Motor imagery classification by means of source analysis for brain-computer interface applications

Journal of Neural Engineering

Volumn 1, Issue 3, 2004, Pages 135-141

  Qin, Lei ^a   Ding, Lei ^a   He, Bin ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CURRENT DENSITY; INDEPENDENT COMPONENT ANALYSIS; INTERFACES (COMPUTER);

BRAIN-COMPUTER INTERFACE APPLICATIONS; EQUIVALENT DIPOLE ANALYSIS; MOTOR IMAGERY CLASSIFICATION; SOURCE ANALYSIS METHOD;

IMAGING TECHNIQUES;

ARTICLE; BRAIN COMPUTER INTERFACE; BRAIN FUNCTION; CONTROLLED STUDY; DIPOLE; ELECTROENCEPHALOGRAPHY; HUMAN; HUMAN EXPERIMENT; IMAGINATION; MOTOR CORTEX; MOTOR PERFORMANCE; NORMAL HUMAN; PRIORITY JOURNAL; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN MAPPING; COMMUNICATION AID; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; EVALUATION; EVOKED MUSCLE RESPONSE; METHODOLOGY; PATHOPHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; VALIDATION STUDY;

ALGORITHMS; BRAIN MAPPING; COMMUNICATION AIDS FOR DISABLED; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; HUMANS; IMAGINATION; MODELS, NEUROLOGICAL; MOTOR CORTEX; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; USER-COMPUTER INTERFACE;

EID: 19044393722     PISSN: 17412560     EISSN: None     Source Type: Journal    
DOI: 10.1088/1741-2560/1/3/002     Document Type: Article

References (34)

1. Babiloni F, Babiloni C, Carducci F, Fattorini L, Onorati P and Urbano A 1996 Spline Laplacian estimate of EEG potentials over a realistic magnetic resonance-constructed scalp surface model Electroencephalogr. Clin. Neurophysiol. 98 363-73
2. Babiloni F, Cincotti F, Lazzarini L, Millan J, Mourino J, Varsta M, Heikkonen J, Bianchi L and Marciani M G 2000 Linear classification of low-resolution EEG patterns produced by imagined hand movements IEEE Trans. Rehabil. Eng. 8 186-8
3. Babiloni F, Febo C and Luigi B 2001 Recognition of imagined hand movements with low resolution surface Laplacian and linear classifiers Med. Eng. Phys. 23 323-8
4. Birbaumer N 1999 A spelling device for the paralysed Nature 398 297-8
5. Comon P 1994 Independent component analysis, a new concept? Signal Process. 36 287-314
6. Dale A M and Sereno M 1993 Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach J. Cogn. Neurosci. 5 162-76
7. Donoghue J P 2002 Connecting cortex to machines: recent advances in brain interfaces Nature Neurosci. Suppl. 2002 1085-8
8. Hansen P C 1992 Analysis of discrete ill-posed problems by means of the L-curve SIAM Rev. 34 561-80
9. He B 1999 Brain electric source imaging: scalp Laplacian mapping and cortical imaging Crit. Rev. Biomed. Eng. 27 149-88
10. He B (ed) 2004 Modeling and Imaging of Bioelectric Activity - Principles and Applications (Dordrecht: Kluwer/Plenum)
11. He B and Lian J 2004 Electrophysiological neuroimaging Neural Eng. ed B He (Dordrecht: Kluwer/Plenum) at press
12. He B, Lian J and Li G 2001 High-resolution EEG: a new realistic geometry spline Laplacian estimation technique Clin. Neurophysiol. 112 845-52
13. He B, Musha T, Okamoto Y, Homma S, Nakajima Y and Sato T 1987 Electric dipole tracing in the brain by means of the boundary element method and its solution accuracy IEEE Trans. Biomed. Eng. 34 406-14
14. He B, Zhang Z, Lian J, Sasaki H, Wu S and Towle V L 2002 Boundary element method based cortical potential imaging of somatosensory evoked potentials using subjects' magnetic resonance images Neuroimage 16 564-76
15. Hjorth B 1975 An on-line transformation of EEG scalp potentials into orthogonal source derivations Electroencephalogr. Clin. Neurophysiol. 39 526-30
16. Hyvärinen A and Oja E 1997 A fast fixed-point algorithm for independent component analysis Neural Comput. 9 1483-92
17. Jutten C and Herault J 1991 Blind separation of sources: I. An adaptive algorithm based on neuromimetic architecture Signal Process. 24 1-10
18. Kowalik J and Osborne M R 1968 Methods for Unconstrained Optimization Problems (New York: Elsevier)
19. McFarland D J, McCane L M, David S V and Wolpaw J R 1997 Spatial filter selection for EEG-based communication Electroencephalogr. Clin. Neurophysiol. 103 386-94
20. Nicolelis MAL 2001 Actions from thoughts Nature 409 403-7
21. Nicolelis MAL 2003 Brain-machine interfaces to restore motor function and probe neural circuits Nature 4 417-22
22. Osman A and Robert A 2001 Time-course of cortical activation during overt and imagined movements Cognit. Neurosci. Ann. Meeting (New York, March)
23. Pfurtscheller G 1999 Event-Related Desynchronization (Amsterdam: Elsevier) pp 303-25
24. Pfurtscheller G and Neuper C 1994 Event-related synchronization of mu rhythm in the EEG over the cortical hand area in man Neurosci. Lett. 174 93-6
25. Pfurtscheller G, Neuper Ch, Flotzinger D and Pregenzer M 1997 EEG-based discrimination between imagination of right and left hand movement Electroencephalogr. Clin. Neurophysiol. 103 642-51
26. Rohde M M, Belment S L, Huggins J E, Levine S P, Kushwaha R K and Schuh L A 2002 Quality estimation of subdurally recorded, event-related potentials based on signal-to-noise ratio IEEE Trans. Biomed. Eng. 49 31-40
27. Rush S and Driscoll D 1968 Current distribution in the brain from surface electrodes Anesth. Analg. 47 717-23
28. Sajda P, Gerson A, Mueller K R, Blankertz B and Parra L 2003 A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces IEEE Trans. Neural. Syst. Rehabil. Eng. 11 184-5
29. Tallon-Baudry C, Bertrand O, Delpuech C and Pernier J 1997 Oscillatory γ-band activity induced by a visual search task in humans J. Neurosci. 17 722-34
30. Vallabhaneni A and He B 2004 Motor imagery task classification for brain computer interface applications using spatiotemporal principle component analysis Neurolog. Res. 26 282-7
31. Vallabhaneni A, Wang T and He B 2004 Brain computer interface Neural Engineering ed B He (Dordrecht: Kluwer/Plenum) at press
32. Wang T and He B 2004 An efficient rhythmic component expression and weighting synthesis strategy for classifying motor imagery EEG in brain computer interface J. Neural Eng. 1 1-7
33. Wolpaw J R, Birbaumer N, McFarland D J, Pfurtscheller G and Vaughan T M 2002 Brain-computer interfaces for communication and control Clin. Neurophysiol. 113 767-91
34. Wolpaw J R, McFarland D J, Neat G W and Forneris C A 1991 An EEG-based brain-computer interface for cursor control Electroencephalogr. Clin. Neurophysiol. 78 252-9