An EEG Application Platform’s Design and Development

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An realization of EEG application platform is displayed in this article. EEG signals are gathered and processed by Head-mounted device to obtain control use parameters, which is to be transmitted to the PC platform or the single-chip control system through Bluetooth. The software on the PC platform could make use of the control use parameters, while the single control system could output instructions to control the connected hardware, according to the computation results of the parameters.

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1601-1607

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhao Qibin, Spatio-temporal Feature Analysis of EEG and Application in BCI, (2008).

Google Scholar

[2] Touradj Ebrahimi, Jean-Mare Vesin, Gayr Gareia , Brain-ComPuter Interafce in Multimedia Communieation, IEEE Signal Proeessing , 2003, 1: 14-24.

Google Scholar

[3] G. Pfurtscheller, C. Guger, G. Müller, G. Krausz, and C. Neuper, Brain oscillations control hand orthosis in a tetraplegic, Neurosci. Lett. vol. 292, pp.211-214, (2000).

DOI: 10.1016/s0304-3940(00)01471-3

Google Scholar

[4] D. M. Taylor, S. I. H. Tillery, & A. B. Schwartz, Direct Cortical Control of 3D Neuroprosthetic Devices, Science, vol. 296(5574), 2002, pp.1829-1832.

DOI: 10.1126/science.1070291

Google Scholar

[5] E. Margalit, J. D. Weiland, R. E. Clatterbuck, G. Y. Fujii, M. Maia, and M. Tameesh, Visual and electrical evoked response recorded from subdural electrodes implanted above the visual cortex in normal dogs under two methods of anesthesia, Journal of Neuroscience Methods, vol. 123(2), 2003, pp.129-137.

DOI: 10.1016/s0165-0270(02)00345-x

Google Scholar

[6] F. Wallois, A. Patil, C. Héberlé, and R. Grebe, EEG-NIRS in epilepsy in children and neonates, Neurophysiologie Clinique/Clinical Neurophysiology, vol. 40(5-6), 2010, pp.281-292.

DOI: 10.1016/j.neucli.2010.08.004

Google Scholar

[7] R. A. Andersen, S. Musallam, B. Pesaran, Selecting the signals for a brain-machine interface, Current Opinion in Neurobiology, vol. 14(6), 2004, pp.720-726.

DOI: 10.1016/j.conb.2004.10.005

Google Scholar

[8] E. C. Leuthardt, G. Schalk, J. R. Wolpaw, J. G. Ojemann, D. W. Moran, A brain-computer interface using electrocorticographic signals in humans, Journal of Neural Engineering, vol. 1(2), 2004, pp.63-71.

DOI: 10.1088/1741-2560/1/2/001

Google Scholar

[9] M. V. Gerven, J. Farquhar, R. Schaefer, R. Vlek, J. Geuze, A. Nijholt, N. Ramsey, P. Haselager, L. Vuurpijl, S. Gielen, and P. Desain, The brain-computer interface cycle, Journal of Neural Engineering, vol. 6(4), 2009, pp.041001-041010.

DOI: 10.1088/1741-2560/6/4/041001

Google Scholar

[10] Popescu F, Fazli S, Badower Y, et al. Single trial classification of motor imagination using 6 dry EEG electrodes[J]. PloS one, 2007, 2(7): e637.

DOI: 10.1371/journal.pone.0000637

Google Scholar

[11] Wei bin, Jia cunliang: The Designs of EEG Signals Pre-processing Cuicuits, (2007).

Google Scholar

[12] Wang Y Z, Liang G H, Zhang J, Machinery Arm System Controlled by EEG, Advanced Materials Research, vol. 889, 2014, pp.987-993.

DOI: 10.4028/www.scientific.net/amr.889-890.987

Google Scholar

[13] Information on http: /developer. neurosky. com.

Google Scholar

[14] Carlos de M. Cordeiro, Sachin Abhyankar, Rishi Toshiwal and Dharma P. Agrawal, BlueStar: Enabling Efficient Integration Between Bluetooth WPANs and IEEE 802. 11 WLANs, Mobile Networks and Applications, Springer, 2004-4.

DOI: 10.1023/b:mone.0000031607.96260.64

Google Scholar

[15] Qing Zhi Du, Yi Peng, Xiu Mei Yang and Qiu Ping Yang, The Research of CR's Application for Bluetooth Network, Advanced Materials Research, vol. 658, 2013, pp.574-577.

DOI: 10.4028/www.scientific.net/amr.658.574

Google Scholar