參考文獻
[1] L. Farwell, E. donchin,“Taking off the top of your head: Toward a mental prosthesis utilizing event-related brain potentials,”Electroenceph. Clin. Neurophysiol., vol. 70, pp. 510-523, 1981.
[2] A. Hiraiwa, K. Shimohara, Y. Tokunaga,“EEG topography recognition by neural network,”Eng. Med. Biol., pp. 39-42, 1990.
[3] N. Birbaumer, L. E. Roberts, W. Lutzenberger, B. Rockstroh, T. Elbert,“Area-specific self-regulation of slow cortical potentials on the sagittal midline and its effects on behavior,”Electroenceph. Clin. Neurophysiol., vol. 84, pp. 351-361, 1992.
[4] B. Kotchoubey, H. Schleichert, W. Lutzenberger, N. Birbaumer,“A new method for self-regulation of slow cortical potentials in a timed paradigm,”Appl. Psychophysiol. Biofeedback, vol. 22, pp. 77-93, 1991.
[5] Z. A. Keirn, J. I. Aunon,“Man-machine communication through brain-wave processing,”IEEE Eng. Med. Biol., vol. 3, pp. 55-57, 1990.
[6] E. Sutter,“The brain response interface: Communication through visually-induced electrical brain response,”J. Microcomput. Appl., vol. 15, pp. 31-45, 1992.
[7] J. R. Wolpaw, D. J. McFarland, G. W. Neat, C. Forneris,“An EEG-based brain-computer interface for cursor control,”Electroenceph. Clin. Neurophysiol., vol. 78, pp. 252-259, 1991.
[8] J. R. Wolpaw, D. J. McFarland,“Multichannel EEG-based brain-computer communication,”Electroenceph. Clin. Neurophysiol., vol. 90, pp. 444-449, 1994.
[9] G. Pfurtscheller, D. Flotzinger, W. Mohl, and M. Peltoranta,“Prediction of the side of hand movements from single-trial multi-channel EEG data using neural networks,” Electroenceph. Clin. Neurophysiol., vol. 82, pp. 313-315, 1992.
[10] G. Pfurtscheller, M. Pregenzer, C. Neuper,“Visualization of sensorimotor of mu and central beta rhythms in single EEG trials in man,”Neurosci. Lett., vol. 181, pp. 43-46, 1994.
[11] G. Pfurtscheller, J. Kalcher, C. Neuper, D. Flotzinger, M. Pregenzer,“On-line EEG classification during externally-paced hand movements using a neural network-based classifier,”Electroencephal. Clin. Neurophysiol., vol. 99, 416-425, 1996.
[12] G. Pfurtscheller, A. Aranibar,“Evaluation of event-related desynchronization(ERD)preceding and following voluntary self-paced movement,”Electroenceph. Clin. Neurophysiol., vol. 46, pp. 138-146. 1979.
[13] G. Pfurtscheller, A. Berghold,“Pattern of cortical activation during planning of voluntary movement,”Electroenceph. Clin. Neurophysiol., vol. 72, pp. 250-258. 1989.
[14] D. Flotzinger, G. Pfurtscheller, C. Neuper, J. Berger, W. Mohl,“Classification of nonaveraged EEG data by learning vector quantization and the influence of single preprocessing,”Med. Biol. Eng. Comput., vol. 32, pp. 571-576, 1994.
[15] M. Pregenzer, G. Pfurtscheller, D. Flotzinger,“Automated feature selection with a distinction sensitive learning vector quantizer,”Neurocomputing, vol. 11, pp. 19-29, 1996.
[16] J. Kalcher, D. Flotzinger, C. Neuper, S. Golly, G. Pfurtscheller,“Graz brain-computer interface Ⅱ--Toward communication between humans and computer based on online classification of three different EEG patterns,”Med. Biol. Eng. Comput., vol. 34, pp. 382-388, 1996.
[17] G. Pfurtscheller, C. Neuper, A. Schlogl, and K. Lugger,“Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters,”IEEE Trans. Rehab. Eng., vol. 6, pp. 316-325, 1998.
[18] E. Donchin, K. V. Spencer, R. Wijesinghe,“the mental prosthesis:Assessing the speed of a P300-based brain-computer interface,”IEEE Trans. Rehab. Eng., vol. 8, no. 2, pp. 174-179, 2000.
[19] M. Middendorf, G. McMillan, G. Calhoun, S. K. Jones,“Brain-computer interfaces based on the steady-state visual-evoked response,”IEEE Trans. Rehab. Eng., vol. 8, no. 2, pp. 211-214, 2000.
[20] G. Pfurtscheller, C. Neuper, D. Flotzinger, M. Pregenzer,“EEG-based discrimination between imagination of right and left hand movement,” Electroencephalogr. Clin. Neurophysiol., vol. 103. pp.642-651, 1997.
[21] M. Pregenzer, DSLVQ. Aachen, Germany: Schaker Verlag, 1998.
[22] M. Pregenzer, D. Flotzinger, G. Pfurtscheller,“Distinction sensitive learning vector quantization – A noise insensitive classification method,”in Proc. IEEE Int. Conf. Neural Networks ICNN'94, Orlando, FL; Piscataway, NY: IEEE Service Center, pp. 2890-2894, 1994.
[23] T. Kohonen,“ The self-organizing map,”Proc. IEEE, vol. 78, pp. 1464-1480, 1990.
[24] T. Kohonen, Self Organizing Maps. Heidelberg, Germany: Springer, 1995.
[25] D. Flotzinger, J. Kalcher, G. Pfurtscheller,“EEG classification by Learning Vector Quantization,”Biomed. Technik. 37. pp. 303-309, 1992.
[26] G. Pfurtscheller, F. H. Lopes da Silva,“Event-related EEG/MEG synchronization and desynchronization: basic principles,”Clin. Neurophysiol., vol. 110. pp. 1842-1857, 1999.
[27] G. Pfurtscheller, C. Neuper, C. Guger, W. Harkam, H. Ramoser, A. Schlogl, B. Obermaier, M. Pregenzer,“Current Trends in Graz Brain-Computer Interface(BCI)Research”IEEE Trans. Rehab. Eng., vol. 8, pp. 216-219, 2000.
[28] G. Pfurtscheller,“Functional brain imaging based on ERD/ERS”Vision Research 41. pp. 1257-1260, 2001.
[29] C. Guger, G. Edlinger, W. Harkam, I. Niedermayer, G. Pfurtscheller,“How Many People are Able to Operate an EEG-Based Brain-Computer Interface(BCI)?” IEEE Trans. Rehab. Eng., vol. 11, pp. 145-147, 2003.
[30] C. M. Bishop, Neural Networks for Pattern Recognition. Oxford, U.K.: Clarendon, 1995.
[31] G. Pfurtscheller, C. Neuper,“Motor Imagery and Direct Brain-Computer Communication,” Proc. IEEE, vol. 89, pp. 1123-1134, 2001.
[32] C. Guger, A. Schlogl, C. Neuper, D. Walterspacher, T. Strein, G. Pfurtscheller, “Rapid prototyping of an EEG-based brain-computer interface(BCI),”IEEE Trans. Rehab. Engng., vol. 9, pp. 49-58, 2001.
[33] J. Kalcher, G. Pfurtscheller,“Discrimination between phase-locked and non-phase -locked event-related EEG activity,”Electroenceph. Clin. Neurophysiol., vol. 94, pp. 381-384, 1995.
[34] M. Pregenzer, G. Pfurtscheller,“Frequency Component Selection for an EEG-based Brain to Computer Interface,”IEEE Trans. Rehab. Engng., vol. 7, pp. 413-419, 1999.
[35] N. Birbaumer, A. kubler,“The thought translation device(TTD)for completely paralyzed patients,”IEEE Trans. Rehab. Eng., vol. 8, pp. 190-193, 2000.
[36] 陳志瑋,“研究以小波神經網路作μ波即時鑑別”國立成功大學機械研究所碩士論文, 2002.