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Innovation

Powerline interference reduction in ECG signals using empirical wavelet transform and adaptive filtering

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Pages 60-68 | Received 19 Aug 2014, Accepted 19 Oct 2014, Published online: 21 Nov 2014

References

  • Agrawal, S., and Gupta, A., 2013, Fractal and EMD based removal of baseline wander and powerline interference from ECG signals. Computers in Biology and Medicine, 43, 1889–1899
  • Mitov, I.P., 2004, A method for reduction of power line interference in the ECG. Medical Engineering & Physics, 26, 879–887
  • Suchetha, M., and Kumaravel, N., 2013, Empirical mode decomposition based filtering techniques for powerline interference reduction in electrocardiogram using various adaptive structures and subtraction methods. Biomedical Signal Processing and Control, 8, 575–585
  • Van Alste, J.A., and Schilder, T.S., 1985, Removal of baseline wander and power line interference from the ECG by an efficient FIR filter with a reduced number of taps. IEEE Transactions, BME-32, 1052–1060
  • Thakor, N.V., and Zhu, Y.S., 1991, Application of adaptive filtering to ECG analysis: Noise cancellation and arrhythmia detection. IEEE Transactions, BME-38, 785–794
  • Leski, J.M., and Henzel, N., 2004, ECG baseline wander and power line interference reduction using nonlinear filter bank. Signal Processing, 35, 781–793
  • Hamilton, P.S., 1996, A comparison of adaptive and non adaptive filters for reduction of power line interference in the ECG. IEEE Transactions on Biomedical Engineering, 43, 105–109
  • Boudraa, A.-O., and Cexus, J.-C., 2007, EMD-based signal filtering. IEEE Transactions on Instrumentation and Measurement, 56, 2196–2202
  • Hamilton, P.S., 1996, A comparison of adaptive and non adaptive filters for reduction of powerline interference in the ECG. IEEE Transactions, BME-43, 105–109
  • Kumaravel, N., and Nithiyanandam, N., 1998, Genetic-algorithm cancellation of sinusoidal powerline interference in electrocardiograms. Medical & Biological Engineering & Computing, 36, 191–196
  • Ziarani, A.K., and Konrad, A., 2002, A nonlinear adaptive method of elimination of power line interference in ECG signals. IEEE Transactions, BME-49, 540–547
  • Weiting, Y., and Runjing, Z., 2007, An improved self-adaptive filter based on LMS algorithm for filtering 50 Hz interference in ECG signals. Proceedings of 8th International Conference on Electronic Measurement and Instruments, 3, 874–878
  • Huhta, J.C., and Webster, J.G., 1973, 60-Hz interference in electrocardiography. IEEE Transactions, BME-20, 91–101
  • Thakor, N.V., and Zhu, Y.-S., 1991, Application of adaptive filtering to ECG analysis: Noise cancellation and arrhythmia detection. IEEE Transactions on Biomedical Engineering, 38, 785–794
  • Daubechies I, 1992, Daubechies, Ten Lectures on Wavelets, ser. CBMS-NSF Regional Conf. Series in Appl. Math (Philadelphia, PA: SIAM)
  • Mallat, S., 2009, A Wavelet Tour of Signal Processing: The Sparse Way, 3rd edn. (New York, NY: Elsevier/Academic)
  • Vaidyanathan, P.P., 1993, Multirate Systems and Filter Banks (Englewood Cliffs, NJ: Prentice-Hall)
  • Huang, N.E., Shen, Z., Long, S., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.-C., 1998, The empirical mode composition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society London A, 454, 903–995
  • Flandrin, P., Rilling, G., and Gonçalvés, P., 2004, Empirical mode decomposition as a filter bank. IEEE Signal Processing Letters, 11, 112–114
  • Gilles, J., 2013, Empirical wavelet transform. IEEE Transactions on Signal Processing, 61, 3999–4010
  • Haykin, S., 1996, Adaptive Filter Theory, 3rd edn. (Englewood Cliffs, NJ: Prentice-Hall Inc.)
  • Hayes, M.H., 1996, Statistical digital signal processing and modelling (New York, NY, USA: John Wiley and Sons)
  • Widrow, B., Glover, J.R., McCool, J.M., Kaunitz, J., Williams, C.S., Hearn, R.H., Zeidler, J.R., Eugene Dong, Jr., Goodlin, R.C., 1975, Adaptive noise canceling: principles and applications. Proceedings of the IEEE, 63, 1692–1719
  • Widrow, B., McCool, J.M., larimore, M.G., Johnson, C.R., 1976, Stationary and non stationary learning characteristic of the LMS adaptive filter. Proceedings of the IEEE, 64, 1151–1162
  • http://physionet.org/physiobank/database/fantasia/

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