The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study.
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Brain Painting: First Evaluation of a New Brain–Computer Interface Application with ALS-Patients and Healthy VolunteersTask instructions modulate the attentional mode affecting the auditory MMN and the semantic N400.An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user.Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks.Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR).Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury.A comparison of two spelling Brain-Computer Interfaces based on visual P3 and SSVEP in Locked-In SyndromeAcute effects of delta-9-tetrahydrocannabinol on performance monitoring in healthy volunteers.Simultaneous detection of P300 and steady-state visually evoked potentials for hybrid brain-computer interface.Predicting 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.P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls.Correlates of Near-Infrared Spectroscopy Brain-Computer Interface Accuracy in a Multi-Class Personalization FrameworkIncreasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.Detecting intention to walk in stroke patients from pre-movement EEG correlatesThe effects of working memory on brain-computer interface performance.Functional priorities, assistive technology, and brain-computer interfaces after spinal cord injuryA plug-and-play brain-computer interface to operate commercial assistive technology.Empathy, motivation, and P300 BCI performance.The Asilomar Survey: Stakeholders' Opinions on Ethical Issues Related to Brain-Computer InterfacingGamma band activity associated with BCI performance: simultaneous MEG/EEG study.Toward a P300 Based Brain-Computer Interface for Aphasia Rehabilitation after Stroke: Presentation of Theoretical Considerations and a Pilot Feasibility StudyThe use of P300-based BCIs in amyotrophic lateral sclerosis: from augmentative and alternative communication to cognitive assessment.Fuzzy Decision-Making Fuser (FDMF) for Integrating Human-Machine Autonomous (HMA) Systems with Adaptive Evidence Sources.Reaching and Grasping a Glass of Water by Locked-In ALS Patients through a BCI-Controlled Humanoid Robot.Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training.Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design.Workshops of the Sixth International Brain-Computer Interface Meeting: brain-computer interfaces past, present, and future.Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline.The Impact of Different Visual Feedbacks in User Training on Motor Imagery Control in BCI.Brain-Computer Interfaces for Augmentative and Alternative Communication: A Tutorial.An eye-tracking controlled neuropsychological battery for cognitive assessment in neurological diseases.A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance.Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance.Psychological Predictors of Visual and Auditory P300 Brain-Computer Interface Performance.Heading for new shores! Overcoming pitfalls in BCI design.Fast Recognition of BCI-Inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke Patients.On the Relationship Between Attention Processing and P300-Based Brain Computer Interface Control in Amyotrophic Lateral Sclerosis.Eyes-Closed Resting EEG Predicts the Learning of Alpha Down-Regulation in Neurofeedback Training
P2860
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P2860
The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
The influence of psychological ...... erosis - a longitudinal study.
@ast
The influence of psychological ...... erosis - a longitudinal study.
@en
The influence of psychological ...... erosis - a longitudinal study.
@nl
type
label
The influence of psychological ...... erosis - a longitudinal study.
@ast
The influence of psychological ...... erosis - a longitudinal study.
@en
The influence of psychological ...... erosis - a longitudinal study.
@nl
prefLabel
The influence of psychological ...... erosis - a longitudinal study.
@ast
The influence of psychological ...... erosis - a longitudinal study.
@en
The influence of psychological ...... erosis - a longitudinal study.
@nl
P2860
P921
P356
P1476
The influence of psychological ...... erosis - a longitudinal study.
@en
P2093
Femke Nijboer
P2860
P356
10.3389/FNINS.2010.00055
P577
2010-07-21T00:00:00Z