A single-switch BCI based on passive and imagined movements: toward restoring communication in minimally conscious patients.
about
Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG.Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.Technology-aided programs for post-coma patients emerged from or in a minimally conscious state.Technology-based intervention programs to promote stimulation control and communication in post-coma persons with different levels of disabilitySTRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging.Operationalizing Cognitive Science and Technologies' Research and Development; the "Brain and Cognition Study Group (BCSG)" Initiative from Shiraz, Iran.Brain-computer interface: current and emerging rehabilitation applicationsBrain-computer interface after nervous system injury.Toward an Attention-Based Diagnostic Tool for Patients With Locked-in Syndrome.Incorporation of Inter-Subject Information to Improve the Accuracy of Subject-Specific P300 Classifiers.Increasing N200 Potentials Via Visual Stimulus Depicting Humanoid Robot Behavior.Uncorrelated multiway discriminant analysis for motor imagery EEG classification.Spreading codes enables the blind estimation of the hemodynamic response with short-events sequences.Application of quantum-behaved particle swarm optimization to motor imagery EEG classification.EEG Classification with a Sequential Decision-Making Method in Motor Imagery BCI.Electrode fusion for the prediction of self-initiated fine movements from single-trial readiness potentials.Assistive technology to help persons in a minimally conscious state develop responding and stimulation control: Performance assessment and social rating.A P300 brain-computer interface based on a modification of the mismatch negativity paradigm.An ERP-based BCI using an oddball paradigm with different faces and reduced errors in critical functions.Faster P300 Classifier Training Using Spatiotemporal Beamforming.Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis.Emotion-Related Consciousness Detection in Patients With Disorders of Consciousness Through an EEG-Based BCI System.
P2860
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P2860
A single-switch BCI based on passive and imagined movements: toward restoring communication in minimally conscious patients.
description
2013 nî lūn-bûn
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name
A single-switch BCI based on p ...... minimally conscious patients.
@en
A single-switch BCI based on p ...... minimally conscious patients.
@nl
type
label
A single-switch BCI based on p ...... minimally conscious patients.
@en
A single-switch BCI based on p ...... minimally conscious patients.
@nl
prefLabel
A single-switch BCI based on p ...... minimally conscious patients.
@en
A single-switch BCI based on p ...... minimally conscious patients.
@nl
P2093
P2860
P1476
A single-switch BCI based on p ...... minimally conscious patients.
@en
P2093
Christoph Pokorny
Daniela S Klobassa
Petar Horki
P2860
P304
P356
10.1142/S0129065712500372
P577
2013-03-03T00:00:00Z