The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal technique

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 1, 2013, Pages 97-105

  Sweeney, Kevin T ^a   McLoone, Seán F ^a   Ward, Tomás E ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

Canonical correlation analysis (CCA); ensemble empirical mode decomposition (EEMD); ensemble empirical mode decomposition with canonical correlation analysis (EEMD CCA); ensemble empirical mode decomposition with canonical correlation analysis independent component analysis (EEMD ICA); independent component analysis (ICA); wavelet denoising

Indexed keywords

ARTIFACT REMOVAL; BIOSIGNALS; CANONICAL CORRELATION ANALYSIS; CANONICAL CORRELATIONS; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; FUNCTIONAL-NEAR INFRARED; MULTI-CHANNEL RECORDING; MULTIDIMENSIONAL SIGNALS; QUALITY OF INFORMATION; SECOND ORDER STATISTICS; SIGNAL SOURCE; SINGLE-CHANNEL; WAVELET DENOISING;

ELECTROPHYSIOLOGY;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; ARTIFACT; CORRELATION ANALYSIS; ELECTROENCEPHALOGRAPHY; EMPIRICAL MODE DECOMPOSITION; INFORMATION PROCESSING; NEAR INFRARED SPECTROSCOPY; QUALITY CONTROL; STATISTICAL ANALYSIS;

ADULT; ALGORITHMS; ARTIFACTS; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; MODELS, THEORETICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; SPECTROSCOPY, NEAR-INFRARED;

EID: 84871796450     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2225427     Document Type: Article

References (27)

1. K. Sweeney, T. Ward, and S. McLoone, "Artifact removal in physiological signals-Practices and possibilities, " IEEE Trans. Inf. Technol. Biomed., vol. 16, no. 3, pp. 488-500, May 2012.
2. F. C. Robertson, T. S. Douglas, and E. M. Meintjes, "Motion artifact removal for functional near infrared spectroscopy: A comparison of methods, " IEEE Trans. Biomed. Eng., vol. 57, no. 6, pp. 1377-1387, Jun. 2010.
3. S. D. Ridwan, R. Thompson, B. T. Jap, S. Lal, and P. Fischer, "Single channel wireless EEG: Proposed application in train drivers, " in Proc. 3rd Int. Conf. Broadband Commun. Inf. Technol. Biomed. Appl., Nov. 2008, pp. 58-63.
4. B. Mijovíc, M. De Vos, I. Gligorijevic, J. Taelman, and S. Van Huffel, "Source separation from single-channel recordings by combining empirical-mode decomposition and independent component analysis, " IEEE Trans. Biomed. Eng., vol. 57, no. 9, pp. 2188-2196, Sep. 2010.
5. B. Azzerboni, M. Carpentieri, F. La Foresta, and F. Morabito, "Neural-ICA andwavelet transform for artifacts removal in surface EMG, " in Proc. IEEE Int. Joint Conf. Neural Netw., Jul. 25-29, 2004, vol. 4, pp. 3223-3228. (Pubitemid 40011550)
6. I. Daubechies. (1992). "Ten lectures on wavelets, " in Proc. CBM-SNSF Reg Conf. Series Appl. Math. [Online]. Available: http://ci. nii. ac. jp/naid/10000015709/en/
7. P. S. Kumar, R. Arumuganathan, K. Sivakumar, and C. Vimal, "Removal of ocular artifacts in the EEG through wavelet transform without using an EOG reference channel, " Int. J. Open Probl. Compt. Math., vol. 1, pp. 188-200, 2008.
8. A. Hyvrinen, J. Karhunen, and E. Oja, Independent Component Analysis, S. Haykin, Ed., New York: Wiley-Interscience, Jun. 2001.
9. S. Choi, A. Cichocki, H. M. Park, and S. Y. Lee, "Review blind source separation and independent component analysis: A review, " Neural Inf. Process.-Lett. Rev., vol. 6, no. 1, pp. 1-57, 2004.
10. C. J. James and C. W. Hesse, "Independent component analysis for biomedical signals, " Physiol. Meas., vol. 26, pp. 15-39, 2005.
11. A. Hyvrinen, E. Oja, "A fast fixed-point algorithm for independent component analysis, " Neural Comput., vol. 9, no. 7, pp. 1483-1492, 1997. (Pubitemid 127462801)
12. A. J. Bell and T. J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution, " Neural Comput., vol. 7, pp. 1129-1159, 1995.
13. T.-W. Lee, M. Girolami, and T. J. Sejnowski, "Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources, " Neural Comput., vol. 11, no. 2, pp. 417-441, 1999.
14. B. A. Draper, K. Baek, M. S. Bartlett, and J. R. Beveridge, "Recognizing faces with PCA and ICA, " in Proc. Comput. Vis. Imag. Understand. Special Issue Face Recognit., 2003, pp. 115-137.
15. N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung, andH. H. Liu, "The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis, " Proc. R. Soc. Lond. A, Math. Phys. Eng. Sci., vol. 454, no. 1971, pp. 903-995, Mar. 1998. (Pubitemid 128733183)
16. Z. Wu and N. E. Huang, "Ensemble empirical mode decomposition: A noise-assisted data analysismethod, " Adv. Adapt. Data Anal., vol. 1, no. 1, pp. 1-41, 2009.
17. Z. Shen, Q. Wang, Y. Shen, J. Jin, and Y. Lin, "Accent extraction of emotional speech based on modified ensemble empirical mode decomposition, " in Proc. IEEE Instrum. Meas. Technol. Conf., May 2010, pp. 600-604.
18. H. Hotelling, "Relations between two sets of variates, " Biometrika, vol. 28, no. 3/4, pp. 321-377, 1936.
19. M. Borga and C. M. Borga, "Learning multidimensional signal processing, " Ph. D. dissertation, Dept. Electr. Eng., Linkoping Univ., Linkoping, Sweden, 1998
20. W. D. Clercq, A. Vergult, B. Vanrumste, W. Van Paesschen, and S. Van Huffel, "Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram, " IEEE Trans. Biomed. Eng., vol. 53, no. 12, pp. 2583-2587, Nov. 2006. (Pubitemid 46019546)
21. M. Borga and H. Knutsson, "A canonical correlation approach to blind source separation, " Linkoping Univ. Sweeden, Linkoping, Sweden, Tech. Rep. LiU-IMT-EX-0062, Jun. 2001
22. T. W. Anderson, An Introduction to Multivariate Statistical Analysis. New York: Wiley-Interscience, 2003.
23. J. Gao, C. Zheng, and P. Wang, "Online removal of muscle artifact from electroencephalogram signals based on canonical correlation analysis, " Clin. EEG Neurosci., vol. 41, no. 1, p. 53, 2010
24. M. Borga, O. Friman, P. Lundberg, and H. Knutsson, "A canonical correlation approach to exploratory data analysis in fMRI, " presented at the Proc. ISMRM Annu. Meet., Honolulu, HI, May 2002
25. K. Sweeney, H. Ayaz, T. Ward, M. Izzetoglu, S. McLoone, and B. Onaral, "A methodology for validating artifact removal techniques for physiological signals, " IEEE Trans. Inf. Technol. Biomed., vol. 16, no. 5, pp. 918-926, Sep. 2012.
26. M. Hassan, S. Boudaoud, J. Terrien, B. Karlsson, and C. Marque, "Combination of canonical correlation analysis and empirical mode decomposition applied to denoising the labor electrohysterogram, " IEEE Trans. Biomed. Eng., vol. 58, no. 9, pp. 2441-2447, Sep. 2011.
27. Z. Wang, "Fixed-point algorithms for constrained ICA and their applications in fMRI data analysis, " Magn. Reson. Imag., vol. 29, no. 9, pp. 1288-1303, 2011.