Graz-BCI: state of the art and clinical applications

G Pfurtscheller; C Neuper; G R Müller; B Obermaier; G Krausz; A Schlögl; R Scherer; B Graimann; C Keinrath; D Skliris; M Wörtz; G Supp; C Schrank

doi:10.1109/TNSRE.2003.814454

Graz-BCI: state of the art and clinical applications

IEEE Trans Neural Syst Rehabil Eng. 2003 Jun;11(2):177-80. doi: 10.1109/TNSRE.2003.814454.

Authors

G Pfurtscheller¹, C Neuper, G R Müller, B Obermaier, G Krausz, A Schlögl, R Scherer, B Graimann, C Keinrath, D Skliris, M Wörtz, G Supp, C Schrank

Affiliation

¹ Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology Graz, 8010 Graz, Austria. [email protected]

PMID: 12899267
DOI: 10.1109/TNSRE.2003.814454

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.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Amyotrophic Lateral Sclerosis / physiopathology
Amyotrophic Lateral Sclerosis / rehabilitation*
Artificial Limbs*
Brain / physiopathology
Cognition
Communication Aids for Disabled*
Electroencephalography / instrumentation
Electroencephalography / methods*
Evoked Potentials
Hand
Humans
Internet
Patient Education as Topic / methods
Pilot Projects
Quadriplegia / rehabilitation*
Telemedicine / methods
User-Computer Interface*