ECG data compression using Hebbian neural networks

Journal of Medical Engineering and Technology

Volumn 20, Issue 6, 1996, Pages 211-218

  Al Hujazi, E ^a   Al Nashash, H ^b  

^a Hyatt Corporation   (United States)

^b YARMOUK UNIVERSITY   (Jordan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA COMPRESSION; DATABASE SYSTEMS; DIGITAL SIGNAL PROCESSING; FEATURE EXTRACTION; NEURAL NETWORKS; STATISTICAL METHODS;

HEBBIAN NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

ELECTROCARDIOGRAPHY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROCARDIOGRAM; SIGNAL PROCESSING;

EID: 0030295330     PISSN: 03091902     EISSN: None     Source Type: Journal    
DOI: 10.3109/03091909609009000     Document Type: Article

References (21)

1. TOMPKINS, W. and WEBSTER, J. (eds) (1981) Design of Microcomputer-Based Medical Instrumentation (Prentice-Hall, NJ).
2. OEHLER, K. L. and ROBERT, M. (1995) Combining image compression and classification using vector quantization. IEEE Transaction on Pattern Analysis and Machine Intelligence, 17 (5), 461-473.
3. MUELLER, W. (1981) Arrhythmia detection program for an ambulatory ECG monitor. Biomedical Science Instrument, 14, 81-85.
4. COX, J., et al. (1986) AZTEC a preprocessing program for real-time ECG rhythm analysis. IEEE Transaction on Biomedical Engineering, 15, 128-139.
5. ABENSTEIN, J. and TOMPKINS, W. (1982) A new data-reduction algorithm for real-time ECG analysis. IEEE Transaction on Biomedical Engineering, 29 (1), 43-48.
6. ISHIJAMA, M., et al. (1983) Scan-along polygonal approximation for data compression of electrocardiograms. IEEE Transaction on Biomedical Engineering, 30 (11), 723-729.
7. IMAI, H. et al. (1985) An efficient encoding method for electrocardiography using spline functions. System Computing Japan, 16 (13), 85-94.
8. REDDY, B. and MURTHY, I. (1986) ECG data compression using Fourier descriptors. IEEE Transaction on Biomedical Engineering, 33 (4), 428-434.
9. MAMMEN, C. and RAMAMURTHI, B. (1990) Vector quantization for compression of multichannel ECG. IEEE Transaction on Biomedical Engineering, 37 (9), 821-825.
10. HUANG, X., et al. (1992) Fast ECG data compression algorithms suitable for microprocessor systems. Journal of Biomedical Engineering, 12 (1), 64-68.
11. AL-NASHASH, H. A. M. (1995) Adaynamic fourier series for the compression of ECG using FFT and adaptive coefficient estimation. Medical Engineering and Physics, 17 (3), 197-203.
12. WIDROW, B., et al. (1975) Adaptive noise canceling: principles and applications. Proceeding IEEE, 63 (12), 1962-1971.
13. OJA, E. (1982) A simplified neuron model as a principal component analyzer. Journal of Mathematical Biology, 15, 267-273.
14. FLURY, B. and RIEDWYL, H. (eds) (1993) Multivariate Statistics - A Practical Approach (Chapman and Hall, London).
15. LEEN, T. K., RUNDNICK, M. and HAMMERSTROM, D. (1990) Hebbian feature discovery improves classifier efficiency. International Joint Conference on Neural Networks, vol. 1, San Diego, CA, 51-56.
16. YANG, J. and DUMONT, G. A. (1991) Classification of acoustic emission signals via Hebbian feature extraction. International Joint Conference on Neural Networks, vol. 1, Seattle, WA, 113-118.
17. PREISENDORFER, R. W. (ed.) (1988) Principal Component Analysis in Meteorology and Oceanography (Elsevier, New York).
18. OJA, E. (ed.) (1983) Subspace Methods of Pattern Recognition (Research Studies Press, Letchworth, UK).
19. SANGER, T. D. (1989) An optimality principle for unsupervised learning. In D. S. Touretzky (eds) Advances in Neural information Processing Systems (Morgan Kaufmann, San Mateo, CA).
20. SANGER, T. D. (1989) Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Networks, 12, 459-473.
21. MIT-BIH Database Distribution, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 20A-113, Cambridge, MA 02139, USA.