Adaptive subject-based feature extraction in brain-computer interfaces using wavelet packet best basis decomposition

Medical Engineering and Physics

Volumn 29, Issue 1, 2007, Pages 48-53

  Yang, Bang hua ^a   Yan, Guo zheng ^a   Yan, Rong guo ^a   Wu, Ting ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Adaptive feature extraction; Brain computer interface (BCI); Electroencephalogram (EEG); Subject based feature extraction; Wavelet packet best basis decomposition (WPBBD)

Indexed keywords

ALGORITHMS; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; MEDICAL IMAGING; WAVELET TRANSFORMS;

ADAPTATION METHODS; ADAPTIVE FEATURE EXTRACTION; SUBJECT BASED FEATURE EXTRACTION; WAVELET PACKET BEST BASIS DECOMPOSITION (WPBBD);

HUMAN COMPUTER INTERACTION;

ACCURACY; ADAPTATION; ADULT; ALGORITHM; ARTICLE; BRAIN COMPUTER INTERFACE; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGERY; INFORMATION PROCESSING; MALE; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL DETECTION; TASK PERFORMANCE; WAVEFORM;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; ELECTROCARDIOGRAPHY; EVOKED POTENTIALS; FEMALE; HUMANS; IMAGINATION; MALE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; USER-COMPUTER INTERFACE;

EID: 33750469388     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2006.01.009     Document Type: Article

References (21)

1. Wolpaw J.R., Birbaumer N., and Heetderks W.J. Brain computer interface technology: a review of the first international meeting. IEEE Trans Rehab Eng 8 2 (2000) 64-73
2. Millán J.d.R., Mouriño J., Franzé M., Cincotti F., and Varsta M. A local neural classifier for the recognition of EEG patterns associated to mental tasks. IEEE Trans Neural Networks 13 3 (2002) 678-686
3. Millán J.d.R., and Mouriño J. Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project. IEEE Trans Neural Syst Rehab Eng 11 2 (2003) 159-161
4. Wolpaw J.R., McFarland D.J., Neat G.W., and Forneris C.A. An EEG-based brain-computer interface for cursor control. Electroenceph Clin Neurophysiol 78 3 (1991) 252-259
5. Birbaumer N., Ghanayim N., Hinterberger T., Iversen I., and Kotchoubey B. A spelling device for the paralyzed. Nature 398 (1999) 297-298
6. Burke D.P., Kelly S.P., Chazal P.D., Reilly R.B., and Finucane C. A parametric feature extraction and classification strategy for brain-computer interfacing. IEEE Trans Neural Syst Rehab Eng 13 1 (2005) 12-17
7. Pei X.M., and Zheng C.X. Feature extraction and classification of brain motor imagery task based on MVAR model. Proceedings of the Third International Conference on Machine Learning and Cybernetics (2004) 3726-3730
8. Keirn Z.A., and Aunon J.I. A new mode of communication between man and his surroundings. IEEE Trans Biomed Eng 37 12 (1990) 1209-1214
9. Anderson C.W., Stolz E.A., and Shamsunder S. Multivariate autoregressive models for classification of spontaneous electroencephalographic signals. IEEE Trans Biomed Eng 45 3 (1998) 277-286
10. Graimann B., Huggins J.E., and Levine S.P. Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis. IEEE Trans Biomed Eng 51 6 (2004) 954-962
11. Xue J.Z., Zhang H., Zheng C.X., and Yan X.G. Wavelet packet transform for feature extraction of EEG during mental tasks. Proceedings of the Second International Conference on Machine Learning and Cybernetics (2003) 360-363
12. Galka A. Topics in non-linear time series analysis: with implications for EEG analysis. Advanced series in non-linear dynamics (2000), World Science Publishers
13. Vuckovic A., Radivojevic V., Andrew C.N.C., and Popovic D. Automatic recognition of alertness and drowsiness from EEG by an artificial neural network an artificial neural network. Med Eng Phys 24 5 (2002) 349-360
14. Wu Y., and Du R. Feature extraction and assessment using wavelet packets for monitoring of machining processes. Mech Syst Signal Process 10 1 (1996) 29-53
15. Doppelmayr M., Klimesch W., Pachinger T., and Ripper B. Individual differences in brain dynamics: important implications for the calculation of event-related band power. Biol Cybern 79 1 (1998) 49-57
16. Unser M., and Aldroubi A. A review of wavelets in biomedical application. Proc IEEE 84 4 (1996) 626-638
17. Mallat S. A wavelet tour of signal processing. 2nd ed. (1999), Academic Press, San Diego, CA
18. Saito N., and Coifman R.R. Local discriminant bases and their applications. J Math Vis Imag 5 4 (1995) 337-358
19. Tian Y.J., and Qi Z.Q. A new support vector machine for multi-class classification. Proceedings of the fifth international conference on computer and information technology (2005)
20. Jasper H.H. The ten twenty electrode system of the International Federation. Electroenceph Clin Neurophysiol 10 (1958) 371-375
21. Mao K.Z., Tan K.C., and Ser W. Probabilistic neural-network structure determination for pattern classification. IEEE Trans Neural Networks 11 4 (2000) 1010-1017