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http://dx.doi.org/10.5391/JKIIS.2013.23.6.519

ECG Signal Compression based on Adaptive Multi-level Code  

Kim, Jungjoon (School of Electronics Engineering, Kyungpook National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.23, no.6, 2013 , pp. 519-526 More about this Journal
Abstract
ECG signal has the feature that is repeated in a cycle of P, Q, R, S, and T waves and is sampled at a high sampling frequency in general. By using the feature of periodic ECG signals, maximizing compression efficiency while minimizing the loss of important information for diagnosis is required. However, the periodic characteristics of such amplitude and period is not constant by measuring time and patients. Even though measured at the same time, the patient's characteristics display different periodic intervals. In this paper, an adaptive multi-level coding is provided by coding adaptively the dominant and non-dominant signal interval of the ECG signal. The proposed method can maximize the compression efficiency by using a multi-level code that applies different compression ratios considering information loss associated with the dominant signal intervals and non-dominant signal intervals. For the case of long time measurement, this method has a merit of maximizing compression ratio compared with existing compression methods that do not use the periodicity of the ECG signal and for the lossless compression coding of non-dominant signal intervals, the method has an advantage that can be stored without loss of information. The effectiveness of the ECG signal compression is proved throughout the experiment on ECG signal of MIT-BIH arrhythmia database.
Keywords
ECG Signal; Adaptive Code Model; Compression; Feature Extraction; Periodic Feature;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 F. Enseleit and F. Duru, "Long-term continuous external electrocardiographic recording: A review," Europace, vol. 8, no. 4, pp. 255-266, 2006.   DOI   ScienceOn
2 B. J. Schijvennaars, G. Van Herpen, and J. A. Kors, "Intraindividual variability in electrocardiograms," Journal of Electrocardiology, vol. 41, no. 3, pp. 190-196, 2008.   DOI   ScienceOn
3 H. J. Kim, R. F. Yazicioglu, P. Merken, C. Van Hoof, and H. J. Yoo, "ECG signal compression and classification algorithm with quad level vector for ECG holter system," IEEE Trans. Information Technology in Biomedicine, vol. 14, no. 1, pp. 93-100, 2010.   DOI   ScienceOn
4 F. Jager, I. Koren, and L. Gyergyek, "Multiresolutional representation and analysis of ECG waveforms," Proceedings of Computers in Cardiology, pp. 547-550, 1990.
5 J. Abenstein and W. Tompkins, "A new data-reduction algorithm for real-time ECG analysis," IEEE Trans. Biomedical Engineering, vol. BME-29, no. 1, pp. 43-48, 1982.   DOI   ScienceOn
6 M. Benmalek and A. Charef, "Digital fractional order operators for R-wave detection in electrocardiogram signal," IET Signal Processing, vol. 3, no. 5, pp. 381-391, 2009.   DOI   ScienceOn
7 Q. Zhang, A. I. Manriquez, C. Medigue, Y. Papelier, and M. Sorine, "An algorithm for robust and efficient location of T-wave ends in electrocardiogram," IEEE Trans. Biomedical Engineering, vol. 53, no. 12, pp. 2544-2552, 2006.   DOI   ScienceOn
8 J. P. Martinez, R. Almeida, S. Olmos, A. P. Rocha, and P. Laguna, "A wavelet-based ECG delineator: Evaluation on standard databases," IEEE Trans. Biomedical Engineering, vol. 51, no. 4, pp. 570-581, 2004.   DOI   ScienceOn
9 T. H. Kim, S. W. Kim, C. Ryu, B. J. Yun, J. H. Kim, B. J. Choi, K. H. Park, "ECG signal compression using feature points based on curvature," J ournal of The Korean Institute of Intelligent Systems, vol. 20. no. 5, pp. 624-630, 2010.   과학기술학회마을   DOI   ScienceOn
10 C. Ryu, T. H. Kim, B. G. Lee, B. J. Choi, K. H. Park, "ECG signal compression based on B-spline approximation," Journal of The Korean Institute of Intelligent Systems, vol. 21. no. 5, pp. 653-659, 2011.   과학기술학회마을   DOI   ScienceOn
11 C. Ryu, T. H. Kim, J. Kim, B. J. Choi, K. H. Park, "Electrocardiogram signal compression with reconstruction via radial basis function interpolation based on the vertex," International Journal of Fuzzy Logic and Intelligent Systems, vol. 13, no. 1, pp. 31-38, March 2013.   과학기술학회마을   DOI   ScienceOn
12 S. Jalaeddine, C. Hutchens R., Stattan. and W. Coberly, "ECG data compression techniques-A unified approach," IEEE Trans. Biomedical Engineering, vol. 37, pp. 329-343, 1990.   DOI   ScienceOn
13 S. W. Kim, S. Y. Kim, T. H. Kim, B. J. Choi, K. H. Park, "Minimizing algorithm of baseline wander for ECG signal using Morphology-pair," Journal of The Korean Institute of Intelligent Systems, vol. 20. no. 4, pp. 574-579, 2010.   과학기술학회마을   DOI   ScienceOn