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Compresión de señales de ECG mediante transformada wavelet con algoritmo MSPITH-1D

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Part of the IFMBE Proceedings book series (IFMBE,volume 18)


This paper present a model to compression of ECG signals based in wavelet transform, the coefficients of expansion of the original signal are coding with the Set partitioning in Hierarchical Trees algorithm (SPIHT). The SPIHT algorithm is the last generation of coders used with wavelet transform, this algorithm is employing more sophisticated coding of images and signals. In this work we implemented a modification in the MSPIHT algorithm, to this algorithm we introduce a new modification to signal analysis in 1-D. Compression ratios of up to 24:1 for ECG signals lead to acceptable results for visual inspection and analysis by medical doctors.

Palabras Claves

  • Compresión ECG
  • MSPIHT 1-D
  • prd
  • Wavelets

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  • DOI: 10.1007/978-3-540-74471-9_3
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  1. S. Tai, C. Sun, and W. Yan, “A 2-D ECG compression method based on wavelet transform and modified SPIHT,” IEEE Transaction on Biomedical Engineering, vol 52, no. 6, 2005.

    Google Scholar 

  2. A. Said and W. Pearlman, “A new, fase, and efficient image codec based on set partitioning inhierarchical trees,” IEEETransaction on Circuits and Systems for Video Technology, vol6, no. 3, 1996.

    Google Scholar 

  3. J. Ritter, G. Fey, and P. Monitor, “SPIHT implemented in a XC4000 device,” MWSCAS, vol. 1, 2002.

    Google Scholar 

  4. Z. Lu, D. Kim, and W. Pearlman, “Wavelet compression of ECG signals by the set partitioning in hierarchical trees,” IEEE Transactions on Biomedical Engineering, vol. 47, no. 7, 2000.

    Google Scholar 

  5. M. Wegmueller, D. Perles, T. Blazer, S. Senn, P. Stadelmann, N. Felpar, and W. Fichtner. (2006, August). On the “Silicon implementation of the SPIHT algorithm for compression of ECG records,” [on line]. Disponble en

    Google Scholar 

  6. M. Pooyan, A. Taheri, M. Moazami, I. Saboori, “Wavelet compression of ECG signal using SPIHT algorithm,” IEEE Transaction on Engineering, Computing and Technology, vol. 2, December, 2004.

    Google Scholar 

  7. S. Mallat. “A theory for multiresolution signaldecomposition: the wavelet representation,” IEEE Pattern Anal. And Machine Intell., vol. 11, no. 7. pp. 674–693, 1989.

    MATH  CrossRef  Google Scholar 

  8. M. Misiti, Y. Misiti, G. Openheim y J. M. Poggy. “Wavelet Toolbox, User’s Guide,” The Math work, Inc. 2000.

    Google Scholar 

  9. W.J Tompkins. Biomedical digital signal processing. C Language Examples and Laboratory Experiments. Englewood Cliffs, NJ: Prentice Hall, pp. 193, 1993.

    Google Scholar 

  10. S. Strahl, A. Mertins. “An efficient fine-grain scalable compression scheme for sparse data,” [on line]. Avaible:

    Google Scholar 

  11. S. M. S. Jjalalleddine, C. G. Hutcheens, R. D. Strattan, and W. A. Coberly, “ECG Data Compression Techniques-A Unified Approach,” IEEE Trans. Biomed. Eng., vol. 37, no. 4, pp. 329–343, Apr. 1990.

    CrossRef  Google Scholar 

  12. A. Djohan, T. Q. Nguyen, W. J. Tompkins, “ECG Compression Using Discrete Symetrical Wavelet Transform”, Proc. IEEE Intl. Conf. EMBS, 1995

    Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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Mabel, R.B., Ricardo, R.D., Leonardo, R.L. (2007). Compresión de señales de ECG mediante transformada wavelet con algoritmo MSPITH-1D. In: Müller-Karger, C., Wong, S., La Cruz, A. (eds) IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health. IFMBE Proceedings, vol 18. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74470-2

  • Online ISBN: 978-3-540-74471-9

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