title: Brain-computer communication based on the dynamics of brain oscillations.
abstract: This chapter presents a review of brain-computer communication based on motor imagery and the dynamics of brain oscillations. The concept of motor imagery as experimental strategy and the two different modes of operation a brain-computer interface can have are explained. An EEG based brain switch that can control a FES-induced hand grasp of a tetraplegic and an approach towards an ECoG based brain switch are presented.
authors.affiliation: Department of Medical Informatics, Institute for Biomedical Engineering, Technical University of Graz, and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, Inffeldgasse 16a/II, A-8010 Graz, Austria. graimann@tugraz.at
authors.forename: G
authors.initials: G
authors.lastname: Pfurtscheller
authors.forename: B
authors.initials: B
authors.lastname: Graimann
authors.forename: J E
authors.initials: JE
authors.lastname: Huggins
authors.forename: S P
authors.initials: SP
authors.lastname: Levine
mesh_terms: D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D003344:Cortical Synchronization; D018737:Hand Strength / Q000502:physiology; D006801:Humans; D007092:Imagination / Q000502:physiology; D009068:Movement / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface