On classifiability of wavelet features for EEG-based brain-computer interfaces

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 2895-2902

  Sherwood, Jesse ^a   Derakhshani, Reza ^b  

^a Laboratory of the Electrical   (United States)

^b UMKC   (United States)

Author keywords

Affective tasks; Brain computer interface; Cognitive tasks; Electroencephalograph; Imagined motor tasks; Support vector machines; Wavelet decomposition; Wavelet packets

Indexed keywords

AFFECTIVE TASKS; BRAIN-COMPUTER INTERFACE; COGNITIVE TASKS; ELECTROENCEPHALOGRAPH; IMAGINED MOTOR TASKS; WAVELET PACKETS;

CLASSIFIERS; COMPUTATIONAL METHODS; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; GEARS; MOTORS; MULTILAYER NEURAL NETWORKS; OPTICAL SENSORS; SUPPORT VECTOR MACHINES; WAVELET DECOMPOSITION;

INTERFACES (COMPUTER);

EID: 70449434699     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178939     Document Type: Conference Paper

References (45)

1. Z. A. Keirn and J. I. Aunon, "A New Mode of Communication Between Man and His Surroundings, " IEEE Transactions on Biomedical Engineering, vol. 37, no. 12, pp. 1209-1214, Dec. 1990.
2. S. G. Mason, A. Bashashati, M. Fatourechi, K. F. Navarro, and G. E. Birch, "A Comprehensive Survey of Brain Interface Technology Designs, " Annals of Biomedical Engineering, vol. 35, no. 2, pp. 137-169, Feb. 2007.
3. F. Lotte, M. Congedo, A. Lecuyer, F. Lamarche, and B. Arnaldi, "A review of classification algorithms for EEG-based brain-computer interfaces, " Journal of Neural Engineering, no. 4, pp. R1-R13, Oct. 2007.
4. S. Sanei and J. A. Chambers, EEG Signal Processing. Hoboken NJ, USA, John Wiley and Sons, 2007.
5. D. J. Serrien, R. B. Ivry, and S. P. Swinnen, "Dynamics of hemispheric specialization and integration in the context of motor control, " Nature, vol. 7, pp. 160-167, Feb. 2006.
6. B. Blankertz, G. Dornhenge, M. Krauldelat, K.-R. Muller, and G. Curio, "The non-invasive Berlin Brain-Computer Interface: Fast Acquisition of effective performance in untrained subjects, " Neurolmage, no. 37, pp. 539-550, 2007.
7. J. Nolte, The Human Brain An Introduction to Its Functional Anatomy, 5th ed. St. Louis, MO, USA, Mosby, Inc., 2002.
8. E. A. Curran and M. J. Stokes, "Learning to control brain activity: A review of the production and control of EEG components for driving brain-computer interface (BCI) systems, " Brain and Cognition, no. 51, pp. 326-336, 2003.
9. L. Sornmo and P. Laguna, Bioelectrical Signal Processing in Cardiac and Neurological Applications. Burlington MA, USA, Elsevier Academic Press, 2005.
10. X. Yong, R. Ward, and G. E. Birch, "Facial EMG Contamination of EEG Signals: Characteristics and Effects of Spatial Filtering, " in ISCCSP 2008, Malta, 2008, pp. 729-734.
11. G. Strang and T. Nguyen, Wavelets and Filter Banks, 2nd ed. Wellesley MA, USA, Wellesley Cambridge Press, 1997.
12. Mathworks, Inc. (2008a, Nov.). Neural Networks Toolbox Users Guide v6.0 [Online]. Available: http://www.mathworks.com/access/helpdesk/help/toolbox/nnet/
13. S. Mallat, A Wavelet Tour of Signal Processing, 2nd ed. San Diego, USA, Academic Press, 2001.
14. O. Rioul and M. Vitterli, "Wavelets and Signal Processing, " IEEE Signal Processing Magazine, pp. 14-38, Oct. 1991.
15. T. K. Sarkar, et al., "A Tutorial on Wavelets from an Electrical Engineering Perspective, Part 1: Discrete Wavelet Techniques, " IEEE Antennas and Propagation Magazine, vol. 40, no. 5, pp. 49-70, Oct. 1998.
16. D. F. Mix and K. J. Olejniczak, Elements of Wavelet for Engineers and Scientists. Hoboken NJ, USA, Wiley-Interscience, 2003.
17. M. Vetterli and C. Herley, "Wavelets and Filter Banks: Theory and Design, " IEEE Transactions on Signal Processing, vol. 40, no. 9, pp. 2207-2231, Sep. 1992.
18. W. Ting, Y. Guo-zheng, Y. Bang-hua, and S. Hong, "EEG feature extraction base on wavelet packet decomposition for brain computer interface, " Measurement, vol. 41, pp. 618-625, Aug. 2008.
19. C. M. Bishop, Pattern Recognition and Machine Learning. Cambridge, , U. K., Springer Science, 2006.
20. X. Song-yun, P.-W. Wang, H.-J. Zhang, and H.-T. Zhao, "Research on the Classification of Brain Function Based on SVM, " in 2nd International Conference on Bioinformatics and Biomedical Engineering, Shanghai, China, 2008, pp. 1931-1934.
21. K.-R. Muller, C. W. Anderson, and G. E. Birch, "Linear and Non-linear Methods for Brain-Computer Interfaces, " IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 165-169, Jun. 2003.
22. T. N. Lal, et al., "Support Vector Channel Selection in BCI, " IEEE Transactions on Biomedical Engineering, vol. 51, no. 6, pp. 1003-1010, Jun. 2004.
23. A. J. Rowan and E. Tolunsky, A Primer of EEG, ISBN: 978-0-7506-7476-8 ed. Philadelphia, PA, USA, Elseiver, 2003.
24. Electro-Cap International, Inc., Instruction Manual for the ECI Electro-Cap Electrode System. Eaton, OH, USA.
25. General Devices, User's Manual for the General Devices Multi-Lead Model EIM-107 Prep-Check Plus Electrode Impedance Meter. 2002.
26. Nolan Computing Systems, LLC, MIndset24 Software Reference Manual. 2003.
27. NeuroPulse-Systems, NPS Hardware and Reference Manual. Ft. Morgan, CO, USA.
28. G. Pfurtscheller, C. Neuper, D. Flotzinger, and M. Pregenzer, "EEG-based discrimination between imagination of right and left hand movement, " Electroencephalography and clinical Neurophysiology, no. 103, pp. 642-651, 1997.
29. J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, and T. M. Vaughan, "Brain-computer interfaces for communication and control, " Cinical Neurophysiology, vol. 113, pp. 767-791, Mar. 2002.
30. P. Doynov, J. Sherwood, and R. Derakhshani, "Classification of Imagined Motor Tasks, " in IEEE Region 5 Conference, Kansas City, 2008, pp. 1-6.
31. G. Pfurtscheller, D. Flotzinger, and C. Neuper, "Differentiation between finger, toe and tongue movement in man based on 40 Hz EEG, " Electroencephalography and Clinical Neuroscience, vol. 90, pp. 456-460, 1994.
32. M. S. Kim and H. D. Seo, "System for a cognitive Analysis of EEG based on neural networks, " in SICE Annual Conference, Fukui, Japan, 2003, pp. 66-69.
33. K. Tavakolian, A. R. Nasrabadi, and S. Rezaei, "Selecting Better EEG Channels for Classification of Mental Tasks, " in Proceedings of the 2004 International Symposium on Circuits and Systems,, Vancouver, BC, Canada, 2004, pp. 537-540.
34. D. O. Bos. (2006). EEG-based Emotion Recognition [Online]. Available: http://emi.uwi.utwente.nl/verslagen/capita-selecta/CS-oude Bos-Danny.pdf
35. T. E. Doyle, Z. Kucerovsky, and A. Ieta, "Affective State Control for Neuroprostheses, " in Proceedings of the 28th IEEE EMBS Annual International Conference, New York City, USA, 2006, pp. 1248-1251.
36. G. Dornhenge, "Increasing Information Transfer Rates for Brain-Computer Interfacing, " University of Potsdam, Potsdam, Germany, March 2006.
37. B. Blankertz, R. Tomioka, S. Lemm, M. Kawanabe, and K.-R. Muller, "Optimizing Spatial Filters for Robust EEG Single-Trial Analysis, " IEEE Signal Processing Magazine, vol. 25, no. 1, pp. 41-56, Jan. 2008.
38. P. Achuff (2001). The Lateralization of Emotion [Online]. Available: http://www.cerebromente.org.br/nl4/mente/lateralization. htm
39. B. Wang, et al., "EEG Recognition Based on Multiple Types of Information Using Wavelet Packet Transform and Neural Networks, " in Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China, 2005, pp. 5377-5380.
40. E. Alpaydin, Introduction to Machine Learning. Cambridge, MA USA, The MIT Press, 2004.
41. J. C. Principe, N. R. Euliano, and W. C. Lefebvre, Neural and Adaptive Systems: Fundamentals through Simulations. New York, NY, John Wiley & Sons, Inc., 2000.
42. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. Hoboken NJ, USA, John Wiley and Sons, 2007.
43. C. J. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition, " Data Mining and Knowledge Discovery, vol. 2, pp. 121-167, 1998.
44. B. Blankertz, et al., "The Berlin Brain-Computer Interface: Accurate Performance from first session in BCI naive subjects, " IEEE Transactions on Biomedical Engineering, vol. 55, no. 10, pp. 2452-2462, Oct. 2008.
45. S. Haykin, Neural Networks: A Comprehensive Foundation. Upper Saddle River, NJ, USA, Prentice Hall, 1999.