Pre-Processing of multi-channel EEG for improved compression performance using SPIHT

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 2232-2235

  Daou, Hoda ^a   Labeau, Fabrice ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPRESSION PERFORMANCE; HIGH COMPRESSION RATIO; LOW DISTORTION; MULTI-CHANNEL; NOVEL TECHNIQUES; PRE-PROCESSING; SET PARTITIONING IN HIERARCHICAL TREE;

DISCRETE WAVELET TRANSFORMS; REDUNDANCY;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; ELECTROENCEPHALOGRAPHY; HUMAN; INFORMATION PROCESSING; METHODOLOGY; SIGNAL PROCESSING; WAVELET ANALYSIS;

ALGORITHMS; DATA COMPRESSION; ELECTROENCEPHALOGRAPHY; HUMANS; SIGNAL PROCESSING, COMPUTER-ASSISTED; WAVELET ANALYSIS;

MLCS; MLOWN;

EID: 84880965693     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346406     Document Type: Conference Paper

References (13)

1. J. Cardenas-Barrera, J. Lorenzo-Ginori, and E. Rodriguez-Valdivia, "A wavelet-packets based algorithm for EEG signal compression," Informatics for Health and Social Care, vol. 29, no. 1, pp. 15-27, 2004.
2. K. Srinivasan and M. Reddy, "Efficient preprocessing technique for real-time lossless EEG compression," Electronics Letters, vol. 46, no. 1, pp. 26-27, 2010. [Online]. Available: http://link.aip.org/link/?ELL/46/26/1
3. J. Dauwels, K. Srinivasan, M. R. Reddy, and A. Cichocki, "Multichannel EEG compression based on matrix and tensor decompositions," in Proceedings of the 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), July 2011, pp. 629-632.
4. A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C.-K. Peng, and H. E. Stanley, "Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals," Circulation, vol. 101, no. 23, p. 215 âǎş 220, 2000.
5. G. Higgins, B. McGinley, N. Walsh, M. Glavin, and E. Jones, "Lossy compression of EEG signals using SPIHT," Electronics Letters, vol. 47, no. 18, September 2011.
6. D. Rawat, C. Singh, and M. Sukadev, "A hybrid coding scheme combining SPIHT and SOFM based vector quantization for effectual image compression," European Journal of Scientific Research, 2009.
7. Z. Lu, Y. Kim, Z. Lu, D. Y. Kim, and W. Pearlman, "Wavelet compression of ECG signals by the set partitioning in hierarchical trees (SPIHT) algorithm," IEEE Transactions on Biomedical Engineering, vol. 47, pp. 849-856, 1999.
8. D. Y. Kim, Z. Lu, and W. A. Pearlman, "Wavelet Compression of ECG Signals by the Set Partitioning in Hierarchical Trees Algorithm," IEEE Transactions on Biomedical Engineering, 2000.
9. K. Srinivasana, J. Dauwels, and M. Reddy, "A two-dimensional approach for lossless EEG compression," Biomedical Signal Processing and Control, 2011.
10. K.-L. Kim and S.-W. Ra, "Performance improvement of the SPIHT coder," Sig. Proc.: Image Comm., vol. 19, no. 1, pp. 29-36, 2004.
11. E. Niedermeyer and F. Da Silva, Eds., Electroencephalography, 5th ed. Lippincott Williams and Wilkins, 2005, vol. 7.
12. J. Azpiroz-Leehan and J.-F. Lerallut, "Selection of biorthogonal filters for image compression of MR images using wavelet packets," Medical Engineering and Physics, vol. 22, no. 5, pp. 335-343, 2000. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1350453300000424
13. V. K. Bairagi and A. M. Sapkal, "Selection of wavelets for medical image compression," in International Conference on Advances in Computing, Control, and Telecommunication Technologies, 2009, pp. 678-680.