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Original Article

ECG data compression using Hebbian neural networks

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Pages 211-218 | Published online: 09 Jul 2009

References

  • Design of Microcomputer-Based Medical Instrumentation, W. Tompkins, R J. Webster. Prentice-Hall, NJ 1981
  • Oehler K. L., Robert M. Combining image compression and classification using vector quantization. IEEE Transaction on Pattern Analysis and Machine Intelligence 1995; 17(5)461–473
  • Mueller W. Arrhythmia detection program for an ambulatory ECG monitor. Biomedical Science Instrument 1981; 14: 81–85
  • Cox J., et al. AZTEC a preprocessing program for real-time ECG rhythm analysis. IEEE Transaction on Biomedical Engineering 1986; 15: 128–139
  • Abenstein J., Tompkins W. A new data-reduction algorithm for real-time ECG analysis. IEEE Transaction on Biomedical Engineering 1982; 29(1)43–48
  • Isihjama M., et al. Scan-along polygonal approximation for data compression of electrocardiograms. IEEE Transaction on Biomedical Engineering 1983; 30(11)723–729
  • Imai H., et al. An efficient encoding method for electrocardiography using spline functions. System Computing Japan 1985; 16(13)85–94
  • Reddy B., Murthy I. ECG data compression using Fourier descriptors. IEEE Transaction on Biomedical Engineering 1986; 33(4)428–434
  • Mammen C., Ramamurthi B. Vector quantization for compression of multichannel ECG. IEEE Transaction on Biomedical Engineering 1990; 37(9)821–825
  • Huang X., et al. Fast ECG data compression algorithms suitable for microprocessor systems. Journal of Biomedical Engineering 1992; 12(1)64–68
  • AlNashash H. A. M. Adaynamic fourier series for the compression of ECG using FFT and adaptive coefficient estimation. Medical Engineering and Physics 1995; 17(3)197–203
  • Widrow B., et al. Adaptive noise canceling: principles and applications. Proceeding IEEE 1975; 63(12)1962–1971
  • Oja E. A simplified neuron model as a principal component analyser. Journal of Mathematical Biology 1982; 15: 267–273
  • Multivariate Statistics—A Practical Approach, B. Flury, H. Riedmyl. Chapman and Hall, London 1993
  • Leen T. K., Rundnick M., Hammerstrom D. Hebbian feature discovery improves classifier efficiency. International Joint Conference on Neural Networks. San Diego, CA 1990; vol. 1: 51–56
  • Yang J., Dumont G. A. Classification of acoustic emission signals via Hebbian feature extraction. International Joint Conference on Neural Networks. Seattle, WA 1991; vol. 1: 113–118
  • Principal Component Analysis in Meteorology and Oceancnography, R. W. Preisendorfer. Elsevier, New York 1988
  • Subspace Methods of Pattern Recognition, E. Oja. Research Studies Press, LetchworthUK 1983
  • Sanger T. D. An optimality principle for unsupervised learning. Advances in, Neural Information Processing Systems, D. S. Touretzky. Morgan Kaufmann, San Mateo, CA 1989
  • Sanger T. D. Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Networks 1989; 12: 459–473
  • MIT-BIH Database Distribution. Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 20A-113, Cambridge, MAUSA, 02139

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