EEG-based brain-computer interface using subject-specific spatial filters

  • G. Pfurtscheller
  • C. Guger
  • H. Ramoser
Bio-inspired Systems
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1607)

Abstract

Sensorimotor EEG rhythms are affected by motor imagery and can, therefore, be used as input signals for an EEG-based brain-computer interface (BCI). Satisfactory classification rates of imagery-related EEG patterns can be activated when multiple EEG recordings and the method of common spatial patterns is used for parameter estimation. Data from 3 BCI experiments with and without feedback are reported.

Key words

Brain-Computer Interface (BCI) single-trial EEG classification common spatial filter motor imagery event-related desynchronization 

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Copyright information

© Springer-Verlag 1999

Authors and Affiliations

  • G. Pfurtscheller
    • 1
  • C. Guger
    • 1
  • H. Ramoser
    • 1
  1. 1.Department of Medical Informatics, Institute of Biomedical Engng. and Ludwig Boltzmann Institute of Medical Informatics and NeuroinformaticsUniversity of Technology, GrazGrazAustria

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