networks, 6(2), 296-317.
21. Millbb, A. S., Blott, B. H., and Hames, T. K., 1992, Review of neural network applications in medical imaging and signal processing. Medical and Biological Engineering and Computers, 30, 449-464.
22. Mueller, W. C., 1978, Arrhythmia detection sofware for an ambulatory ECG monitor. Biomedical Science and Instrumentation, 14, 8185.
23. Nagasaka, Y, and Iwata, A., 1993a, Performance evaluation of BP and PCA neural networks for ECG data compression. Proceedings of the International Conference on Neural Networks (IJCNN), Nagoya, Japan, pp. 1003-1005;
24. Nagasaka, Y, and Iwata, A., 1993b, Data compression of long time ECG recording using BP and PCA neural networks. IEICE Transactions on Information and Systems, E76-D(12), 1434-1442.
25. Ripley, B. D., 1996, Pattern Recognition and Neural Networks (Cambridge University Press), pp. 287-322.
26. Rumblhart, D. E., Hinton, G. E., and Williams, R. J., 1986, Learning representations by back-propagating errors. Nature, 323 9, 535-536.
27. Sateh, M. S. J., Hutchens, C. G., Strattan, R. D., and Coberly, W. A., 1990, ECG data compression techniques—a unified approach. IEEE Transactions on Biomedical Engineering, 37(4), 335-342.
28. Stewart, D., Dower, G. E., and Suranyi, O., 1973, An ECG compression code. Journal of Electrocardiology, 6(2), 175-176.
29. Walt, T., Barnard, E., and Deventer, J., 1995, Process modeling with the regression network. IEEE Transactions on Neural Networks, 6(1), 78-93.
30. Xu, L., and Yuille, A. L., 1995, Robust principal component analysis by self-organizing rules based on statistical physics approach. IEEE Transactions on Neural Networks, 6(1), 131-143.
31. Young, T. Y, and Huggins, W. H., 1963, On the representation of electrocardiograms. IEEE Transactions on Biomedical Engineering, 10, 86-95.