Title :
Graz-BCI: state of the art and clinical applications
Author :
Pfurtscheller, G. ; Neuper, C. ; Müller, G.R. ; Obermaier, B. ; Krausz, G. ; Schlögl, A. ; Scherer, R. ; Graimann, B. ; Keinrath, C. ; Skliris, D. ; Wörtz, M. ; Supp, G. ; Schrank, C.
Author_Institution :
Dept. of Med. Informatics, Univ. of Technol. Graz, Austria
fDate :
6/1/2003 12:00:00 AM
Abstract :
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.
Keywords :
biomechanics; biomedical equipment; electroencephalography; handicapped aids; orthotics; user interfaces; appropriate mental task; cue-based system; hand orthosis operations; information transfer rates; motor action imagery; oscillatory activity classification; real time classification; virtual keyboard device; Biomedical engineering; Electroencephalography; Performance analysis; Positron emission tomography; Signal analysis; Signal processing; Amyotrophic Lateral Sclerosis; Artificial Limbs; Brain; Cognition; Communication Aids for Disabled; Electroencephalography; Evoked Potentials; Hand; Humans; Internet; Patient Education as Topic; Pilot Projects; Quadriplegia; Telemedicine; User-Computer Interface;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2003.814454
