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Stimuli design for SSVEP-based brain computer-interface

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents a process of stimuli design for SSVEP-based brain computer-interface. A brain computerinterface can be used in direct communication between a brain and a computer, without using muscles. This device is useful for paralyzed people to communicate with the surrounding environment. Design process should provide high accuracy recognition of presented stimuli and high user comfort. It is widely known how to make stimuli for BCI which are using high-grade EEG. Over recent years cheaper EEGs are becoming more and more popular, for example OpenBCI, which uses ADS1299 amplifier. In this article we review past works of other authors and compare it with our results, obtained using EEG mentioned before. We try to confirm that it is possible to use successfully OpenBCI in BCI projects.
Słowa kluczowe
EN
EEG   OpenBCI   SSVEP   BCI  
Twórcy
autor
  • Division of Metrology and Optoelectronic, Institute of Electrical Engineering and Electronics, Poznan University of Technology, Poznan
  • Division of Metrology and Optoelectronic, Institute of Electrical Engineering and Electronics, Poznan University of Technology, Poznan
Bibliografia
  • [1] H. Bakardjian, T. Tanaka, and A. Cichocki, “Optimization of ssvep brain responses with application to eight-command brain-computer interface,” Neuroscience letters, vol. 469, no. 1, pp. 34–38, 2010.
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  • [3] Z. Lin, C. Zhang, W. Wu, and X. Gao, “Frequency recognition based on canonical correlation analysis for ssvep-based bcis,” Biomedical Engineering, IEEE Transactions on, vol. 53, no. 12, pp. 2610–2614, 2006.
  • [4] M. A. Pastor, J. Artieda, J. Arbizu, M. Valencia, and J. C. Masdeu, “Human cerebral activation during steady-state visual-evoked responses,” The journal of neuroscience, vol. 23, no. 37, pp. 11 621–11 627, 2003.
  • [5] D. Regan, “Human brain electrophysiology: evoked potentials and evoked magnetic fields in science and medicine,” 1989.
  • [6] Y. Wang, R. Wang, X. Gao, B. Hong, and S. Gao, “A practical vepbased brain-computer interface,” Neural Systems and Rehabilitation Engineering, IEEE Transactions on, vol. 14, no. 2, pp. 234–240, 2006.
  • [7] T. Cao, F. Wan, P. U. Mak, P.-I. Mak, M. I. Vai, and Y. Hu, “Flashing color on the performance of ssvep-based brain-computer interfaces,” Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, pp. 1819–1822, 2012.
  • [8] M. Aljshamee, M. Q. Mohammed, A. M. Riaz-Ul-Ahsan Choudhury, and P. Luksch, “Beyond pure frequency and phases exploiting: Color influence in ssvep based on bci,” Computer Technology and Application, vol. 5, no. 2, 2014.
  • [9] R. J. M. G. Tello, S. M. T. Müller, A. Ferreira, and T. F. Bastos, “Comparison of the influence of stimuli color on steady-state visual evoked potentials,” Research on Biomedical Engineering, vol. 31, no. 3, pp. 218–231, 2015.
  • [10] S. Mouli, R. Palaniappan, I. P. Sillitoe, and J. Q. Gan, “Quantification of ssvep responses using multi-chromatic led stimuli: Analysis on colour, orientation and frequency,” Computer Science and Electronic Engineering Conference (CEEC), 2015 7th, pp. 93–98, 2015.
  • [11] S. Mouli, R. Palaniappan, I. P. Sillitoe, and J. Gan, “Performance analysis of multi-frequency ssvep-bci using clear and frosted colour led stimuli,” Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on, pp. 1–4, 2013.
  • [12] R. Singla, A. Khosla, and R. Jha, “Influence of stimuli color on steadystate visual evoked potentials based bci wheelchair control,” Journal of Biomedical Science and Engineering, vol. 6, no. 11, p. 1050, 2013.
  • [13] M. Byczuk, P. Poryzała, and A. Materka, “On diversity within operators’ eeg responses to led-produced alternate stimulus in ssvep bci,” Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 60, no. 3, pp. 447–453, 2012.
  • [14] A. Duszyk, M. Bierzyńska, Z. Radzikowska, P. Milanowski, R. Kuś, P. Suffczyński, M. Michalska, M. Łabęcki, P. Zwoliński, and P. Durka, “Towards an optimization of stimulus parameters for brain-computer interfaces based on steady state visual evoked potentials,” PLoS ONE, no. 9(11), 2014.
  • [15] M. Aljshamee, S. Nadir, A. Malekpour, and P. Luksch, “Discriminate the brain responses of multiple colors based on regular/irregular ssvep paradigms,” Journal of Medical and Bioengineering Vol, vol. 5, no. 2, 2016.
  • [16] D. Regan, “An effect of stimulus colour on average steady-state potentials evoked in man,” Nature, vol. 210, 1966.
  • [17] D. Aminaka, S. Makino, and T. M. Rutkowski, “Ssvep brain-computer interface using green and blue lights,” Proceedings of The 10th AEARU Workshop on Computer Science and Web Technologies (CSWT- 2015). University of Tsukuba, pp. 39–40, 2015.
  • [18] D. Aminaka, S. Makino, and T. Rutkowski, “Chromatic ssvep bci paradigm targeting the higher frequency eeg responses,” Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA), pp. 1–7, 2014.
  • [19] R. Tello, S. Müller, T. Bastos, and A. Ferreira, “Evaluation of different stimuli color for an ssvep-based bci,” XXIV Congresso Brasileiro de Engenharia Biomédica – CBEB, pp. 25–28, 2014.
  • [20] Y. Wang, N. Wong, Y.-T. Wang, Y. Wang, X. Huang, L. Huang, T.-P. Jung, A. J. Mandell, and C.-K. Cheng, “Study of visual stimulus waveforms via forced van der pol oscillator model for ssvep-based braincomputer interfaces,” Communications, Circuits and Systems (ICCCAS), 2013 International Conference on, vol. 2, pp. 475–479, 2013.
  • [21] F. Teng, Y. Chen, A. M. Choong, S. Gustafson, C. Reichley, P. Lawhead, and D. Waddell, “Square or sine: Finding a waveform with high success rate of eliciting ssvep,” Computational Intelligence and Neuroscience, vol. 2011, p. 2, 2011.
  • [22] H. Jasper, “Report of the committee on methods of clinical examination in electroencephalography,” Electroencephalogr Clin Neurophysiol, vol. 10, pp. 370–375, 1958.
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Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-69f5beac-e48a-46b9-95b1-63aeaec77154
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