title: Motor imagery and EEG-based control of spelling devices and neuroprostheses.
abstract: 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.
authors.affiliation: Institute of Psychology, University of Graz, Universitätsplatz 2/III, A-8010 Graz, Austria. christa.neuper@uni-graz.at
authors.forename: Christa
authors.initials: C
authors.lastname: Neuper
authors.forename: Gernot R
authors.initials: GR
authors.lastname: Müller-Putz
authors.forename: Reinhold
authors.initials: R
authors.lastname: Scherer
authors.forename: Gert
authors.initials: G
authors.lastname: Pfurtscheller
mesh_terms: D003143:Communication Devices for People with Disabilities; D003344:Cortical Synchronization; D004569:Electroencephalography; D005246:Feedback / Q000502:physiology; D006801:Humans; D007092:Imagination / Q000502:physiology*; D019736:Prostheses and Implants; D014584:User-Computer Interface