SSVEP-BCI implementation for 37-40 Hz frequency range

Annu Int Conf IEEE Eng Med Biol Soc. 2011:2011:6352-5. doi: 10.1109/IEMBS.2011.6091568.

Abstract

This work presents a Brain-Computer Interface (BCI) based on Steady State Visual Evoked Potentials (SSVEP), using higher stimulus frequencies (>30 Hz). Using a statistical test and a decision tree, the real-time EEG registers of six volunteers are analyzed, with the classification result updated each second. The BCI developed does not need any kind of settings or adjustments, which makes it more general. Offline results are presented, which corresponds to a correct classification rate of up to 99% and a Information Transfer Rate (ITR) of up to 114.2 bits/min.

MeSH terms

  • Algorithms
  • Automation
  • Brain / pathology*
  • Communication
  • Communication Aids for Disabled
  • Decision Trees
  • Electroencephalography / methods
  • Equipment Design
  • Evoked Potentials, Visual
  • Humans
  • Man-Machine Systems
  • Models, Statistical
  • Robotics
  • Signal Processing, Computer-Assisted
  • User-Computer Interface