How many people are able to operate an EEG-based brain-computer interface (BCI)?
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- 28 July 2003
- journal article
- clinical trial
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Vol. 11 (2) , 145-147
- https://doi.org/10.1109/tnsre.2003.814481
Abstract
Ninety-nine healthy people participated in a brain-computer interface (BCI) field study conducted at an exposition held in Graz, Austria. Each subject spent 20-30 min on a two-session BCI investigation. The first session consisted of 40 trials conducted without feedback. Then, a subject-specific classifier was set up to provide the subject with feedback, and the second session - 40 trials in which the subject had to control a horizontal bar on a computer screen - was conducted. Subjects were instructed to imagine a right-hand movement or a foot movement after a cue stimulus depending on the direction of an arrow. Bipolar electrodes were mounted over the right-hand representation area and over the foot representation area. Classification results achieved with 1) an adaptive autoregressive model (39 subjects) and 2) band power estimation (60 subjects) are presented. Roughly 93% of the subjects were able to achieve classification accuracy above 60% after two sessions of training.Keywords
This publication has 13 references indexed in Scilit:
- Brain–computer interfaces for communication and controlClinical Neurophysiology, 2002
- Rapid prototyping of an EEG-based brain-computer interface (BCI)IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2001
- Brain oscillations control hand orthosis in a tetraplegicNeuroscience Letters, 2000
- Brain-computer interfaces based on the steady-state visual-evoked responseIEEE Transactions on Rehabilitation Engineering, 2000
- Enhancement of Left-Right Sensorimotor EEG Differences During Feedback-Regulated Motor ImageryJournal Of Clinical Neurophysiology, 1999
- A spelling device for the paralysedNature, 1999
- Design of an EEG-based Brain-Computer Interface (BCI) from Standard Components running in Real-time under Windows - Entwurf eines EEG-basierten Brain-Computer Interfaces (BCI) mit Standardkomponenten, das unter Windows in Echtzeit arbeitetBiomedizinische Technik/Biomedical Engineering, 1999
- Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parametersIEEE Transactions on Rehabilitation Engineering, 1998
- Design and operation of an EEG-based brain-computer interface with digital signal processing technologyBehavior Research Methods, Instruments & Computers, 1997
- An EEG-based brain-computer interface for cursor controlElectroencephalography and Clinical Neurophysiology, 1991