Graz-BCI: state of the art and clinical applications.
The Graz-brain-computer interface (BCI) is a cue-based system using the imagery of motor action as the appropriate mental task. Relevant clinical applications of BCI-based systems for control of a virtual keyboard device and operations of a hand orthosis are reported. Additionally, it is demonstrated how information transfer rates of 17 b/min can be acquired by real time classification of oscillatory activity.
Pfurtscheller
G
G
Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology Graz, 8010 Graz, Austria. pfurtscheller@tugraz.at
Neuper
C
C
Müller
G R
GR
Obermaier
B
B
Krausz
G
G
Schlögl
A
A
Scherer
R
R
Graimann
B
B
Keinrath
C
C
Skliris
D
D
Wörtz
M
M
Supp
G
G
Schrank
C
C
D000690:Amyotrophic Lateral Sclerosis / Q000503:physiopathology / Q000534:rehabilitation*; D001186:Artificial Limbs; D001921:Brain / Q000503:physiopathology; D003071:Cognition; D003143:Communication Devices for People with Disabilities; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods*; D005071:Evoked Potentials; D006225:Hand; D006801:Humans; D020407:Internet; D010353:Patient Education as Topic / Q000379:methods; D010865:Pilot Projects; D011782:Quadriplegia / Q000534:rehabilitation*; D017216:Telemedicine / Q000379:methods; D014584:User-Computer Interface