ECG De-noising Based on Empirical Mode Decomposition

@article{Tang2008ECGDB,
  title={ECG De-noising Based on Empirical Mode Decomposition},
  author={Guodong Tang and Aina Qin},
  journal={2008 The 9th International Conference for Young Computer Scientists},
  year={2008},
  pages={903-906}
}
Electrocardiogram (ECG) signal is useful in diagnosing the heart condition. Good quality ECG is utilized by physicians for interpretation and identification of physiological and pathological phenomena. However, The electrocardiogram (ECG) signal may mix various kinds of noises while gathering and recording. In this paper, we propose a new ECG enhancement method based on the recently developed empirical mode decomposition (EMD). The proposed EMD-based method is able to remove noise from the… CONTINUE READING
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Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 11 references

ECG baseline wander reduction using discrete wavelet transform

  • K. Daqrouq
  • Asian Journal of Information Technology, vol. 4…
  • 2005
1 Excerpt

The determination of the threshold and the decomposition order in threshold de-noising method based on wavelet transform

  • J. Z. Zhang
  • Proceedings of the CSEE 2004, vol. 24, pp. 118…
  • 2004
1 Excerpt

One-pass training of optimal architecture auto-associative neural network for detecting ectopic beats

  • G. D. Clifford, L. Tarassenko
  • Electronics Letters, vol. 37, pp. 1126–1127, 2001…
  • 2001
1 Excerpt

De-noising of high-resolution ECG signals by combining the discrete wavelet transform with the Wiener filter

  • H. A. Kestler, M. Haschka, W. Kratz, etal.
  • Proceedings of Computers in Cardiology, pp. 233…
  • 1998
1 Excerpt

High resolution ECG filtering using adaptive BSayesian wavelet shrinkage

  • M. Popescu, P. Cristea, A. Bezerianos
  • Proceedings of Computers in Cardiology, pp. 401…
  • 1998
1 Excerpt

QRS morphology representation and noise estimation using the Karhunen-Loeve transform

  • G. B. Moody, R. G. Mark
  • Proceedings of Computers in Cardiology, pp. 269…
  • 1989
1 Excerpt

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