Classifying EEG-based motor imagery tasks by means of time-frequency synthesized spatial patterns

Clinical Neurophysiology

Volumn 115, Issue 12, 2004, Pages 2744-2753

  Wang, Tao ^a   Deng, Jie ^a   He, Bin ^a,b  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Brain computer interface (BCI); Electroencephalography (EEG); Event related desynchronization (ERD); Motor imagery; Spatial correlation; Time frequency weighting

Indexed keywords

ACCOMMODATION; ACCURACY; ARTICLE; COMPUTER INTERFACE; CONTROLLED STUDY; DECOMPOSITION; ELECTRODE; ELECTROENCEPHALOGRAM; FREQUENCY ANALYSIS; HAND MOVEMENT; HUMAN; OSCILLATION; PRIORITY JOURNAL; SENSORIMOTOR CORTEX; SPATIAL ORIENTATION; SYNTHESIS; TASK PERFORMANCE; TIME; TRAINING; VALIDATION PROCESS; WEIGHT;

BRAIN MAPPING; COMMUNICATION AIDS FOR DISABLED; ELECTROENCEPHALOGRAPHY; HAND; HUMANS; IMAGINATION; MODELS, NEUROLOGICAL; MOVEMENT; USER-COMPUTER INTERFACE;

EID: 8844271035     PISSN: 13882457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinph.2004.06.022     Document Type: Article

References (46)

1. F. Babiloni, C. Babiloni, F. Carducci, L. Fattorini, P. Onorati, and A. Urbano Spline Laplacian estimate of EEG potentials over a realistic magnetic resonance-constructed scalp surface model Electroencephalogr Clin Neurophysiol 98 4 1996 363 373
2. F. Babiloni, F. Cincotti, L. Lazzarini, J. Millan, J. Mourino, M. Varsta, J. Heikkonen, L. Bianchi, and M.G. Marciani Linear classification of low-resolution EEG patterns produced by imagined hand movements IEEE Trans Rehabil Eng 8 2 2000 186 188
3. F. Babiloni, F. Cincotti, L. Bianchi, G. Pirri, Jd.R. Millán, J. Mourio, S. Salinari, and M.G. Marciani Recognition of imagined hand movements with low resolution surface Laplacian and linear classifiers Med Eng Phys 23 5 2001 323 328
4. R. Beisteiner, P. Höllinger, G. Lindinger, W. Lang, and A. Berthoz Mental representations of movements. Brain potentials associated with imagination of hand movements Electroencephalogr Clin Neurophysiol 96 2 1995 183 193
5. N. Birbaumer, A. Kübler, N. Ghanayim, T. Hinterberger, J. Perelmouter, J. Kaiser, I. Iversen, B. Kotchoubey, N. Neumann, and H. Flor The thought translation device (TTD) for completely paralyzed patients IEEE Trans Rehabil Eng 8 2000 190 193
6. F. Cincotti, D. Mattia, C. Babiloni, F. Carducci, S. Salinari, L. Bianchi, M.G. Marciani, and F. Babiloni The use of EEG modifications due to motor imagery for brain-computer interfaces IEEE Trans Neural Syst Rehabil Eng 11 2 2003 131 133
7. J. Decety, H. Sjoholm, E. Ryding, G. Stenberg, and D.H. Ingvar The cerebellum participates in mental activity: tomographic measurements of regional cerebral blood flow Brain Res 535 2 1990 313 317
8. E. Donchin, K.M. Spencer, and R. Wijesinghe The mental prosthesis: assessing the speed of a P300-based brain-computer interface IEEE Trans Rehabil Eng 8 2 2000 174 179
9. L. Ersland, G. Rosen, A. Lundervold, A.I. Smievoll, T. Tillung, H. Sundberg, and K. Hugdahl Phantom limb imaginary fingertapping causes primary motor cortex activation: an fMRI study NeuroReport 8 1 1996 207 210
10. B. He High resolution source imaging of brain electrical activity IEEE Eng Medicine Biol 17 5 1998 123 129
11. B. He Brain electric source imaging: scalp Laplacian mapping and cortical imaging Crit Rev Biomed Eng 27 1999 149 188
12. B. He, and R.J. Cohen Body surface Laplacian ECG mapping IEEE Trans Biomed Eng 39 1992 1179 1191
13. B. He, and D. Wu A bioelectric inverse imaging technique based on surface Laplacians IEEE Trans Biomed Eng 44 1997 529 538
14. B. He, and D. Wu Laplacian electrocardiography Crit Rev Biomed Eng 27 1999 285 338
15. B. He, J. Lian, and G. Li EEG: a high-resolution new realistic geometry spline Laplacian estimation technique Clin Neurophysiol 112 2001 845 852
16. B. Hjorth An on-line transformation of EEG scalp potentials into orthogonal source derivations Electroencephalogr Clin Neurophysiol 39 5 1975 526 530
17. M. Jeannerod The representing brain: neural correlates of motor intention and imagery Behav Brain Sci 17 2 1994 187 245
18. J. Kalcher, and G. Pfurtscheller Discrimination between phase-locked and onophase-locked event-related EEG activity Electroencephalogr Clin Neurophysiol 94 1995 381 483
19. P.R. Kennedy, R.A. Bakay, M.M. Moore, K. Adams, and J. Goldwaithe Direct control of a computer from the human central nervous system IEEE Trans Rehabil Eng 8 2 2000 198 202
20. W. Lang, D. Cheyne, P. Hollinger, W. Gerschlager, and G. Lindinger Electric and magnetic fields of the brain accompanying internal simulation of movement Brain Res Cogn 3 2 1996 125 129
21. J. Le, V. Menon, and A. Gevins Local estimate of surface Laplacian derivation on a realistically shaped scalp surface and its performance on noisy data Electroenceph Clin Neurophysiol 92 1992 433 441
22. S.P. Levine, J.E. Huggins, S.L. BeMent, R.K. Kushwaha, L.A. Schuh, M.M. Rohde, E.A. Passaro, D.A. Ross, K.V. Elisevich, and B.J. Smith A direct brain interface based on event-related potentials IEEE Trans Rehabil Eng 8 2 2000 180 185
23. S.G. Mason, and G.E. Birch A brain-controlled switch for asynchronous control applications IEEE Trans Biomed Eng 47 2000 1297 1307
24. D.J. McFarland, L.M. McCane, S.V. David, and J.R. Wolpaw Spatial filter selection for EEG-based communication Electroencephalogr Clin Neurophysiol 103 3 1997 386 394
25. M. Middendorf, G. McMillan, G. Calhoun, and K.S. Jones Brain-computer interfaces based on the steady-state visual-evoked response IEEE Trans Rehabil Eng 8 2 2000 211 214
26. Jd.R. Millán, and J. Mourio Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project IEEE Trans Neural Syst Rehabil Eng 11 2 2003 159 161
27. Jd.R. Millán, J. Mourio, M. Franzé, F. Cincotti, M. Varsta, J. Heikkonen, and F. Babiloni A local neural classifier for the recognition of EEG patterns associated to mental tasks IEEE Trans Neural Networks 13 3 2002 678 686
28. J. Müller-Gerking, G. Pfurtscheller, and H. Flyvbjerg Designing optimal spatial filters for single-trial EEG classification in a movement task Clin Neurophysiol 110 5 1999 787 798
29. P. Nunez, R.B. Silibertein, P.J. Cdush, R.S. Wijesinghe, A.F. Westdrop, and R. Srinivasan A theoretical and experimental study of high resolution EEG based on surface Laplacian and cortical imaging Electroenceph Clin Neurophysiol 90 1994 40 57
30. A. Osman, and A. Robert Time-course of cortical activation during overt and imagined movements Cognitive Neuroscience Annual Meeting, New York 2001
31. A. Papoulis Signal analysis 1977 McGraw-Hill Book Company
32. F. Perrin, O. Bertrand, and J. Pernier Scalp current density mapping: value and estimation from potential data IEEE Trans Biomed Eng 34 1987 283 288
33. B.O. Peters, G. Pfurtscheller, and H. Flyvbjerg Prompt recognition of brain states by their EEG signals Theory Biosci 116 1997 290 301
34. B.O. Peters, G. Pfurtscheller, and H. Flyvbjerg Automatic differentiation of multichannel EEG signals IEEE Trans Biomed Eng 48 1 2001 111 116
35. G. Pfurtscheller, and C. Neuper Motor imagery and direct brain-computer communication Proc IEEE 89 7 2001 1123 1134
36. G. Pfurtscheller, C. Neuper, D. Flotzinger, and M. Pregenzer EEG-based discriminination between imagination of right and left hand movement Electroencephalogr Clin Neurophysiol 103 1997 642 651
37. G. Pfurtscheller, C. Neuper, A. Schlögl, and K. Lugger Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters IEEE Trans Rehabil Eng 6 3 1998 316 325
38. H. Ramoser, J. Müller-Gerking, and G. Pfurtscheller Optimal spatial filtering of single trial EEG during imagined hand movement IEEE Trans Rehabil Eng 8 4 2000 441 446
39. P. Sajda, A. Gerson, K.R. Müeller, B. Blankertz, and L. Parra A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces IEEE Trans Neural Syst Rehabil Eng 11 2 2003 184 185 datasets and details about the results available at: http://newton.bme.columbia. edu/competition.htm
40. A. Vallabhaneni, and B. He Motor imagery task classification for brain-computer interface applications using spatio-temporal principle component analysis Neurol Res 26 3 2004 282 287
41. T.M. Vaughan, W.J. Heetderks, L.J. Trejo, W.Z. Rymer, M. Weinrich, M.M. Moore, A. Kubler, B.H. Dobkin, N. Birbaumer, E. Donchin, E.W. Wolpaw, and J.R. Wolpaw Guest editorial brain-computer interface technology: a review of the second international meeting IEEE Trans Neural Syst Rehabil Eng 11 2 2003 94 109
42. T. Wang, and B. He An efficient rhythmic component expression and weighting synthesis strategy for classifying motor imagery EEG in brain-computer interface J Neural Eng 1 2004 1 7
43. J.R. Wolpaw, D.J. McFarland, G.W. Neat, and C.A. Forneris An EEG-based brain-computer interface for cursor control Electroencephalogr Clin Neurophysiol 78 1991 252 259
44. J.R. Wolpaw, N. Birbaumer, W.J. Heetderks, D.J. McFarland, P.H. Peckham, G. Schalk, E. Donchin, L.A. Quatrano, C.J. Robinson, and T.M. Vaughan Brain-computer interface technology: a review of the first international meeting IEEE Trans Rehabil Eng 8 2000 164 173
45. J.R. Wolpaw, N. Birbaumer, D.J. McFarland, G. Pfurtscheller, and T.M. Vaughan Brain-computer interfaces for communication and control Clin Neurophysiol 113 2002 767 791
46. F. Zhao, and B. He A new algorithm to estimate surface Laplacian and its applications to visual evoked potentials Electromagnetics 21 2001 633 640