How many people are able to operate an EEG-based brain-computer interface (BCI)?
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P300 brain computer interface: current challenges and emerging trendsToward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentialsInvestigating the role of combined acoustic-visual feedback in one-dimensional synchronous brain computer interfaces, a preliminary study.Risk, diagnostic error, and the clinical science of consciousnessA Synchronous Motor Imagery Based Neural Physiological Paradigm for Brain Computer Interface Speller.Audio-visual feedback improves the BCI performance in the navigational control of a humanoid robotEEG datasets for motor imagery brain computer interface.Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke.Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR).An electrocorticographic BCI using code-based VEP for control in video applications: a single-subject studyThe influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study.Model based generalization analysis of common spatial pattern in brain computer interfaces.Real-time decoding of brain responses to visuospatial attention using 7T fMRI.Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury.A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface.Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study.Detecting awareness in the vegetative state: electroencephalographic evidence for attempted movements to command.A comparison of two spelling Brain-Computer Interfaces based on visual P3 and SSVEP in Locked-In SyndromeHigh theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery.Decoding intention at sensorimotor timescales.Brain-computer interface: current and emerging rehabilitation applicationsBrain-controlled muscle stimulation for the restoration of motor function.A P300-based cognitive assessment battery.Comparative Study of SSVEP- and P300-Based Models for the Telepresence Control of Humanoid RobotsPredicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns.Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface.Comparison of dry and gel based electrodes for p300 brain-computer interfacesTranscranial magnetic stimulation for individual identification of the best electrode position for a motor imagery-based brain-computer interface.An MEG-based brain-computer interface (BCI).Comparing Features for Classification of MEG Responses to Motor Imagery.Autonomous Parameter Adjustment for SSVEP-Based BCIs with a Novel BCI WizardHow Many People Could Use an SSVEP BCI?Brain-computer interface systems: progress and prospects.Gamma band activity associated with BCI performance: simultaneous MEG/EEG study.Paired Associative Stimulation Using Brain-Computer Interfaces for Stroke Rehabilitation: A Pilot Study.Evolutionary Algorithm Based Feature Optimization for Multi-Channel EEG Classification.The use of P300-based BCIs in amyotrophic lateral sclerosis: from augmentative and alternative communication to cognitive assessment.Are treatment effects of neurofeedback training in children with ADHD related to the successful regulation of brain activity? A review on the learning of regulation of brain activity and a contribution to the discussion on specificityAssisting drinking with an affordable BCI-controlled wearable robot and electrical stimulation: a preliminary investigation.
P2860
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P2860
How many people are able to operate an EEG-based brain-computer interface (BCI)?
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
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2003年学术文章
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name
How many people are able to operate an EEG-based brain-computer interface (BCI)?
@en
How many people are able to operate an EEG-based brain-computer interface
@nl
type
label
How many people are able to operate an EEG-based brain-computer interface (BCI)?
@en
How many people are able to operate an EEG-based brain-computer interface
@nl
prefLabel
How many people are able to operate an EEG-based brain-computer interface (BCI)?
@en
How many people are able to operate an EEG-based brain-computer interface
@nl
P2093
P1476
How many people are able to operate an EEG-based brain-computer interface (BCI)?
@en
P2093
Edlinger G
Niedermayer I
Pfurtscheller G
P304
P356
10.1109/TNSRE.2003.814481
P577
2003-06-01T00:00:00Z