Advertisement

Graz Brain-Computer Interface (BCI) II

  • J. Kalcher
  • D. Flotzinger
  • S. Gölly
  • Ch. Neuper
  • G. Pfurtscheller
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 860)

Abstract

This paper describes the new setup of the Graz Brain-Computer Interface (BCI) system II, which is based on on-line classification of EEG patterns to determine which of three kinds of movement is planned by a subject. This classification can be exploited for on-line control which may constitute a great help for handicapped persons in the future.

References

  1. 1.
    Clark C.R., Tizard J: Single-trial analysis of scalp electrical fields using artificial neural networks. Proceedings of 3rd Int. Congress on BET Amsterdam, 1992.Google Scholar
  2. 2.
    Hiraiwa A., Shimohara K., Tokunaga Y.: EEG topography recognition by Neural Networks, Engineering in Medicine and Biology, pp. 39–42, 1990.Google Scholar
  3. 3.
    Pfurtscheller G., Berghold A.: Patterns of cortical activation during planning of voluntary movement. Electroenceph. and clin. Neurophysiol., Vol. 72, pp. 250–258, 1989.Google Scholar
  4. 4.
    Pfurtscheller G., Flotzinger D., Mohl W., Peltoranta M.: Prediction of the side of hand movements from single-trial multi-channel EEG data using neural networks, Electroenceph. and clin. Neurophysiol., Vol. 82, pp. 313–315, 1992.Google Scholar
  5. 5.
    Wolpaw J. R., McFarland D., Neat G. W., Forneris C. A.: An EEG-based brain-computer interface for cursor control, Electroenceph. and clin. Neurophysiol., Vol. 78, pp. 252–259, 1991.Google Scholar
  6. 6.
    McFarland D. J., Neat G. W., Read R. F., Wolpaw J. R.: An EEG-based method for graded cursor control, Psychobiology, Vol. 21, No. 1, pp. 77–81, 1993.Google Scholar
  7. 7.
    Pfurtscheller G., Flotzinger D., Kalcher J.: Brain-Computer Interface — a new communication device for handicapped persons. Journal of Microcomputer Appl., Vol. 16. pp. 293–299, 1993.Google Scholar
  8. 8.
    Pfurtscheller G., Flotzinger D., Neuper Ch.: Differentiation between finger, toe and tongue movement in man based on 40-Hz EEG, Electroenceph. and clin. Neurophysiol., Vol. 90. pp. 456–460, 1994.Google Scholar
  9. 9.
    Kohonen T.: The Self-Organizing Map, Proceedings of the IEEE, Vol. 78, No. 9, pp. 1464–1480, 1990.CrossRefGoogle Scholar
  10. 10.
    Flotzinger D., Kalcher J., Pfurtscheller G.: EEG Classification by Learning Vector Quantization, Biomedizinische Technik, Vol. 37, No. 12, pp. 303–309, 1992.PubMedGoogle Scholar
  11. 11.
    Flotzinger, D., Pregenzer, M., Pfurtscheller, G.: Feature Selection with Distinction Sensitive Learning Vector Quantisation and Genetic Algorithm Proceedings of IEEE conference on Neural Networks (ICNN 94), pp. 3448–3451, 1994.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • J. Kalcher
    • 1
    • 2
  • D. Flotzinger
    • 1
    • 2
  • S. Gölly
    • 1
    • 2
  • Ch. Neuper
    • 1
    • 2
  • G. Pfurtscheller
    • 1
    • 2
  1. 1.Department of Medical InformaticsInstitute of Biomedical EngineeringAustria
  2. 2.Ludwig Boltzmann-Institute of Medical Informatics and NeuroinformaticsGraz University of TechnologyGrazAustria

Personalised recommendations