Constrained ECG compression algorithm using the block-based discrete cosine transform

Digital Signal Processing: A Review Journal

Volumn 18, Issue 1, 2008, Pages 56-64

  Benzid, R ^a   Messaoudi, A ^b   Boussaad, A ^c  

^a UNIVERSITY OF M'SILA   (Algeria)

^b UNIVERSITY OF BORDJ BOU ARRERIDJ   (Algeria)

^c UNIVERSITY OF BATNA   (Algeria)

Author keywords

Discrete cosine transform; Electrocardiogram compression; Quality controlled

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; DATA COMPRESSION; QUALITY ASSURANCE;

ADAPTIVE LINEAR QUANTIZATION; DISCRETE COSINE TRANSFORM; ELECTROCARDIOGRAM COMPRESSION; PERCENT ROOT-MEAN-SQUARE DIFFERENCE (PRD);

ELECTROCARDIOGRAPHY;

EID: 36648998941     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2007.08.003     Document Type: Article

References (27)

1. Arnavut Z. Lossless and near-lossless compression of ECG signals with block-sorting techniques. Int. J. High Perform. Comp. Appl. 21 (2007) 50-58
2. Miaou S.-G., and Chao S.-N. Wavelet-based lossy-to-lossless ECG compression in a unified vector quantization framework. IEEE Trans. Biomed. Eng. 52 (2005) 539-543
3. Abarimalai Manikandan M.-S., and Dandapat S. Wavelet threshold based ECG compression using USZZQ and Huffman coding of DSM. Biomed. Signal Process. Control 1 (2006) 261-270
4. Tohumoglu G., and Erbil Sezgin K. ECG signal compression by multi-iteration EZW coding for different wavelets and thresholds. Comput. Biol. Med. 37 (2007) 173-182
5. X. Wang, J. Meng, A 2-D ECG compression algorithm based on wavelet transform and vector quantization, Digital Signal Process. (2007), doi: 10.1016/j.dsp.2007.03.003, in press
6. Chen J., Ma J., Zhang J., and Shi J. ECG compression based on wavelet transform and Golomb coding. Electron. Lett. 42 (2006)
7. Alexandre E., Pena A., and Sobreira M. On the use of 2-D coding techniques for ECG signals. IEEE Trans. Inform. Technol. Biomed. 10 (2006) 809-811
8. Borsali R., Nait-Ali A., and Lemoine J. ECG compression using an ensemble polynomial modeling: Comparison with the DCT based technique. Cardiovasc. Eng. 4 (2004) 237-244
9. Boucheham B. ShaLTeRR: A contribution to short- and long-term redundancy reduction in digital signals. Signal Process. 87 (2007) 2336-2347
10. Boucheham B., Ferdi Y., and Batouche M.-C. Recursive versus sequential multiple error measures reduction: A curve simplification approach to ECG data compression. Comp. Methods Programs Biomed. 81 (2006) 162-173
11. Chatterjee A., Nait-Ali A., and Siarry P. An input-delay neural-network-based approach for piecewise ECG signal compression. IEEE Trans. Biomed. Eng. 52 (2005) 945-947
12. Nave G., and Cohen A. ECG compression using long-term prediction. IEEE Trans. Biomed. Eng. 40 1993 (2005) 877-885
13. Lu Z., Kim D.-Y., and Pearlman W.A. Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm. IEEE Trans. Biomed. Eng. 47 (2000) 849-856
14. Said A., and Pearlman W.-A. A new, fast and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans. Circuits Syst. II 6 (1996) 243-250
15. Chen J., and Itoh S. A wavelet transform-based ECG compression method guaranteeing desired signal quality. IEEE Trans. Biomed. Eng. 45 (1998) 1414-1419
16. Abo-Zahhad M., and Rajoub B.A. An effective coding technique for the compression of one-dimensional signals using wavelet transform. Med. Eng. Phys. 24 (2002) 185-199
17. Rajoub B.A. An efficient coding algorithm for the compression of ECG signals using the wavelet transform. IEEE Trans. Biomed. Eng. 49 (2002) 355-362
18. Blanchett T., Ember G.-C., and Fenton G.A. KLT-based quality controlled compression of single lead ECG. IEEE Trans. Biomed. Eng. 5 (1998) 942-945
19. Nagarajan K., Kresch E., Rao S., and Kresh Y. Constrained ECG compression using best adapted wavelet packet bases. IEEE Signal Process. Lett. 3 (1996) 273-275
20. Benzid R., Marir F., and Bouguechal N.-E. Electrocardiogram compression method based on the adaptive wavelet coefficients quantization combined to a modified two-role encoder. IEEE Signal Process. Lett. 14 6 (2007) 373-376
21. Ahmed S.M., Al-Zoubi Q., and Abo-Zahhad M. A hybrid ECG compression algorithm based on singular value decomposition and discrete wavelet transform. J. Med. Eng. Technol. 31 1 (2007) 54-61
22. Blanco-Velasco M., Cruz-Roldan F., Godino-Llorente J.I., and Barner K.E. ECG compression with retrieved quality guaranteed. Electron. Lett. 40 (2004) 1466-1467
23. Benzid R., Marir F., Boussaad A., Benyoucef M., and Arar D. Fixed percentage of wavelet coefficients to be zeroed for ECG compression. Electron. Lett. 39 11 (2003) 830-831
24. Press W.H., Teukolsky S.-A., Vetterling W.-T., and Flannery B.P. Numerical Recipes in C-The Art of the Scientific Computing. second ed. (1992), Cambridge Univ. Press, Cambridge, UK
25. L.V. Batista, L.C. Carvalho, E.U.K. Melcher, Compression of ECG signals based on optimum quantization of discrete cosine transform coefficients and Golomb-Rice coding, in: Proc. of the 25th Annual IEEE Int. Conf., EMBS, 2003
26. Al-Shrouf A., Abo-Zahhad M., and Ahmed S.M. A novel compression algorithm for electrocardiogram signals based on the linear prediction of the wavelet coefficients. Digital Signal Process. 13 (2003) 604-622
27. Ouamri A., and Naït-Ali A. ECG compression method using Lorentzian functions model. Digital Signal Process. 17 (2007) 319-326