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On diversity within operators' EEG responses to LED-produced alternate stimulus in SSVEP BCI

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Języki publikacji
EN
Abstrakty
EN
This work is an attempt to identify causes of the widely observed fact that performance of Brain-Computer Interface systems based on Steady-State Visual Evoked Potentials varies between different users. The efficient LED-produced alternate stimulus systems are taken into account. The effect of stimulus color and flickering frequency on measured SSVEP response at first and second harmonics is investigated for 10 women and 11 men. The experimental setup is described, measurement procedure, signal processing and analysis algorithms are outlined. The results are presented and discussed. One of the early conclusions drawn from this extensive research is that the promising strategy of SSVEP-based BCI system optimization for best performance can be through stimulus adjustment to each individual user.
Rocznik
Strony
447--453
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
autor
autor
  • Lodz University of Technology, Institute of Electronics, 211/215 Wolczańska St., 90-924 Łodź, Poland
Bibliografia
  • [1] E. Donchin, K.M. Spencer, and R. Wijesinghe, “The mental prosthesis: assessing the speed of a P300-based brain-computer interface”, Rehabilitation Eng., IEEE Trans. 8 (2), 174-179 (2000).
  • [2] Y. Li, J. Zhang, Y. Su, W. Chen, Y. Qi, J. Zhang, and X. Zheng, “P300 based BCI messenger”, Complex Medical Engineering,ICME Int. Conf. 1, 1-5 (2009).
  • [3] H.-G. Yeom and K.-B. Sim, “ERS and ERD analysis during the imaginary movement of arms”, Control, Automation andSystems, 2008 Int. Conf. 1, 2476-2480 (2008).
  • [4] Y. Wang, X. Gao, B. Hong, C. Jia, and S. Gao, “Braincomputer interfaces based on visual evoked potentials”, Eng. inMedicine and Biology Magazine, IEEE 27 (5), 64-71 (2008).
  • [5] D. Zhu, J. Bieger, G.G. Molina, and R.M. Aarts, “A survey of stimulation methods used in SSVEP-based BCIs”, HPC ComputationalIntelligence and Neuroscience 702357, CD-ROM (2010).
  • [6] A. Materka and M. Byczuk, “Alternate half-field stimulation technique for SSVEP-based brain-computer interfaces”, IEEEElectronics Letters 42 (6), 321-322 (2006).
  • [7] A. Materka, M. Byczuk, and P. Poryzała, “A virtual keypad based on alternate half-field stimulated visual evoked potentials”, 2007 IEEE Symp. Information Technology Convergence 1, 297-300 (2007).
  • [8] M. Byczuk, P. Poryzała, and A. Materka, “SSVEP-based braincomputer interface: on the effect of stimulus parameters on VEPs spectral characteristics”, in Human-Computer System Interaction:Backgrounds and Applications 2, Advances in Intelligentand Soft Computing 99, pp. 3-14, Springer, Berlin, 2012.
  • [9] Y. Wang, Z. Zhang, X. Gao, and S. Gao, “Lead selection for SSVEP-based brain-computer interface”, IEMBS ’04. 26thIEEE Annu. Int. Conf. 2, 4507-4510 (2004).
  • [10] A. Cichocki, Y. Washizawa, T. Rutkowski, H. Bakardjan, A.-H. Phan, S. Choi, H. Lee, Q. Zhao, and L. Zhang, “Noninvasive BCIs: multiway signal-processing array decomposition”, IEEEComputer 41 (10), 34-42 (2008).
  • [11] P. Poryzala, M. Byczuk and A. Materka, “Modular, pluginbased computer software for on-line analysis of electroencephalographic data in Brain Computer Interfaces”, Young ScientistsInnovations Forum FIMB 2011, www.fimb.p.lodz.pl (2011).
  • [12] A. Materka and M. Byczuk, “Using comb filter to enhance SSVEP for BCI applications”, IET 3rd Int. Conf. on Advancesin Medical, Signal and Information Processing MEDSIP 1, 1-4 (2006).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG8-0096-0007
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