脑机交互系统的研究与实现任务书

 2021-10-06 12:10

1. 毕业设计(论文)的内容和要求

内容 随着电子、信息技术的发展,脑机交互技术也获得了较快发展。

脑机交互是在人或动物脑(或者脑细胞的培养物)与外部设备间建立的直接连接通路,包括单向脑机接口和双向脑机接口。

单向脑机接口计算机或者接受脑传来的命令,或者发送信号到脑(例如视频重建),但不能同时发送和接收信号。

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2. 参考文献

1. D.C. Dennett, Consciousness explained, Back Bay Books, Lippincott Williams 791,(2002).3. J.P. Donoghue, Connecting cortex to machines: recent advances in brain interfaces. NatNeurosci. 5 (Suppl), Nov., 10851088, (2002).4. S.P. Levine, J.E. Huggins, S.L. BeMent, R.K. Kushwaha, L.A. Schuh, E.A. Passaro, M.M. Rohde, and D.A. Ross, Identification of electrocorticogram patterns as the basis for a direct brain interface, J Clin Neurophysiol. 16, Sep., 439447, (1999).5. A.B. Schwartz, Cortical neural prosthetics. Annu Rev Neurosci, 27, 487507, (2004). 6. E. Niedermeyer and F.L.D. Silva, Electroencephalography: Basic principles, clinical applications, and related fields, Lippincott Williams Wilkins, (2004). 7. J.R. Wolpaw, G.E. Loeb, B.Z. Allison, E. Donchin, O.F. do Nascimento, W.J. Heetderks, F. Nijboer,W.G. Shain, and J.N. Turner, BCI Meeting 2005 workshop on signals and recording methods, IEEE Trans Neural Syst Rehabil Eng: A Pub IEEE Eng Med Biol Soc. 14, Jun.,138141, (2006).8. G. Bauernfeind, R. Leeb, S.C. Wriessnegger, and G. Pfurtscheller, Development, set-up and first results for a one-channel near-infrared spectroscopy system. Biomedizinische Technik. Biomed Eng. 53, 3643, (2008).9. G. Dornhege, J.D.R. Millan, T. Hinterberger, D.J. McFarland, K. Mller, and T.J. Sejnowski, Toward Brain-Computer Interfacing, The MIT Press, Cambridge, MA, (2007).10. B.Z. Allison, D.J. McFarland, G. Schalk, S.D. Zheng, M.M. Jackson, and J.R. Wolpaw, Towards an independent brain-computer interface using steady state visual evoked potentials. Clin Neurophysiol, 119, Feb., 399408, (2008).11. C. Guger, S. Daban, E. Sellers, C. Holzner, G. Krausz, R. Carabalona, F. Gramatica, and G. Edlinger, How many people are able to control a P300-based brain-computer interface (BCI)? Neurosci Lett, 462, Oct., 9498, (2009).12. G. Pfurtscheller, G. Mller-Putz, B. Graimann, R. Scherer, R. Leeb, C. Brunner, C. Keinrath, G. Townsend, M. Naeem, F. Lee, D. Zimmermann, and E. Hfler, Graz-Brain-Computer Interface: State of Research. In R. Dornhege (Eds.), Toward brain-computer interfacing, MIT Press, Cambridge, MA, pp. 65102, (2007).13. D.S. Klobassa, T.M. Vaughan, P. Brunner, N.E. Schwartz, J.R. Wolpaw, C. Neuper, and E.W. Sellers, Toward a high-throughput auditory P300-based brain-computer interface. ClinNeurophysiol, 120, Jul., 12521261, (2009).14. G.R. Mller-Putz, R. Scherer, C. Neuper, and G. Pfurtscheller, Steady-state somatosensory evoked potentials: suitable brain signals for brain-computer interfaces? IEEE Trans Neural Syst Rehabil Eng, 14, Mar., 3037, (2006).15. L. Citi, R. Poli, C. Cinel, and F. Sepulveda, P300-based BCI mouse with genetically-optimized analogue control. IEEE Trans Neural Syst Rehabil Eng, 16, Feb., 5161, (2008).16. C.J. Bell, P. Shenoy, R. Chalodhorn, and R.P.N. Rao, Control of a humanoid robot by a noninvasive brain-computer interface in humans. J Neural Eng, 5, Jun., 214220, (2008).17. B. Allison, T. Luth, D. Valbuena, A. Teymourian, I. Volosyak, and A. Graeser, BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI? IEEE Trans Neural Syst Rehabil Eng: A Pub IEEE Eng Med Biol Soc, 18(2), Jan., 107116, (2010).18. S.P. Kelly, E.C. Lalor, R.B. Reilly, and J.J. Foxe, Visual spatial attention tracking using highdensity SSVEP data for independent brain-computer communication. IEEE Trans Neural Syst Rehabil Eng, 13, Jun., 172178, (2005).

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