Discriminative channel selection method for the recognition of anticipation related potentials from CCD estimated cortical activity

Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009

Volumn , Issue , 2009, Pages

  Garipelli, G ^a   Chavarriaga, R ^a   Cincotti, F ^b   Babiloni, F ^b   Millan, J D R ^a  

^a EPFL   (Switzerland)

^b IRCCS FONDAZIONE SANTA LUCIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BASE-LINE PERFORMANCE; BRAIN REGIONS; BRAIN STATE; CHANNEL SELECTION; CLASSIFICATION ACCURACY; CORTICAL ACTIVITY; CORTICAL POTENTIALS; ELECTRODE POTENTIALS; RECOGNITION PERFORMANCE; SPATIAL RESOLUTION; SPATIO-TEMPORAL; UNMIXING;

DIGITAL CAMERAS; ELECTROENCEPHALOGRAPHY; LEARNING SYSTEMS; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; TECHNICAL PRESENTATIONS;

BRAIN;

EID: 77950938020     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2009.5306216     Document Type: Conference Paper

References (13)

1. M. Congedo, F. Lotte, and A. Lécuyer, "Classification of movement intention by spatially filtered electromagnetic inverse solutions.," Phys Med Bioi, vol.51, no.8, pp. 1971-1989, Apr 2006.
2. F. Cincotti, D. Mattia, F. Aloise, S. Bufalari, L. Astolfi, F. De V. Fallani, A. Tocci, L. Bianchi, M. G. Marciani, S. Gao, J. del. R. Millan, and F. Babiloni, "High-resolution EEG techniques for brain-computer interface applications.," J Neurosci Methods, vol.167, no.1, pp. 31-42, Jan 2008.
3. P. W. Ferrez, Error-related EEG potentials in braincomputer interfaces., Ph.D. thesis, EPFL, 2007.
4. F. Babiloni, C. Babiloni, L. Locche, F. Cincotti, P. M. Rossini, and F. Carducci, "High-resolution electroencephalogram: Source estimates of Laplaciantransformed somatosensory-evoked potentials using a realistic subject head model constructed from magnetic resonance images.," Med. Bioi. Eng. Comput., vol.38, no.5, pp. 512-519, Sep 2000.
5. F. Babiloni, F. Cincotti, C. Babiloni, F. Carducci, D. Mattia, L. Astolfi, A. Basilisco, P. M. Rossini, L. Ding, Y. Ni, J. Cheng, K. Christine, J. Sweeney, and B. He, "Estimation of the cortical functional connectivity with the multimodal integration of highresolution EEG and fMRI data by directed transfer function.," Neuroimage, vol.24, no.1, pp. 118-131, Jan 2005.
6. G. J. M. Van Boxtel and K. B. E. Böcker, "Cortical measures of anticipation," Journal of Psychophysiology, vol.18,pp.61-76,2004.
7. B. Rockstroh, T. Elbert, A. Canavan, W. Lutzenberger, and N. Birbaumer, Slow Cortical Potentials and Behaviour, Urban & Schwarzenberg, 2nd edition, 1989.
8. W. G. Walter, R. Cooper, V. J. Aldridge, W. C. McCallum, and A. L. Winter, "Contingent negative variation: An electric sign of sensorimotor association and expectancy in the human brain," Nature, vol.203, pp. 380-384, 1964.
9. G. Garipelli, R. Chavarriaga, and J. del. R. Millan, "Recognition of anticipatory behavior from human EEG.," in Proc 4th Intl. Brain-Computer Interface Workshop and Training Course, Graz; 2008.
10. G. Gangadhar, R. Chavarriaga, and J. del. R. Millán, "Fast recognition of anticipation related potentials," IEEE Tran Biomed Eng, vol.56, no.4, pp. 1257-1260, 2009.
11. G. Garipelli, R. Chavarriaga, and J. del. R. Millan, "Anticipation based brain-computer interfacing (aBCI)," in Proc 4th Intl. IEEE EMBS Conference on Neural Engineering, Antalya, 2009.
12. L. Bozinovska, S. Bozinovski, and G. Stojanov, "Electroexpectogram: Experimental design and algorithms," in Proceedings IEEE Biomedical Engineering Days, 1992, 1992, pp. 58-60.
13. R. O. Duda, P. E. Hart, and D.G. Stork, Pattern Classification, Wiley & Sons, 2nd edition, 2001.