A brain computer interface for communication using real-time fMRI

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 3665-3669

  Eklund, Anders ^a   Andersson, Mats ^a   Ohlsson, Henrik ^a   Ynnerman, Anders ^a   Knutsson, Hans ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

Author keywords

ANN; BCI; Brain computer interface; EEG; Real time fMRI; SVM

Indexed keywords

ANN; BCI; EEG; REAL-TIME FMRI; SVM;

BRAIN; COMMUNICATION; COMPUTER KEYBOARDS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; INTERFACES (COMPUTER); MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION; RESONANCE; SCANNING;

BRAIN COMPUTER INTERFACE;

EID: 78149482664     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.894     Document Type: Conference Paper

References (15)

1. S. Laconte, S. Peltier, and X. Hu, "Real-time fMRI using brain-state classification," Human Brain Mapping, vol. 28, pp. 1033-1044, 2007.
2. A. Eklund, H. Ohlsson, M. Andersson, J. Rydell, A. Ynnerman, and H. Knutsson, "Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification," Lecture Notes in Computer Science, Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 5761, pp. 1000-1008, 2009.
3. J. Wolpaw, N. Birbaumer, D. McFarland, G. Pfurtscheller, and T. Vaughan, "Brain-computer interfaces for communication and control," Clinical Neurophysiology, vol. 113, pp. 767-791, 2002.
4. B. Sorger, B. Dahmen, J. Reithler, O. Gosseries, A. Maudoux, S. Laudreys, and R. Goebel, "Another kind of 'BOLD response': answering multiple-choice questions via online decoded single trial brain signals," Progress in Brain Research, vol. 177, pp. 275-292, 2009.
5. S. Yoo, T. Fairneny, N. Chen, S. Choo, L. Panych, H. Park, S. Lee, and F. Jolesz, "Brain-computer interface using fMRI: spatial navigation by thoughts," Neuroreport, vol. 15, pp. 1591-1595, 2004.
6. T. Manoj, C. Guan, and J. Wu, "Robust classification of EEG signal for brain-computer interface," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, pp. 24-29, 2006.
7. S. Haykin, Neural networks - a comprehensive foundation. Prentice Hall, 2009, ISBN 0-13-273350-1.
8. T. Oakes, T. Johnstone, K. Walsh, L. Greischar, A. Alexander, A. Fox, and R. Davidson, "Comparison of fMRI motion correction software tools," Neuroimage, vol. 28, pp. 529-543, 2005.
9. M. Hemmendorff, M. Andersson, T. Kronander, and H. Knutsson, "Phase-based multidimensional volume registration," IEEE Transactions on Medical Imaging, vol. 21, pp. 1536-1543, 2002.
10. A. Eklund, M. Andersson, and H. Knutsson, "Phase based volume registration using CUDA," in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2010.
11. O. Friman, M. Borga, P. Lundberg, and H. Knutsson, "Detection and detrending in fMRI data analysis," Neuroimage, vol. 22, pp. 645-655, 2004.
12. R. Cox, "AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages," Computers and Biomedical Research, vol. 29, pp. 162-173, 1996.
13. M. Boly, M. Coleman, M. Davis, A. Hampshire, D. Bor, G. Moonen, P. Maquet, J. Pickard, S. Laureys, and A. Owen, "When thoughts become action: An fMRI paradigm to study volitional brain activity in non-communicative brain injured patients," Neuroimage, vol. 36, pp. 979-992, 2007.
14. O. Friman, T. Luth, I. Volosyak, and A. Gräser, "Spelling with steady-state visual evoked potentials," in Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering, 2007.
15. F. J. Pineda, "Generalization of back-propagation to recurrent neural networks," Phys. Rev. Lett., vol. 59, no. 19, pp. 2229-2232, 1987.