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access icon free Comparative study of ECG signal denoising by wavelet thresholding in empirical and variational mode decomposition domains

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References

    1. 1)
    2. 2)
      • J.M. Leski , N. Henzel .
        2. Leski, J.M., Henzel, N.: ‘ECG baseline wander and power line interference reduction using nonlinear filter bank’, Signal Process., 2004, 35, (4), pp. 781793.
        . Signal Process. , 4 , 781 - 793
    3. 3)
    4. 4)
      • T. He , G. Clifford , L. Tarassenko .
        4. He, T., Clifford, G., Tarassenko, L.: ‘Application of ICA in removing artefacts from the ECG’. Neural Processing Letters, 2006, pp. 105116.
        . Neural Processing Letters , 105 - 116
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
      • N. Li , P. Li .
        11. Li, N., Li, P.: ‘An improved algorithm based on EMD-wavelet for ECG signal de-noising’. Proc. Int. Joint Conf. on Computational Sciences and Optimization, 2009, pp. 825827.
        . Proc. Int. Joint Conf. on Computational Sciences and Optimization , 825 - 827
    12. 12)
    13. 13)
    14. 14)
    15. 15)
      • G.D. Clifford , F. Azuaje , P.E. McSharry . (2006)
        15. Clifford, G.D., Azuaje, F., McSharry, P.E.: ‘Advanced methods and tools for ECG data analysis’ (Artech House, Boston/London, 2006).
        .
    16. 16)
      • N.E. Huang , Z. Shen , S.R. Long .
        16. Huang, N.E., Shen, Z., Long, S.R., et al: ‘The empirical mode composition and the Hilbert spectrum for nonlinear and non-stationary time series analysis’. Proc. of the Royal Society London, 1998, Vol. A 454, pp. 903995.
        . Proc. of the Royal Society London , 903 - 995
    17. 17)
      • Y. Yan , C. Zhanzhong .
        17. Yan, Y., Zhanzhong, C.: ‘Noise and zero excursion elimination of electrostatic detection signals based on EMD and wavelet transform’. IEEE Int. Congress on Image and Signal Processing, 2009, pp. 15.
        . IEEE Int. Congress on Image and Signal Processing , 1 - 5
    18. 18)
      • M. Sun , Y. Shen , W. Zhang .
        18. Sun, M., Shen, Y., Zhang, W.: ‘A wavelet threshold denoising method for ultrasonic signal based on EMD and correlation coefficient analysis’. Proc. IEEE Third Int. Congress on Image and Signal Processing, 2010, pp. 39923996.
        . Proc. IEEE Third Int. Congress on Image and Signal Processing , 3992 - 3996
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
    24. 24)
    25. 25)
      • M.A. Kabir , C. Shahnaz .
        25. Kabir, M.A., Shahnaz, C.: ‘Comparison of ECG signal denoising algorithms in EMD and wavelet domains’, IJRRAS, 2012, 11, pp. 499516..
        . IJRRAS , 499 - 516
    26. 26)
      • I. Daubechies . (1992)
        26. Daubechies, I.: ‘Ten lectures on wavelets’ (Society of Industrial and Applied Mathematics (SIAM), Philadelphia, Pennsylvania, 1992).
        .
    27. 27)
      • 27. http://www.physionet.org/physiobank/database/mitdb/.
        .
    28. 28)
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