The compressor is based on discrete wavelet transform, thresholding and two-role encoder. In this work, the performance of this stage is analyzed in a compression scheme that has already presented good results among those from the state of the art. The source coding stage allows us to modify the compression ratio without quality degradation through a lossless encoder. SCITEPRESS - SCIENCE AND TECHNOLOGY PUBLICATIONS EFFICIENT SOURCE CODING IN A THRESHOLDING-BASED ECG COMPRESSOR USING THE DISCRETE WAVELET TRANSFORMCarlos Hernando Ramiro, Manuel Blanco Velasco, Eduardo Moreno-Martínez, Fernando Cruz Roldán, José Sáez Landete AbstractThe aim of electrocardiogram (ECG) compression is to achieve as much compression as possible while the significant information for diagnosis purposes is preserved in the reconstructed signal.
For this purpose the symbols probabilities are analyzed through the normalized histogram. The results reveal a gap to improve the compression ratio, so from the previous entropy study an alternative compression method is proposed. The assessment is based on the entropy of the independent symbols and the minimum expected length of the codewords.
Benzid, R., Marir, F., and Bouguechal, N.-E. Medical Engineering and Physics, 24(3):185-199. An effective coding technique for the compression of one-dimesional signals using wavelet transforms. In this way a significant improvement is obtained without decreasing the original retrieved quality.
Blanco Velasco, M., Cruz Roldán, F., Godino Llorente, J. Electronics Letters, 39(11):830-831. Fixed percentage of wavelet coefficients to be zeroed for ECG compression. Benzid, R., Marir, F., Boussaad, A., Benyoucef, M., and Arar, D. IEEE Signal Processing Letters, 14(6):373-376.
ECG compression based on wavelet transform and Golomb coding. Chen, J., Ma, J., Zhang, Y., and Shi, X. Medical Engineering and Physics, 26(7):553-568. A low computational complexity algorithm for ECG signal compression.
New methods for heart studies. John Wiley & Sons, New York, 2nd edition. Elements of Information Theory.
IEEE Transactions on Biomedical Engineering, 47(11):1422-1430.Ramiro C., Velasco M., Moreno-Martínez E., Roldán F. The Weighted Diagnostic Distortion (WDD) measure for ECG signal compression. Zigel, Y., Cohen, A., and Katz, A.
In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 97-65-4, pages 259-264.
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