ICA+OPCA for artifact-robust classification of EEG data

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2003-January, Issue , 2003, Pages 585-594

  Park, Sungcheol ^a   Lee, Hyekyoung ^a   Choi, Seungjin ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROENCEPHALOGRAPHY; EXTRACTION; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; INDEPENDENT COMPONENT ANALYSIS; INTERFACES (COMPUTER); MARKOV PROCESSES; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING;

EEG PATTERN; HUMAN BRAIN; INDEPENDENT COMPONENT ANALYSIS(ICA); MULTIVARIATE TIME SERIES; NOISY DATA; ORIENTED PRINCIPAL COMPONENT ANALYSIS; ROBUST CLASSIFICATION; ROBUST FEATURE EXTRACTIONS;

BRAIN COMPUTER INTERFACE;

EID: 33644926708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2003.1318058     Document Type: Conference Paper

References (12)

1. S. Choi, A. Cichocki and S. Amari, "Flexible Independent Component Analysis," Journal of VLSI Signal Processing, vol. 26, no. 112, pp. 25-38, Aug. 2000.
2. A. Cichocki and S. Amari, Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications, John Wiley & Sons, Inc., 2002.
3. K. I. Diamantaras and S. Y. Kung, Principal Component Neural Networks: Theory and Applications, John Wiely & Sons, INC; 1996.
4. T. Ebrahimi, J. F. Vesin and G. Garcia, "Brain-Computer Interface in Multimedia Communication," IEEE Signal Processing Magazine, vol. 20, no. 1, pp. 14-24, Jan. 2003.
5. Z. Ghahramani. "An Introduction to Hidden Markov Models and Bavesian Networks," Journal of Pattern Recongition and Artificial Intelligence, vol. 15, no. 1, pp. 9-42, 2001.
6. A. Hyvlinen, J. Karhunen and E. Oja, Independent Component Analysis: John Wiley & Sons; Inc., 2001.
7. T. P. Jung, S. Makeig: hl. Westerfield, J. T. E. Courchesne and T. J. Sejnowski, "Removal of Eye Activity Artifacts from Visual Event-Related Potentials in Normal and Clinical Subjects." Clinical Neurophysiology, vol. 111, pp. 1745-1758, 2000.
8. H. Lee and S. Choi, "PCA-Based Linear Dynamical Systems for multichannel EEG Classification," in Proc. ICONIP, Singapore, 2002, pp. 745-749.
9. H. Lee and S. Choi, "PCA+HMhl+SVM for EEG Pattern Classification," in Proc. Int. Symp. Signal Processing and its Applications, Paris, France, 2003, to appear.
10. B. Ohermaier, C. Guger, C. Neuper and G. Pfurtscheller, "Hidden Markov Models for Online Classification of Single Trial EEG Data:" Pattern Recongnition Letters, vol. 22, pp. 1299-1309, 2001.
11. G. Pfurtscheller and C. Nenper, "Motor Imagery and Direct Brain-Computer Communication," Proc. of the IEEE, vol. 89, no. 7, pp. 1123-1134, 2001.
12. J. R. Wolpaw, N. Birhaumer, D. J. McFarland, G. Pfurtscheller and T. M. Vaughan, "Brain-Computer Interfaces for Communication and Control:" Clinical Neurophysiology, vol. 113, pp. 767-791, 2002.