A wavelet-based time-frequency analysis approach for classification of motor imagery for brain-computer interface applications

Journal of Neural Engineering

Volumn 2, Issue 4, 2005, Pages 65-72

  Qin, Lei ^a   He, Bin ^a  

^a University of Minnesota   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CLASSIFICATION (OF INFORMATION); ELECTRODES; INTERFACES (COMPUTER); SYNCHRONIZATION; WAVELET TRANSFORMS;

BRAIN-COMPUTER INTERFACES; EEG SIGNALS; IMAGERY TASK;

ELECTROENCEPHALOGRAPHY;

ANALYTIC METHOD; ARTICLE; BRAIN COMPUTER INTERFACE; CONTROLLED STUDY; ELECTRODE; HUMAN; HUMAN EXPERIMENT; MATHEMATICAL ANALYSIS; MOTOR ACTIVITY; NEUROIMAGING; PRIORITY JOURNAL; TASK PERFORMANCE;

ALGORITHMS; BRAIN; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; HUMANS; IMAGINATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; USER-COMPUTER INTERFACE;

EID: 28444442730     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/2/4/001     Document Type: Article

References (37)

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, Bianchi L, Pirri G, Millan JdR, Mourĩo J, Salinari S and Marciani M G 2001 Recognition of imagined hand movements with low resolution surface Laplacian and linear classifiers Med. Eng. Phys. 23 323-8
3. 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
4. Birbaumer N and Kubler A 2000 The thought translation device (TTD) for completely paralyzed patients IEEE Trans. Rehabil. Eng. 8 190-3
5. Farwell L A and Donchin E 1988 Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials Electroencephalogr. Clin. Neurophysiol. 70 510-23
6. He B 1999 Brain electric source imaging: scalp Laplacian mapping and cortical imaging Crit. Rev. Biomed. Eng. 27 149-88
7. He B and Cohen R J 1992 Body surface Laplacian ECG mapping IEEE Trans. Biomed. Eng. 39 1179-91
8. He B, Lian J and Li G 2001 High-resolution EEG: a new realistic geometry spline Laplacian estimation technique Clin. Neurophysiol. 112 845-52
9. Hjorth B 1975 An on-line transformation of EEG scalp potentials into orthogonal source derivations Electroencephalogr. Clin. Neurophysiol. 39 526-30
10. Kalcher J, Flotzinger D, Neuper C, Golly S and Pfurtscheller G 1996 Graz brain-computer interface III-toward communication between humans and computers based on online classification of three different EEG patterns Med. Biol. Eng. Comput. 34 382-8
11. Kohonen T 1990 The self-organizing map Proc. IEEE 78 1464-80
12. Kordylewski H, Graupe D and Kai L 2001 A novel large-memory neural network as an aid in medical diagnosis applications IEEE Trans. Inf. Technol. Biomed. 5 202-9
13. McFarland A D J, Lefkowicz A T and Wolpaw J R 1997a Design and operation of an EEG-based brain-computer interface with digital signal processing technology Behav. Res. Methods Instrum. Comput. 29 337-45
14. McFarland D J, McCane L M, David S V and Wolpaw J R 1997b Spatial filter selection for EEG-based communication Electroencephalogr. Clin. Neurophysiol. 103 386-94
15. McFarland D J, Miner L A, Vaughan T M and Wolpaw J R 2000 Mu and beta rhythm topographies during motor imagery and actual movements Brain topogr. 12 177-86
16. Millan JdR, Mourĩo J, Franzé M, Cincotti F, Varsta M, Heikkonen J and Babiloni F 2002 A local neural classifier for the recognition of EEG patterns associated to mental tasks IEEE Trans. Neural Netw. 13 678-86
17. Muller-Gerking J, Pfurtscheller G and Flyvbjerg H 1999 Designing optimal spatial filters for single-trial EEG classification in a movement task Clin. Neurophysiol. 110 787-98
18. Nigam V P and Graupe D 2004 A neural-network-based detection of epilepsy Neurol. Res. 26 55-60
19. Osman A and Robert A 2001 Time-course of cortical activation during overt and imagined movements Cognit Neuroscience Annual Meeting (New York, March 2001)
20. Perrin F, Bertrand O and Pernier J 1987 Scalp current density mapping: value and estimation from potential data IEEE Trans. Biomed. Eng. 34 283-8
21. Pfurtscheller G 1999 Event-related Desynchronization Handbook of Electroencephalography and Clinical Neurophysiology vol 6 (The Netherlands: Elsevier) pp 51-65
22. 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
23. Pfurtscheller G, Neuper C, Flotzinger D and Pregenzer M 1997 EEG-based discrimination between imagination of right and left hand movement Electroencephalogr. Clin. Neurophysiol. 103 642-51
24. Qin L, Ding L and He B 2004 Motor imagery classification by means of source analysis for brain computer interface applications J. Neural Eng. 1 135-41
25. Ryu C S, Song Y, Kim S H, Yi I, Kim J and Sohn J 1998 A time-frequency analysis of the EEG evoked by negative and positive visual stimuli Proc. 20th IEEE Eng. Med. Biol. Soc. 20 pp 105-8
26. 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
27. Sinkkonen J, Tiitinen H and Näätänen R 1995 Gabor filters: an informative way for analyzing event-related brain activity J. Neurosci. Methods 56 99-104
28. Sutter E E 1984 The visual evoked response as a communication channel Proc. IEEE/NSF Symp. Biosensors pp 95-100
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 Neurol. Res. 26 282-7
31. Vallabhaneni A, Wang T and He B 2005 Brain computer interface Neural Engineering ed B He (New York: Kluwer/Plenum) pp 85-122
32. Wang T, Deng J and He B 2004 Classifying EEG-based motor imagery tasks by means of time-frequency synthesized spatial patterns Clin. Neurophysiol. 115 2744-53
33. 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
34. 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
35. Wolpaw J R, Flotzinger D, Pfurtscheller G and McFarland D J 1997 Timing of EEG-based cursor control J. Clin. Neurophysiol. 14 529-38
36. 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
37. Zhao F and He B 2001 A new algorithm to estimate surface Laplacian and its applications to visual evoked potentials Electromagnetics 21 633-40