Optimal spatial filtering of single trial EEG during imagined hand movement

IEEE Trans Rehabil Eng. 2000 Dec;8(4):441-6. doi: 10.1109/86.895946.


The development of an electroencephalograph (EEG)-based brain-computer interface (BCI) requires rapid and reliable discrimination of EEG patterns, e.g., associated with imaginary movement. One-sided hand movement imagination results in EEG changes located at contra- and ipsilateral central areas. We demonstrate that spatial filters for multichannel EEG effectively extract discriminatory information from two populations of single-trial EEG, recorded during left- and right-hand movement imagery. The best classification results for three subjects are 90.8%, 92.7%, and 99.7%. The spatial filters are estimated from a set of data by the method of common spatial patterns and reflect the specific activation of cortical areas. The method performs a weighting of the electrodes according to their importance for the classification task. The high recognition rates and computational simplicity make it a promising method for an EEG-based brain-computer interface.

Publication types

  • Clinical Trial
  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cerebral Cortex / physiology*
  • Electroencephalography*
  • Female
  • Hand / physiology
  • Humans
  • Image Processing, Computer-Assisted*
  • Imagination / physiology
  • Movement / physiology*
  • Self-Help Devices*
  • User-Computer Interface*