Brain-computer interfaces for communication and rehabilitation.
about
Unimodal Versus Bimodal EEG-fMRI Neurofeedback of a Motor Imagery Task.Subthalamic nucleus beta and gamma activity is modulated depending on the level of imagined grip force.Brain-Computer Interface-Based Communication in the Completely Locked-In State.Vowel Imagery Decoding toward Silent Speech BCI Using Extreme Learning Machine with ElectroencephalogramTuning Up the Old Brain with New Tricks: Attention Training via NeurofeedbackBrain-Computer Interface for Clinical Purposes: Cognitive Assessment and RehabilitationMotor Imagery Impairment in Postacute Stroke PatientsRecursive Exponentially Weighted N-way Partial Least Squares Regression with Recursive-Validation of Hyper-Parameters in Brain-Computer Interface Applications.Closed-Loop Hybrid Gaze Brain-Machine Interface Based Robotic Arm Control with Augmented Reality Feedback.Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors.A brain-controlled lower-limb exoskeleton for human gait training.Eye-tracking-based assessment suggests preserved well-being in locked-in patients.Wearable and modular functional near-infrared spectroscopy instrument with multidistance measurements at four wavelengths.Corrigendum: Brain-computer interfaces for communication and rehabilitation.Learned control of inter-hemispheric connectivity: Effects on bimanual motor performance.Advances in Implanted Brain-Computer Interfaces Allow for Independent Communication in a Locked-In Patient.Combining Mental Training and Physical Training With Goal-Oriented Protocols in Stroke Rehabilitation: A Feasibility Case Study.How Our Cognition Shapes and Is Shaped by Technology: A Common Framework for Understanding Human Tool-Use Interactions in the Past, Present, and Future.EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 st Century.Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and Beyond.Fast Recognition of BCI-Inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke Patients.Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis.The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users.Robotic exoskeletons: The current pros and consAssessing bimanual motor skills with optical neuroimagingEvent-related desynchronization during movement attempt and execution in severely paralyzed stroke patients: An artifact removal relevance analysisBrain–Computer Interfaces and Interactive Capacity in Patients With Disorders of ConsciousnessScreening for Cognitive Function in Complete Immobility Using Brain-Machine Interfaces: A Proof of Principle StudyA Characterization of Brain-Computer Interface Performance Trade-Offs Using Support Vector Machines and Deep Neural Networks to Decode Movement Intent
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Brain-computer interfaces for communication and rehabilitation.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Brain-computer interfaces for communication and rehabilitation.
@en
type
label
Brain-computer interfaces for communication and rehabilitation.
@en
prefLabel
Brain-computer interfaces for communication and rehabilitation.
@en
P2860
P1476
Brain-computer interfaces for communication and rehabilitation.
@en
P2093
Ujwal Chaudhary
P2860
P2888
P304
P356
10.1038/NRNEUROL.2016.113
P407
P577
2016-08-19T00:00:00Z
P6179
1032584477