Abstract
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.
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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. https://doi.org/10.1007/978-3-540-74471-9_3
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DOI: https://doi.org/10.1007/978-3-540-74471-9_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74470-2
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