Automatic removal ofocular artifacts from EEG data using adaptive filtering and independent component analysis

European Signal Processing Conference

Volumn , Issue , 2009, Pages 2317-2321

  Guerrero Mosquera, Carlos ^a   Vazquez, Angel Navia ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC REMOVAL; BRAIN WAVE; COMPUTATIONAL COSTS; EXPERIMENTAL DATA; INTERFERENCE CANCELLATION; INTERFERENCE ESTIMATION; MOVEMENT ARTIFACTS; RECURSIVE LEAST SQUARE (RLS); REFERENCE INPUTS; REFERENCE SIGNALS; RLS ALGORITHMS;

ADAPTIVE FILTERING; ALGORITHMS; EYE MOVEMENTS; LEAST SQUARES APPROXIMATIONS; SIGNAL PROCESSING;

INDEPENDENT COMPONENT ANALYSIS;

EID: 77954459959     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. J. Iriarte, E. Urrestarazu, M. Valencia, M. Alegre, A. Malanda, C. Viteri, and J. Artieda, "Independent Component Analysis as a tool to eliminate artifacts in EEG: A quantitative study," Journal of Clin. Neurophysiol., vol. 20, 2003, pp. 249 - 257
2. P. He, G. Wilson, C. Russell and M. Gerschutz, "Removal of ocular artifacts from the EEG: a comparison between time-domain regression method and adaptive filtering method using simulated data," Med. Bio. Eng. Comput., vol. 45, 2007, pp. 495 - 503
3. S. Romero, M.A. Maanas and M.J. Barbanoj, "Acomparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: A simulation case," Comp. Biol. and Med., vol. 38, 2008, pp. 348 - 360
4. H. Ghandeharion and Abbas Erfanian, "A Fully Automatic Method for Ocular Artifact Suppression from EEG Data Using Wavelet Transform and Independent Component Analysis," Proc. 28-th IEEE EMBS Annual Inter. Conf., vol. 1, 2006, pp. 5265 - 5268
5. Y. Li, Z. Ma, W. Lu, and Y. Li, "Automatic removal of the eye blink artifact from EEG using an ICA-based template matching approach," Physiol. Meas., vol. 27, 2006, pp. 425 - 436
6. C.A. Joyce, I.F. Gorodnitsky and M. Kutas, "Automatic removal of eye movement and blink artifacts from EEG data using blind component separation," Psychophysiology, vol. 41, 2004, pp. 1 - 13
7. J.V. Stone, Independent Component Analysis: A tutorial introduction, The MIT Press. Cambridge, Massachusetts, 2004
8. P. Le Van, E. Urrestarazu and J. Gotman, "A system for automatic removal in ictal scalp EEG based on independent component analysis and Bayesian classification," Clin. Neurophysiol., vol. 117, 2006, pp. 912 - 927
9. A. Delorme, T. Jung, T. Sejnowski and S. Makeig, "Improved rejection of artifacts from EEG data using high-order statistics and independent component analysis," Neuroimage, Vol. 34, 2007, pp. 1443 - 1449
10. H. Li and Y. Sun, "The study and test of ICA algorithms," Proc. IEEE Wireless Communications, Networking and Mobile Computing, Vol. 1, 2005, pp. 602 - 605
11. D. Erdogmus and J.C. Principe, "From linear adaptive filtering to nonlinear information processing - The design and analysis of information processing systems," Signal Processing Magazine, IEEE, Vol.23, 2006, pp. 14 - 33
12. P. He, G. Wilson and C. Russel, "Removal of ocular artifacts from electro-encephalogram by adaptive filtering," Medical & Biological Eng. and Comp., Vol. 42, 2004, pp. 407 - 412
13. J.F. Cardoso, "Blind signal separation: statistical principles," Proc. of the IEEE., Vol.86, 1998, pp. 2009 - 2025. Algorithm available in http://www.tsi.enst.fr/~cardoso/guidesepsou.html
14. S. Makeig, A.J. Bell, T.P. Jung and T. Sejnowski, "Independent component analysis of electroencephalogram data," Adv. in Neural Informatics Processing Sys., 1996, pp. 145 - 151
15. A. Delorme and S. Makeig, "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis," J. Neurosci. Methods Vol. 134, 2004, pp. 9 - 21
16. B.J. Fisch and Rainer Spehlmann, Fisch and Spehlmann's EEG Primer: Basic Principles of Digital and Analog EEG, Elsevier, 3rd printing, 1994
17. S. Haykin, Adaptive filter theory, 3rd edition, Prentice Hall, New Jersey, 1996
18. Hyung-Min Park, Sang-Hoon Oh and Soo-Young Lee, "Adaptive noise cancelling based on independent component analysis," Electronics Letters, Vol. 38, 2002, pp. 832 - 833
19. L. Zhukov, D. Weinstein and C. Johnson, "Independent component analysis for EEG source localization," IEEE Eng. in Med. and Biol. Magazine, Vol. 19, 2000, pp. 87 - 96
20. Xiao-ou Li, Yun Zhou and Huan-qing Feng, "An adaptive on-line algorithm for independent component analysis," Proc. International Conf. On Neural Networks and Signal Processing, Vol. 2, 2003, pp. 1338 - 1341
21. P. Shooshtari, G. Mohamadi, B. Molae and M. Bagher, "Removing ocular artifacts from EEG signals using adaptive filtering and ARMAX modeling," Proc. Worlds Academy of Science, Eng. and Tech., Vol. 11, 2006, pp. 277 - 280