Classification of imagined beats for use in a brain computer interface

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 678-681

  De Kruif, Bas J ^a   Schaefer, Rebecca ^a   Desain, Peter ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); ELECTROENCEPHALOGRAPHY; INTERFACES (COMPUTER); SIGNAL ANALYSIS;

CLASSIFICATION RATE; EEG SIGNALS;

BIOMEDICAL ENGINEERING;

ARTICLE; BRAIN; COMPUTER INTERFACE; ELECTROCARDIOGRAPHY; FEMALE; HUMAN; IMAGINATION; MALE; PHYSIOLOGY;

BRAIN; ELECTROCARDIOGRAPHY; FEMALE; HUMANS; IMAGINATION; MALE; USER-COMPUTER INTERFACE;

EID: 57649243292     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4352381     Document Type: Conference Paper

References (14)

1. A. J. Bell and T. J. Sejnowski. An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7(6): 1129-1159, 1995.
2. A. Delorme and S. Makeig. EEG changes accompanying learned regulation of 12-Hz EEG activity. IEEE Transactions on neural systems and Rehabilitation engineering, 11(2): 133-136, 2003.
3. A. Delorme and S. Makeig. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134:9-21, 2004.
4. P. Desain. What rhythm do I have in mind? detection of imagined temporal patterns from single trial erp. In Proceedings of the International Conference on Music Perception and Cognition (ICMPC), page 209, 2004.
5. R. O. Duda, E. Hart, and D. G. Stork. Pattern Classification. Wiley-Interscience, New York, 2nd edition, 2001.
6. M.L.A. Jongsma, T. Eichele, R. Quian Quiroga, K.M. Jenks, P. Desain, H. Honing, and C.M. van Rijn. Expectancy effects on omission evoked potentials in musicians and non-musicians. Psychophysiology, 42(2):191-201, 2005.
7. B.J. de Kruif and P. Desain. Designing a multi trial classifier for EEG signals: classifying rhythms perceived. In Proc. of IEEE International Workshop on Machine Learning for Signal Processing, pages 193-198, Maynooth, Ireland, 2006.
8. T.-W. Lee, M. Girolami, and T. J. Sejnowski. Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources. Neural Computation, 11 (2):609-633, 1999.
9. S. Makeig, S. Debener, J. Onton, and A. Delorme. Mining eventrelated brain dynamics. Trends in Cognitive Science, 8(5):204-210, May 2004.
10. H. Mamitsuka. Selecting features in microarray classification using ROC curves. Pattern Recognition, 39(12):2393-2404, 2006.
11. J.A. Michon and J.L. Jackson. Time, mind, and behavior. Springer, Berlin, 1985.
12. J. Onton and S. Makeig. Progress in Brain Research, chapter Information-based modeling of event-related brain dynamics, pages 99-120. Elsevier, 2006.
13. H. Ramoser, J. Muller-Gerking, and G. Pfurtscheller. Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Transactions on Rehabilitation Engineering, 8:441-446, 2000.
14. J.S. Snyder and E.W. Large. Gamma-band activity reflects the metric structure of rhythmic tone sequences. Cognitive Brain Research, 24:117 - 126, 2005.