Stimuli design for SSVEP-based brain computer-interface
Abstract
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.
Full Text:
PDFReferences
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.
J. Bieger and G. Garcia Molina, “Light stimulation properties to influence brain activity: a brain-computer interface application,” Philips
Research, Tech. Rep., 2010.
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,
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.
D. Regan, “Human brain electrophysiology: evoked potentials and
evoked magnetic fields in science and medicine,” 1989.
Y. Wang, R. Wang, X. Gao, B. Hong, and S. Gao, “A practical vep-based brain-computer interface,” Neural Systems and Rehabilitation
Engineering, IEEE Transactions on, vol. 14, no. 2, pp. 234–240, 2006.
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.
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.
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.
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.
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.
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.
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.
A. Duszyk, M. Bierzyska, Z. Radzikowska, P. Milanowski, R. Ku,
P. Suffczyski, M. Michalska, M. abcki, P. Zwoliski, 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.
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,
D. Regan, “An effect of stimulus colour on average steady-state potentials evoked in man,” Nature, vol. 210, 1966.
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.
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.
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.
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.
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.
H. Jasper, “Report of the committee on methods of clinical examination in electroencephalography,” Electroencephalogr Clin Neurophysiol, vol. 10, pp. 370–375, 1958.
M. Jukiewicz and A. Cysewska-Sobusiak, “Stanowisko laboratoryjne
do pomiaru i analizy potencjaów wywoanych,” Poznan University of
Technology Academic Journals. Electrical Engineering, vol. 82, pp.
–266, 2015.
Refbacks
- There are currently no refbacks.
International Journal of Electronics and Telecommunications
is a periodical of Electronics and Telecommunications Committee
of Polish Academy of Sciences
eISSN: 2300-1933
