Multichannel EEG compression: Wavelet-based image and volumetric coding approach

IEEE Journal of Biomedical and Health Informatics

Volumn 17, Issue 1, 2013, Pages 113-120

  Srinivasan, K ^a   Dauwels, Justin ^b   Reddy, M Ramasubba ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Arithmetic coding; Compression; Electroencephalogram (EEG); Multichannel EEG; Set partitioning coding

Indexed keywords

COMPACTION; DIGITAL ARITHMETIC; IMAGE CODING; VOLUMETRIC ANALYSIS; WAVELET TRANSFORMS;

ARITHMETIC CODING; COMPRESSION ALGORITHMS; ELECTRO-ENCEPHALOGRAM (EEG); MULTICHANNEL EEG; MULTICHANNEL ELECTROENCEPHALOGRAMS; NEAR LOSSLESS COMPRESSION; SET PARTITIONING; WAVELET-BASED IMAGES;

ELECTROENCEPHALOGRAPHY;

ARTICLE; ELECTROENCEPHALOGRAPHY; EQUIPMENT; FACTUAL DATABASE; HUMAN; INFORMATION PROCESSING; METHODOLOGY; WAVELET ANALYSIS; DEVICES; PROCEDURES;

DATA COMPRESSION; DATABASES, FACTUAL; ELECTROENCEPHALOGRAPHY; HUMANS; WAVELET ANALYSIS;

EID: 84885165188     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2194298     Document Type: Article

References (30)

1. E. Nidermeyer and F. L. D. Silva, Electroencephalography: Basic Principles, Clinical Applications and Related Fields, 5th ed. Philadelphia, USA: Lippincott Williams and Wilkins, 2005.
2. K. Srinivasan, J. Dauwels and M. R. Reddy, "A two-dimensional approach to lossless EEG compression," Biomed. Signal Process. Control, vol. 6, pp. 387-394, 2011.
3. N. Sriraam, and C. Eswaran, "Context based error modeling for lossless compression of EEG signals using neural networks," J. Med. Syst., vol. 30, pp. 439-448, 2006. (Pubitemid 44900143)
4. N. Sriraam, and C. Eswaran, "An adaptive error modeling scheme for the lossless compression of EEG signals," IEEE Trans. Inf. Technol. Biomed., vol. 12, no. 5, pp. 587-594, Sep. 2008.
5. G. Antoniol and P. Tonella, "EEG data compression techniques," IEEE Trans. Biomed. Eng., vol. 44, no. 2, pp. 105-114, Feb. 1997.
6. N. Memon, X. Kong, and J. Cinkler, "Context-based lossless and near-lossless compression of EEG signals," IEEE Trans. Biomed. Eng., vol. 3, no. 3, pp. 231-238, Mar. 1999. (Pubitemid 30517190)
7. N. Sriraam, and C. Eswaran, "Performance evaluation of neural network and linear predictors for near-lossless compression of EEG signals," IEEE Trans. Inf. Technol. Biomed., vol. 12, no. 1, pp. 87-93, Jan. 2008. (Pubitemid 351266646)
8. Z. Sijerčić and G. Agarwal, "Tree structured filter bank for time-frequency decomposition of EEG signals," in Proc. IEEE 17th Annu. Conf. Eng. Med. Biol. Soc., Sep., 1995, vol. 2, pp. 991-992.
9. V. Kavitha and D. Narayana Dutt, "Use of chaotic modeling for transmission of EEG data," in Proc. Int. Conf. Inf., Commun. Signal Process., Sep., 1997, vol. 3, pp. 1262-1265.
10. J. L. Cárdenas-Barrera, J. V. Lorenzo-Ginori, and E. Rodríguez-Valdivia, "A wavelet-packet based algorithm for EEG signal compression," Inf. Health Social Care, vol. 29, no. 1, pp. 15-27, 2004.
11. S. K. Mitra and S. N. Sarbhadhikari, "Iterative system function and genetic algorithm based EEG compression," Med. Eng. Phys., vol. 19, no. 7, pp. 605-617, 1997.
12. H. Gürkan, U. Guz, and B. S. Yarman, "EEG signal compression based on classified signature and envelope vector sets," Int. J. Circuit Theory Appl., vol. 37, no. 2, pp. 351-363, 2009.
13. K.-K. Poh and P. Marziliano, "Compressive sampling of EEG signals with finite rate of innovation," EURASIP J. Adv. Signal Process., vol. 2010, pp. 1-12, 2010.
14. Y. Wongsawat, S. Oraintara, T. Tanaka, and K. Rao, "Lossless multichannel EEG compression," in Proc. IEEE Int. Symp. Circuits Syst., Sep. 2006, pp. 1611-1614.
15. D. Gopikrishna and A. Makur, "A high performance scheme for EEG compression using a multichannel model," in High Performance Computing (Lecture Notes in Computer Science Series), vol. 2552. Berlin, Germany: Springer, 2002, pp. 443-451.
16. Q. Liu, M. Sun, and R. Sclabassi, "Decorrelation of multichannel EEG based on hjorth filter and graph theory," in Proc. 6th Int. Conf. Signal Process., Aug. 2002, vol. 2, pp. 1516-1519.
17. K. Srinivasan, and M. R. Reddy, "Efficient pre-processing technique for lossless real-time EEG compression," Electron. Lett., vol. 46, no. 1, pp. 26-27, Jan. 2010.
18. S.Yea and W. Pearlman, "A wavelet-based two-stage near-lossless coder," IEEE Trans. Image Process., vol. 15, no. 11, pp. 3488-3500, Nov. 2006.
19. W. A. Pearlman and A. Said, "Set partition coding: Part I of set partition coding and image wavelet coding systems," Found. Trends Signal Process., vol. 2, no. 2, pp. 95-180, 2008.
20. W. A. Pearlman, A. Islam, N. Nagaraj, and A. Said, "Efficient, low-complexity image coding with a set-partitioning embedded block coder," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 11, pp. 1219-1235, Nov. 2004.
21. X. Tang, W. A. Pearlman, and J. W. Modestino, "Hyperspectral image compression using three-dimensionalwavelet coding," in Image and Video Communications and Processing, Proc. SPIE, 2003, vol. 5022, pp. 1037-1047.
22. J. E. Fowler, "Shape-adaptive coding using binary set splitting with k-d trees," in Proc. Int. Conf. Image Process., Singapore, 2004, vol. 2, pp. 1301-1304.
23. J. T. Rucker and J. E. Fowler, "Coding of ocean-temperature volumes using binary set splitting with k-d trees," in Proc. Int. Geosci. Remote Sens. Symp., 2004, pp. 289-292.
24. A. Said, "Arithmetic coding," in Lossless Compression Handbook. New York: Academic Press, 2003, pp. 447-455.
25. A. Said, "On the reduction of entropy coding complexity via symbol grouping - I: Redundancy analysis and optimal alphabet partition," HP Labs, Palo Alto, CA, Tech. Rep. HPL-2004-145, 2004.
26. 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, pp. e215-220, 2000.
27. G. Schalk, D. J. McFarland, T. Hinterberger, N. Birbaumer, and J. R. Wolpaw, "BCI2000: A general-purpose brain-computer interface (BCI) system," IEEE Trans. Biomed. Eng., vol. 51, no. 6, pp. 1034-1043, Jun. 2004. (Pubitemid 38661459)
28. G. Dornhege, B. Blankertz, G. Curio, and K.-R. Müller, "Boosting bit rates in non-invasive EEG single-trial classifications by feature combination and multi-class paradigms," IEEE Trans. Biomed. Eng., vol. 51, no. 6, pp. 993-1002, Jun. 2004. (Pubitemid 38661454)
29. B. Blankertz, G. Dornhege, M. Krauledat, K.-R. Müller, and G. Curio, "The non-invasive berlin brain-computer interface: Fast acquisition of effective performance in untrained subjects," NeuroImage, vol. 37, no. 2, pp. 539-550, 2007. (Pubitemid 47444247)
30. J. E. Fowler, "QccPack: An open-source software library for quantization, compression and coding," in Appl. of Digital Image Process. XXIII, Proc. SPIE, 2000, vol. 4115, pp. 294-301.