Design of Software Platform for Online BCI System

Ai Qin Sun; Bing Hui Fan; Chao Chuan Jia

doi:10.4028/www.scientific.net/AMR.490-495.301

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Design of Software Platform for Online BCI System

Design of Software Platform for Online BCI System

Abstract:

In the paper a software platform is developed for online BCI system based on motor imagery. The programming for multiple monitors is applied to display the notice information of performing imaginary movement. The hybrid programming of using Matlab engine under VC++ is implemented to make full use of the function of signal processing and pattern recognition of Matlab. Both offline EEG acquisition and analysis and online test can be realized with the software platform. And it has high universality and friendly interface.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

301-304

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.301

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Online since:

March 2012

Authors:

Ai Qin Sun, Bing Hui Fan, Chao Chuan Jia

Keywords:

Brain Computer Interface (BCI), Mixed-Programming, Multi-Screen Display, Software Platform, VC++

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References

[1] Wolpaw J.R., Birbaumer N., McFarland WJ. Brain-computer interface technology: A review of the first international meeting. IEEE Transactions on Rehabilitation Engineering, Vol. 8 (2000), No.2, pp.164-173

DOI: 10.1109/tre.2000.847807

Google Scholar

[2] Shangkai Gao. Comments on recent progress and challenges in the study of brain-computer interface. Chinese Journal of Biomedical Engineering, Vol. 26 (2007), No.6, pp.801-803

Google Scholar

[3] Kayikcioglu, Temel, Aydemir, Onder. A polynomial fitting and k-NN based approach for improving classification of motor imagery BCI data. Pattern Recognition Letter, Vol. 31 (2010), No.11, pp.1207-1215

DOI: 10.1016/j.patrec.2010.04.009

Google Scholar

[4] Ling Yuan, Banghua Yang, Shiwei Ma. Discrimination of movement imagery EEG based on HHT ans SVM. Chinese Journal of Scientific Instrument,Vol. 31 (2010), No.3, pp.649-654

Google Scholar

[5] Gang Lin, Feng Zhang, Dengfu Zhang. The technique of multi-monitor and its application in image processing system application. Research of Computers, No.4 (2002), pp.154-155

Google Scholar

[6] Wentao Liu, Wenai Song. Research and realization on hybrid programmin of VC++ and Matlab. Microcomputer Information, Vol. 24 (2008), No.3, pp.257-258, 311

Google Scholar