參考文獻 |
Reference
[1] G.P. Pires, “Biosignal Classification for Human Interface with Devices and Surrounding
Environment”, Biosignal classification for human interface with devices and surrounding
environment. 2011 10316/20315
[2] P.W. Dorota, “Visual-evoked potentials in patients with brain circulatory problems”, Int J
Neurosci. 2014;(10):264–269.
[3] G. Schalk, D.J. McFarland, T. Hinterberger, T. Hinterberger, N. Birbaumer, and
Jonathan, “A general-purpose brain-computer interface (BCI) system”, IEEE Transactions on
Biomedical Engineering. 2004:51(6):1034-1043
[4] G. Hacioglu, A. Agar, G .Ozkaya, P. Yargicoglu and S. Gumuslu, “The effect of different
hypertension models on visual evoked potentials”, Int J Neurosci. 2009;(7):1321–1335.
[5] C.T. Chang, Lee, P.L and E.H. Lin, “Variable delay digital comb filter extraction of weak
phase signals for SSVEP”, Biomed Signal Proc Control. 2017;31:211–216.
[6] P.L. Lee, J.J. Sie, Y.J. Liu, C.H. Wu, M.H. Lee, C.H. Shu, P.H. Li, C.W. Sun and K.K,
“Shyu,An SSVEP-actuated brain computer interface using phase-tagged flickeringsequences:
a cursor system”, Ann Biomed. Eng. 38 (7) (2010) 2383–2397.
[7] Y.M. Chi, Y.T. Wang, C .Maier, T.P. Jung and G, “Cauwenberghs. Dry and noncontact
EEG sensors for mobile brain-computer interface”, IEEE Trans Neural Syst Rehab Eng.
2012;20(2):228–235.
[8] Y.M.M. Jahani, “A frequency domain proof for the equivalence of the maximally flat FIR
fractional delay filter and the Lagrange interpolator”, Elsevier. 2011;21(1):13–16.
[9] T.M. Vaughan, D.J. McFarland, G. Schalk, W.A. Samacki, D.J. and E. W. Krusienski,
“The wadsworth BCI research and development program: at home with BCI”, IEEE Trans
Neural Syst Rehab Eng. 2006;14 (2):229–233.
[10] Y.T. Wang, Y. Wang , C.K. Cheng and T.P. Jung, “Measuring steady-state visual evoked
potential from non-hair-bearing areas”, IEEE Eng Med Biol Soc. 2012;(4):1806–1809.
[11] R. Sitaram, A. Caria and N, “Birbaumer. Hemodynamic braincomputer interfaces for
communication and rehabilitation”, Neural Netw. 2009;22:1320–1328.
[12] D.J. Creel, “Visually evoked potentials”, The Organization of the Retina and Visual
System. Webvision; 2016. http://web vision.med.utah.edu/book/electrophysiology/visually-ev
oked-potentials/
[13] S.P. Kelly, E.C. Lalor, R.B. Reilly and J.J. Foxe, “Visual spatial attention tracking using
high density SSVEP data for independent brain-computer communication”, IEEE Trans Neural
Syst Rehab Eng. 2005;13(2):172–178.
[14] G.R. Muller-Putz and G. Pfurtscheller, “Control of an electrical prosthesis with an
SSVEP-based BCI”, IEEE Trans Biomed Eng. 2008;55(1):361–364.
[15] O. Friman, I. Volosyak and A. Graser, “Multiple channel detection of steady-state visual
evoked potentials for brain-computer interfaces”. IEEE Trans Biomed Eng. 2007;54(4):742–750.
[16] R. Ortner, B. Allison, G. Korisek, H. Gaggl and P. Gert, “An SSVEP BCI to control a
hand orthosis for persons with tetraplegia”, IEEE Trans Neural Syst Rehab Eng. 2011;19(1):1–
5.
[17] Z. Wu, “The difference of SSVEP resulted by different pulse duty-cycle”, IEEE Conf
Commun Circuits Syst. 2009; 605–607.
[18] Y.T Wang, Y. Wang, C.K. Cheng and T.P. Jung, “Measuring steady-state visual evoked
potentials from non-hair-bearing areas”, In: 34th Annual International Conference of the IEEE
EMBS; San Diego, CA. 2012.
[19] Y.T. Wang, M. Nakanishi, Y. Wang, C.K. Cheng and T.P. Jung, “An online
braincomputer interface based on SSVEPs measured from nonhair-bearing areas”, IEEE Trans
Neural Syst Rehab Eng. 2016;25(1):14–21.
[20] C.S. Wei, Y.T. Wang, C.T. Lin and T.P. Jung, “Toward non-hair-bearing brain-computer
interfaces for neurocognitive lapse detection”. IEEE Eng Med Biol Soc. 2015:25–29.
[21] C.H. Wu, P.L. Lee, Y.T. Wu, C.M. Cheng, T.C. Yeh, L.T. Ho, M.S. Chang and J.C.
Hsieh, “ICA-based analysis of movement- related modulation on beta activity of single-trial
MEG measurement using spatial and temporal templates”. J Med Biol Eng. 2003;28:155–159.
[22] C.H. Wu, P.L. Lee, C.H. Shu, M.T. Lo, C.Y. Chang and J.C. Hsieh, “Empirical mode
decomposition based approach for inter-trial analysis of olfactory event-related potential features”, Chem Percept. 2012;5(3–4):280–291.
[23] K.K. Shyu, P.L. Lee, Y.J. Liu and J.J. Sie, “Dual-frequency steady-state visual evoked
potential for brain computer interface”, Neurosci Lett. 2010;483(1):28–31.
[24] P.L. Lee, J.C. Hsieh, C.H. Wu,K.K, “Shyn and Y.T. Wu. Brain computer interface using
flash onset and offset visual evoked potentials”, Clin Neurophysiol. 2007;119:605–616.
[25] P.L. Lee, J.J. Sie, Y.J. Liu, M.H. Lee, C.H. Shu, P.H. Li, C.W. Sun and K.K. Shyn,
“An SSVEP-actuated brain computer interface using phase-tagged flickering sequences: a
cursor system”, Ann Biomed Eng. 2010;38(7):2383–2397.
[26] L. Bi, J. Lian, k. Jie, R. Lai, Y. Liu, “A speed and direction-based cursor control
systemwith P300 and SSVEP”, Biomedical Signal Processing and Control 14(2014)126–133.
[27] H.Y. Wu, P.L. Lee, H.C. Chang, J.C, “Hsieh, Accounting for phase drifts inSSVEP-based
BCIs by means of biphasic stimulation”, IEEE Trans. Biomed. Eng.58 (5) (2011) 1394–1402.
[28] J.J. Sie, [Research on phase encoding visual stimulator of steady-state visual evoked
potential]. National Central University,PhD Paper, 2014。
[29] Y.J. Liu [Research on Dual-Frequency Steady-State Visual Evoked Potentials Induce
System]. National Central University,PhD Paper, 2014。 |