title: Optimal spatial filtering of single trial EEG during imagined hand movement.
abstract: 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.
authors.affiliation: Department of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology, Austria. ramoser@dpmi.tu-graz.ac.at
authors.forename: H
authors.initials: H
authors.lastname: Ramoser
authors.forename: J
authors.initials: J
authors.lastname: Müller-Gerking
authors.forename: G
authors.initials: G
authors.lastname: Pfurtscheller
mesh_terms: D000328:Adult; D002540:Cerebral Cortex / Q000502:physiology*; D004569:Electroencephalography; D005260:Female; D006225:Hand / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007092:Imagination / Q000502:physiology; D009068:Movement / Q000502:physiology*; D012656:Self-Help Devices; D014584:User-Computer Interface