ECG Signal Compression Based on Optimization of Wavelet Parameters and Threshold Levels Using Evolutionary Techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-022-02280-4.pdf
Reference51 articles.
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3. M. Abo-Zahhad, A.F. Al-Ajlouni, S.M. Ahmed, R.J. Schilling, A new algorithm for the compression of ECG signals based on mother wavelet parameterization and best-threshold levels selection. Digit. Signal Process. A Rev. J. 23, 1002 (2013)
4. A. Al-Shrouf, M. Abo-Zahhad, S.M. Ahmed, A novel compression algorithm for electrocardiogram signals based on the linear prediction of the wavelet coefficients. Digit. Signal Process. A Rev. J. 13, 604 (2003)
5. E. Alexandre, A. Pena, M. Sobreira, On the use of 2-D coding techniques for ECG signals. IEEE Trans. Inf. Technol. Biomed. 10, 809 (2006)
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