Adaptive spatial filters with predefined region of interest for EEG based brain-computer-interfaces

Advances in Neural Information Processing Systems

Volumn , Issue , 2007, Pages 537-544

  Grosse Wentrup, Moritz ^a   Gramann, Klaus ^b   Buss, Martin ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SPATIAL FILTER; CLASSIFICATION RATES; CLASSIFICATION RESULTS; COMMON SPATIAL PATTERNS; IMAGINARY MOVEMENTS; MENTAL STATE; MOTOR CORTEX; REGION OF INTEREST; TRAINING DATA;

ALGORITHMS; ELECTRIC FIELDS;

IMAGE SEGMENTATION;

EID: 84864035632     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. J.R. Wolpaw, N. Birbaumer, D.J. McFarland, G. Pfurtscheller, and T.M. Vaughan. Braincomputer interfaces for communication and control. Clinical Neurophysiology, 113(6):767-791, 2002.
2. H.H. Jasper and W. Penfield. Electrocorticograms in man: effect of the voluntary movement upon the electrical activity of the precentral gyrus. Arch. Psychiat. Z. Neurol., 183:163-174,1949.
3. G. Pfurtscheller, Ch. Neuper, D. Flotzinger, and M. Pregenzer. EEG-based discrimination between imagination of right and left hand movement. Electroencephalography and Clinical Neurophysiology, 103:642-651, 1997.
4. G. Pfurtscheller and F.H. Lopes da Silva. Event-related EEG/MEG synchronization and desynchronization: basic principles. Clinical Neurophysiology, 110:1842-1857, 1999.
5. G. Blanchard and B. Blankertz. BCI competition 2003 - data set IIa: Spatial patterns of self-controlled brain rythm modulations. IEEE Transactions on Biomedical Engineering, 51(6):1062-1066, 2004.
6. Z.J. Koles. The quantitative extraction and topographic mapping of the abnormal components in the clinical EEG. Electroencephalography and Clinical Neurophysiology, 79:440-447, 1991.
7. H. Ramoser, J. Mueller-Gerking, and G. Pfurtscheller. Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Transactions on Rehabilitation Engineering, 8(4):441-446, 2000.
8. L.C. Parra, C.D. Spence, A.D. Gerson, and P. Sajda. Recipes for linear analysis of EEG. Neuroimage, 28:326-341, 2005.
9. S. Baillet, J.C. Mosher, and R.M. Leahy. Electromagnetic brain mapping. IEEE Signal Processing Magazine, 18(6):14-30, 2001.
10. P.L. Nunez and R. Shrinivasan. Electric Fields of the Brain. The Neurophysics of EEG. Oxford University Press, 2nd edition, 2006.
11. B.N. Cuffin and D. Cohen. Comparison of the magnetoencephalogram and electroencephalogram. Electroencephalography and Clinical Neurophysiology, 47(2):132-146, 1979.
12. A. Delorme and S. Makeig. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics. Journal of Neuroscience Methods, 134:9-21, 2004.
13. R.O. Duda, P.E. Hart, and D.G. Stork. Pattern Classification. Wiley, 2nd edition, 2000.