Brain-Computer Interface based on EEG signals
Leszek Marek
leszek0marek@gmail.comLublin University of Technology (Poland)
Małgorzata Plechawska-Wójcik
Lublin University of Technology (Poland)
Abstract
The aim of the article is to test the brain-computer interface application using the SSVEP paradigm. During the realization of the project various methods of recording brain activity were tested, and the suitable acquisition device was chosen. Consecutive stages of the interface operation, which are data processing and classification, were presented in the OpenVibe environment. Finally, the usefulness and efficiency were estimated using a designed application.
Keywords:
Brain-Computer Interface; BCI; SVEEP; CSP; EEGReferences
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[3] M. Jukiewicz: Praca magisterska pt. Klasyfikacja i analiza sygnału EEG na potrzeby interfejsu mózg-komputer, Wydział Elektryczny, Politechnika Poznańska, Poznań, 2012.
[4] J. Daly, J. Wolpaw, (2008). Brain-computer interfaces in neurological rehabilitation. Lancet Neurological, 7, 1032-1043
[5] E. Donchin, K.M. Spencer, R. Wijesinghe, The mental prosthesis: assessing the speed of a P300-based braincomputer interface, IEEE Trans Rehabil Eng, 8 (2000)
[6] J. Polich, Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol, 118 (2007)
[7] Hyekyoung Lee, A. Cichocki, Seungjin Choi, Kernel nonnegative matrix factorization for spectral EEG feature extraction, Neurocomputing 72 (2009)
[8] D. Regan, Steady-state evoked potentials. J Opt Soc Am 1977
[9] R. Rak, M. Kołodziej, Zastosowanie analizy częstotliwościowej sygnału EEG w interfejsach mózgkomputer, Przegląd Elektrotechniczny Nr 5 (2008).
[10] J. Ding, G. Sperling, R. Srinivasan, Attentional modulation of SSVEP power depends on the network tagged by the flicker frequency, Cereb Cortex. 16 (2006)
[11] M.M. Jackson, R. Mappus, (2010). Applications for Brain-Computer Interfaces. W: D.S. Tan, A. Nijholt (red.), Brain-Computer Interfaces. Applying our Minds to Human-Computer Interaction (s.89-104). Londyn: Springer
[12] M. Kołodziej, Przetwarzanie, analiza i klasyfikacja sygnału EEG na użytek interfejsu mózg-komputer , Warszawa, 2011
[13] SSVEP: Steady-State Visual-Evoked Potentials, posted 2011, http://openvibe.inria.fr/steady-state-visual-evokedpotentials/ [12.09.2016]
Marek, L., & Plechawska-Wójcik , M. (2016). Brain-Computer Interface based on EEG signals . Journal of Computer Sciences Institute, 2, 64–69. https://doi.org/10.35784/jcsi.113
Authors
Małgorzata Plechawska-WójcikLublin University of Technology Poland
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