Impact of frequency selection on LCD screens for ssvep based brain-computer interfaces

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5517 LNCS, Issue PART 1, 2009, Pages 706-713

  Volosyak, Ivan ^a   Cecotti, Hubert ^a   Gräser, Axel ^a  

^a UNIVERSITY OF BREMEN   (Germany)

Author keywords

BCI (brain computer interface); Frequency selection; LCD; Ssvep (steady state visual evoked potential); Visual stimuli

Indexed keywords

BCI (BRAIN-COMPUTER INTERFACE); FREQUENCY SELECTION; LCD; SSVEP (STEADY-STATE VISUAL EVOKED POTENTIAL); VISUAL STIMULI;

BACKPROPAGATION; BIOELECTRIC POTENTIALS; LIGHT SOURCES; LIQUID CRYSTAL DISPLAYS; LIQUID CRYSTALS; NEURAL NETWORKS; OPTICAL SENSORS;

INTERFACES (COMPUTER);

EID: 68749101171     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02478-8_88     Document Type: Conference Paper

References (12)

1. Berger, T.W., Chapin, J.K., Gerhardt, G.A., McFarland, D.J., et al.: Brain-Computer Interfaces: An international assessment of research and development trends. Springer, Heidelberg (2008)
2. Dornhege, G., Sejnowski, T.J.: Toward Brain Computer Interfacing. MIT Press, Cambridge (2007)
3. Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Brain-computer interfaces for communication and control. J. Clin. Neurophysiol. 113(6), 767-791 (2002)
4. Herrmann, C.S.: Human EEG responses to 1-100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena. Exp. Brain Res. 137(3-4), 346-353 (2001)
5. Gao, X., Xu, D., Cheng, M., Gao, S.: A BCI-based environmental controller for the motion-disabled. J. Neural Syst. Rehabil. Eng. 11(2), 137-140 (2003)
6. Friman, O., Volosyak, L., Gràser, A.: Multiple channel detection of steady-state visual evoked potentials for brain-computer interfaces. J. of Biomed. Eng. 54(4), 742-750 (2007)
7. Middendorf, M., McMillan, G., Calhoun, G., Jones, K.S.: Brain-Computer Interfaces based on the Steady-State Visual Evoked response. J. Rehab Eng. 8(2), 211-214 (2000)
8. Wang, Y., Gao, X., Hong, B., Jia, C., Gao, S.: Brain-Computer Interfaces based on visual evoked potentials. J. Med. Biol. Mag. 27(5), 64-71 (2008)
9. Allison, B., Volosyak, L., Lüth, T., Valbuena, D., et al.: BCI Demographics: How many (and what kinds of) people can use an SSVEP BCI? In: Proceedings of the 4th International Brain-computer Interface Workshop and Training Course, Graz, Austria, pp. 333-338 (2008)
10. Valbuena, D., Cyriacks, M., Friman, O., Volosyak, L., Gráser, A.: Brain-Computer Interface for high-level control of rehabilitation robotic systems. In: Proc. IEEE ICORR 2007, Noordwijk, The Netherlands, pp. 619-625 (2007)
11. Wu, Z., Lai, Y., Xia, Y., Wu, D., Yao, D.: Stimulator selection in SSVEP-based BCI. J. Medical Engineering and Physics 30(8), 1079-1088 (2008)
12. Müller-Putz, G.R., Scherer, R., Brauneis, C., Pfurtscheller, G.: Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components. J. Neural Eng. 2(4), 123-130 (2005)