Practical Designs of Brain–Computer Interfaces Based on the Modulation of EEG Rhythms

Frontiers Collection

Volumn Part F952, Issue , 2009, Pages 137-154

  Wang, Yijun ^a   Gao, Xiaorong ^a   Hong, Bo ^a   Gao, Shangkai ^a  

^a Tsinghua University   (China)

Author keywords

Brain Rhythm; Motor Imagery; Phase Synchrony Measurement; Slow Cortical Potential; Visual Evoke Potential

Indexed keywords

EID: 85165885403     PISSN: 16123018     EISSN: 21976619     Source Type: Book Series    
DOI: 10.1007/978-3-642-02091-9_8     Document Type: Chapter

References (41)

1. J.R. Wolpaw, N. Birbaumer, D.J. McFarland, G. Pfurtscheller, and T.M. Vaughan, Brain-computer interfaces for communication and control. Clin Neurophysiol, 113, 6, 767–791, (2002).
2. M.A. Lebedev and M.A.L. Nicolelis, Brain-machine interfaces: past, present and future. Trends Neurosci, 29(9), 536–546, (2006).
3. N. Birbaumer, Brain-computer-interface research: Coming of age. Clin Neurophysiol, 117(3), 479–483, (2006).
4. G. Pfurtscheller and C. Neuper, Motor imagery and direct brain-computer communication. Proc IEEE, 89(7), 1123–1134, (2001).
5. T. Kluge and M. Hartmann, Phase coherent detection of steady-state evoked potentials: experimental results and application to brain-computer interfaces. Proceedings of 3rd International IEEE EMBS Neural Engineering Conference, Kohala Coast, Hawaii, USA, pp. 425–429, 2–5 May, (2007).
6. S. Makeig, M. Westerfield, T.P. Jung, S. Enghoff, J. Townsend, E. Courchesne, and T.J. Sejnowski, Dynamic brain sources of visual evoked responses. Science, 295(5555), 690–694, (2002).
7. E. Niedermeyer and F.H. Lopes da Silva, Electroencephalography: Basic principles, clinical applications and related fields, Williams and Wilkins, Baltimore, MD, (1999).
8. Y. Wang, X. Gao, B. Hong, C. Jia, and S. Gao, Brain-computer interfaces based on visual evoked potentials: Feasibility of practical system designs. IEEE EMB Mag, 27(5), 64–71, (2008).
9. A.C. MettingVanRijn, A.P. Kuiper, T.E. Dankers, and C.A. Grimbergen, Low-cost active electrode improves the resolution in biopotential recordings. Proceedings of 18th International IEEE EMBS Conference, Amsterdam, Netherlands, pp. 101–102, 31 Oct–3 Nov, (1996).
10. J.R. Wolpaw and D.J. McFarland, Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Proc Natl Acad Sci USA, 101(51), 17849–17854, (2004).
11. B. Blankertz, K.R. Muller, D.J. Krusienski, G. Schalk, J.R. Wolpaw, A. Schlogl, G. Pfurtscheller, J.D.R. Millan, M. Schroder, and N. Birbaumer, The BCI competition III: Validating alternative approaches to actual BCI problems. IEEE Trans Neural Syst Rehab Eng, 14(2), 153–159, (2006).
12. G. Pfurtscheller and F.H. Lopes da Silva, Event-related EEG/MEG synchronization and desynchronization: basic principles., Clin Neurophysiol, 110(11), 1842–1857, (1999).
13. D.J. McFarland, C.W. Anderson, K.R. Muller, A. Schlogl, and D.J. Krusienski, BCI Meeting 2005 – Workshop on BCI signal processing: Feature extraction and translation. IEEE Trans Neural Syst Rehab Eng, 14(2), 135–138, (2006).
14. J.J. Vidal, Real-time detection of brain events in EEG. Proc. IEEE, 65(5), 633–641, (1977).
15. E.E. Sutter, The brain response interface: communication through visually-induced electrical brain response. J Microcomput Appl, 15(1), 31–45, (1992).
16. 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), 211–214, (2000).
17. M. Cheng, X.R. Gao, S.G. Gao, and D.F. Xu, Design and implementation of a brain-computer interface with high transfer rates. IEEE Trans Biomed Eng, 49(10), 1181–1186, (2002).
18. X. Gao, D. Xu, M. Cheng, and S. Gao, A BCI-based environmental controller for the motion-disabled. IEEE Trans Neural Syst Rehabil Eng, 11(2), 137–140, (2003).
19. B. Allison, D. McFarland, G. Schalk, S. Zheng, M. Jackson, and J. Wolpaw, Towards an independent brain–computer interface using steady state visual evoked potentials. Clin Neurophysiol, 119(2), 399–408, (2007).
20. F. Guo, B. Hong, X. Gao, and S. Gao, A brain–computer interface using motion-onset visual evoked potential. J Neural Eng, 5(4), 477–485, (2008).
21. Y. Wang, R. Wang, X. Gao, B. Hong, and S. Gao, A practical VEP-based brain-computer interface. IEEE Trans Neural Syst Rehabil Eng, 14(2), 234–239, (2006).
22. Y. Wang, R. Wang, X. Gao, and S. Gao, Brain-computer interface based on the high frequency steady-state visual evoked potential. Proceedings of 1st International NIC Conference, Wuhan, China, pp. 37–39, 26–28 May, (2005).
23. G.R. Müller-Putz, R. Scherer, C. Brauneis, and C. Pfurtscheller, Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components. J Neural Eng, 2(4), 123–130, (2005).
24. J.P. Lachaux, E. Rodriguez, J. Martinerie, and F.J. Varela, Measuring phase synchrony in brain signals. Hum Brain Mapp, 8(4), 194–208, (1999).
25. E. Gysels and P. Celka, Phase synchronization for the recognition of mental tasks in a brain-computer interface. IEEE Trans Neural Syst Rehabil Eng, 12(4), 406–415, (2004).
26. Y. Wang, B. Hong, X. Gao, and S. Gao, Phase synchrony measurement in motor cortex for classifying single-trial EEG during motor imagery. Proceedings of 28th International IEEE EMBS Conference, New York, USA, pp. 75–78, 30 Aug–3 Sept, (2006).
27. Y. Wang, B. Hong, X. Gao, and S. Gao, Implementation of a brain-computer interface based on three states of motor imagery. Proceedings of 29th International IEEE EMBS Conference, Lyon, France, pp. 5059–5062, 23–26 Aug, (2007).
28. M.F. Bear, B.W. Connors, and M.A. Paradiso, Neuroscience: exploring the brain, Lippincott Williams and Wilkins, Baltimore, MD, (2001).
29. Y. Wang, B. Hong, X. Gao, and S. Gao, Design of electrode layout for motor imagery based brain-computer interface. Electron Lett, 43(10), 557–558, (2007).
30. B. Lou, B. Hong, X. Gao, and S. Gao, Bipolar electrode selection for a motor imagery based brain-computer interface. J Neural Eng, 5(3), 342–349, (2008).
31. S.G. Mason, A. Bashashati, M. Fatourechi, K.F. Navarro, and G.E. Birch, A comprehensive survey of brain interface technology designs. Ann Biomed Eng, 35(2), 137–169, (2007).
32. C. Jia, H. Xu, B. Hong, X. Gao, and S. Gao, A human computer interface using SSVEP-based BCI technology. Lect Notes Comput Sci, 4565, 113–119, (2007).
33. E. Buch, C. Weber, L.G. Cohen, C. Braun, M.A. Dimyan, T. Ard, J. Mellinger, A. Caria, S. Soekadar, A, Fourkas, and N. Birbaumer, Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic stroke. Stroke, 39(3), 910–917, (2008).
34. A. Kubler, V.K. Mushahwar, L.R. Hochberg, and J.P. Donoghue, BCI Meeting 2005 – Workshop on clinical issues and applications. IEEE Trans Neural Syst Rehabil Eng, 14(2), 131–134, (2006).
35. S. de Vries and T. Mulder, Motor imagery and stroke rehabilitation: A critical discussion. J Rehabil Med, 39(1), 5–13, (2007).
36. D. Ertelt, S. Small, A. Solodkin, C. Dettmers, A. McNamara, F. Binkofski, and G. Buccino, Action observation has a positive impact on rehabilitation of motor deficits after stroke. NeuroImage, 36(suppl 2), T164–T173, (2007).
37. M. Iacoboni and J.C. Mazziotta, Mirror neuron system: Basic findings and clinical applications. Ann Neurol, 62(3), 213–218, (2007).
38. J.A. Pineda, D.S. Silverman, A. Vankov, and J. Hestenes, Learning to control brain rhythms: making a brain-computer interface possible. IEEE Trans Neural Syst Rehabil Eng, 11(2), 181–184, (2003).
39. E.C. Lalor, S.P. Kelly, C. Finucane, R. Burke, R. Smith, R.B. Reilly, and G. McDarby, Steady-state VEP-based brain-computer interface control in an immersive 3D gaming environment. EURASIP J Appl Signal Process, 19, 3156–3164, (2005).
40. Emotiv headset (2010). Emotiv – brain computer interface technology. Website of Emotiv Systems Inc., http://www.emotiv.com. Accessed 14 Sep 2010.
41. NeuroSky mindset (2010). Website of Neurosky Inc., http://www.neurosky.com. Accessed 14 Sep 2010.