A space-time-frequency analysis approach for the classification motor imagery EGG recordings in a Brain Computer Interface Task

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

Volumn , Issue , 2006, Pages 2581-2584

  Ince, Nuri F ^b   Tewfik, Ahmed H ^b   Arica, Sami ^a,c  

^a IEEE   (Turkey)

^b UNIVERSITY OF MINNESOTA   (United States)

^c CUKUROVA UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SPACE TIME FREQUENCY ANALYSIS; BRAIN COMPUTER INTERFACE TASKS; MOTOR IMAGERY;

ADAPTIVE SYSTEMS; BRAIN; GASTROENTEROLOGY; HUMAN COMPUTER INTERACTION; RECORDING INSTRUMENTS; SPACE TIME ADAPTIVE PROCESSING; USER INTERFACES;

NEUROLOGY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN MAPPING; COMPUTER INTERFACE; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; EVALUATION STUDY; EVOKED MUSCLE RESPONSE; HUMAN; IMAGINATION; METHODOLOGY; MOTOR CORTEX; PHYSIOLOGY; TASK PERFORMANCE;

ALGORITHMS; BRAIN MAPPING; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; HUMANS; IMAGINATION; MOTOR CORTEX; PATTERN RECOGNITION, AUTOMATED; TASK PERFORMANCE AND ANALYSIS; USER-COMPUTER INTERFACE;

EID: 84903868059     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260052     Document Type: Conference Paper

References (13)

1. G. Pfurtscheller, C. Neuper, "Motor Imagery and Direct Brain-Computer Interface," Proceeding of IEEE, vol.89, pp. 1123-1134, 2001.
2. J . Wessberg, C . Stambaugh, J . Kralik, P. Beck, M. .Laubach, Chapin J, Kim J, Biggs S, Srinivasan M, and M . Nicolelis, Real-time prediction of hand trajectory by ensembles of cortical neurons in primates Nature 408361-65, 2002
3. C. Neuper, G. Pfurtscheller, "Event-related dynamics of cortical rhytms: frequency-specific features and functional correlates," Inter. Jour. of Psychophys., 43, pp. 41-58, 2001.
4. M. Prezenger, G. Pfurtscheller, "Frequency component selection for an EEG-based brain computer interface," IEEE Trans. on Rehabil. Eng. 7, pp. 413-419, 1999.
5. A. Schlögl, D. Flotzinger, G. Pfurtscheller, "Adaptive autoregressive modeling used for single trial EEG classification," Biomed. Technik 42, pp. 162-167, 1997.
6. N. F. Ince, S. Arica, "Analysis and Visualization of ERD and ERS with Adapted Local Cosine Transform," Proceedings of 26th Annual International Conference of IEEE Engineering in Medicine and Biology Society, EMBC, San Francisco, 2004.
7. N. F. Ince, A. Tewfik, S. Arica, "Classification of movement EEG with Local Discriminant Bases," 30th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) Society, IEEE, Philadelphia, 2005.
8. J. Ginter Jr., K. J. Blinowska, M. Kaminski, P. J. Durka, "Phase and Amplitude analysis in time- frequency space-application to voluntary finger movement," Journal of Neuroscience Methods 110, pp. 113-24, 2001.
9. T. Wang, and B. He, "Classifying EEG-based motor imagery tasks by means of time-frequency synthesized spatial patterns", Clin. Neuro. vol. 115, pp. 2744-2753, 2004.
10. A. Osman, and A. Robert, "Time-course of cortical activation during overt and imagined movements", in Proc. Cognitive Neuroscience Annu. Meet, New York, 2001.
11. N. Saito, R. R. Coifman, F. B. Geshwind, F. Warner, "Discriminant feature extraction using empirical probability density and a local basis library," Pattern Recognition, vol.35, pp. 1842-1852, 2002.
12. N. F. Ince, Sami Arica, Ahmed Tewfik, "Classification of single trial motor imagery EEG recordings by using subject adapted non-dyadic arbitrary time-frequency tilings," Journal of Neural Engineering (accepted), 2006.
13. Bishop C. M., Neural Networks for Pattern Recognition, Oxford, U.K., Clarendon, 1995.