Automatic artefact detection in a self-paced brain-computer interface system

IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 403-408

  Yong, Xinyi ^a   Fatourechi, Mehrdad ^a   Ward, Rabab K ^a   Birch, Gary E ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b Neil Squire Society   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTEFACT DETECTION; EEG SIGNALS; FACIAL MUSCLES; HIGH FREQUENCY BANDS; INTERFACE SYSTEM; MAXIMUM AMPLITUDE; MOTOR CORTEX; SENSITIVITY AND SPECIFICITY; STATE-OF-ART METHODS; STATIONARY WAVELET TRANSFORMS; THRESHOLD-BASED CLASSIFIERS;

FREQUENCY BANDS; INTERFACES (COMPUTER); SIGNAL DETECTION; WAVELET TRANSFORMS;

BRAIN COMPUTER INTERFACE;

EID: 80054739887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACRIM.2011.6032927     Document Type: Conference Paper

References (22)

1. Dynamic Keyboard-CanAssist. http://www.canassist.ca/dynamic-keyboard.
2. Mirametrix Research, S1 Eye-tracker, 2010. http://www.mirametrix.com/s1- eye-tracker.html.
3. D. R. Achanccaray and M. A. Meggiolaro. Detection of artifacts from EEG data using wavelet transform, high-order statistics and neural networks. In XVII Brazilian Conference on Automatica, Brazil, 2008.
4. A. Bashashati, B. Nouredin, R. Ward, P. Lawrence, and G. Birch. Effect of eye-blinks on a self-paced brain interface design. Clin. Neurophysiol., 118:1639-1647, 2007.
5. A. Delorme, T.-P. Jung, T. Sejnowski, and S. Makeig. Improved rejection of artifacts from EEG data using high-order statistics and independent component analysis. In Proceedings of the 3rd International Workshop on ICA, pages 457-462, San Diego, 2001.
6. P. J. Durka, H. Klekowicz, K. J., W. S. Blinowska, and S. Niemcewicz. A simple system for detection of EEG artifacts in polysomnographic recordings. IEEE Trans. Biomed. Eng., 40(4):526-528, 2003.
7. M. Fatourechi, A. Bashashati, R. K. Ward, and G. E. Birch. EMG and EOG artifacts in brain computer interface systems: a survey. Clin. Neurophysiol., 118(3):480-494, 2006.
8. M. Fatourechi, R. K. Ward, and G. E. Birch. Performance of a self-paced brain-computer interface on data contaminated with eye-movement artifacts and on data recorded in a subsequent session. Computational Intelligence and Neuroscience, 2008.
9. I. I. Goncharova, D. J. McFarland, T. M. Vaughan, and J. R. Wolpaw. EMG contamination of EEG: spectral and topographical characteristics. Clin. Neurophysiol., 114:1580-1593, 2003.
10. R. Ksiezyk, K. Blinowska, P. Durka, W. Szelenberger, and W. Androsiuk. Neural networks with wavelet preprocessing in EEG artifact recognition. In Abstract of Medicon Conference, Lemesos, 1998.
11. 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 Problems Compt. Math., 1(3), 2008.
12. P. LeVan, E. Urrestarazu, and J. Gotman. A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification. Clin. Neurophysiol., 117:912-927, 2006.
13. I. S. MacKenzie and R. W. Soukoreff. Phrase sets for evaluating text entry techniques. In Ext. Abstracts on Human Factors in Computing Systems CHI 2003, ACM Press, pages 754-755, 2003.
14. S. Mallat. A Wavelet Tour of Signal Processing. Academic Press, USA, 2 edition, 1998.
15. R. A. Maronna, R. D. Martin, and V. J. Yohai. Robust Statistics: Theory and Methods. Wiley, England, 1 edition, 2006.
16. S. G. Mason and G. E. Birch. A brain-controlled switch for asynchronous control applications. IEEE Trans. Biomed. Eng., 47(10):1297-1307, 2000.
17. D. J. McFarland, L. M. McCane, S. V. David, and J. R. Wolpaw. Spatial filter selection for EEG-based communication. Electroencephalography and Clinical Neurophysiology, 103:386-394, 1997.
18. S. V. Ramanan, N. V. Kalpakam, and J. S. Sahambi. A novel wavelet based technique for detection and de-noising of ocular artifact in normal and epileptic electroencephalogram. In ICCCAS, Houston, USA, 2004.
19. A. Schlögl, P. Anderer, S. J. Roberts, M. Pregenzer, and G. Pfurtscheller. Artefact detection in sleep EEG by the use of kalman filtering. In Proc. EMBEC 99, Vienna, 1999.
20. M. van de Velde, G. van Erp, and P. J. M. Cluimans. Detection of muscle artefact in the normal human awake EEG. Electroencephalography and Clinical Neurophysiology, 107:149-158, 1998.
21. F.-B. Vialatte, J. S-Casals, and A. Cichocki. EEG windowed statistical wavelet scoring for evaluation and dis-crimnation of muscular artifacts. Physiological Measurement, 29:1435-1452, 2008.
22. X. Yong, R. Ward, and G. Birch. Facial EMG contamination in EEG signals: Characteristics and effects of spatial filtering. In ISCCSP 2008, pages 729-734, Malta, March 2008.