Motor imagery and EEG-based control of spelling devices and neuroprostheses

Prog Brain Res. 2006;159:393-409. doi: 10.1016/S0079-6123(06)59025-9.


A brain-computer interface (BCI) transforms signals originating from the human brain into commands that can control devices or applications. With this, a BCI provides a new non-muscular communication channel, which can be used to assist patients who have highly compromised motor functions. The Graz-BCI uses motor imagery and associated oscillatory EEG signals from the sensorimotor cortex for device control. As a result of research in the past 15 years, the classification of ERD/ERS patterns in single EEG trials during motor execution and motor imagery forms the basis of this sensorimotor-rhythm controlled BCI. The major frequency bands of cortical oscillations considered here are the 8-13 and 15-30 Hz bands. This chapter describes the basic methods used in Graz-BCI research and outlines possible clinical applications.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Communication Aids for Disabled*
  • Cortical Synchronization
  • Electroencephalography*
  • Feedback / physiology
  • Humans
  • Imagination / physiology*
  • Prostheses and Implants
  • User-Computer Interface*