Neural decoding of treadmill walking from noninvasive electroencephalographic signals. - Wikidata - awgldk - TriplyDB

Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

http://www.wikidata.org/entity/Q35811328

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Neuroscience, ethics, and national security: the state of the art The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial.Bicycling and Walking are Associated with Different Cortical Oscillatory Dynamics.Walking adaptability after a stroke and its assessment in clinical settings.Numerical processing in the human parietal cortex during experimental and natural conditions.Neural decoding of expressive human movement from scalp electroencephalography (EEG).Prefrontal, posterior parietal and sensorimotor network activity underlying speed control during walking.Towards effective non-invasive brain-computer interfaces dedicated to gait rehabilitation systems.On the usage of linear regression models to reconstruct limb kinematics from low frequency EEG signals.A Channel Rejection Method for Attenuating Motion-Related Artifacts in EEG Recordings during Walking.Nonlinear EEG decoding based on a particle filter model A study on decoding models for the reconstruction of hand trajectories from the human magnetoencephalography.Decoding intra-limb and inter-limb kinematics during treadmill walking from scalp electroencephalographic (EEG) signals.Brain activation associated with active and passive lower limb stepping.Sitting and standing intention can be decoded from scalp EEG recorded prior to movement execution Prior knowledge improves decoding of finger flexion from electrocorticographic signals.EEG Single-Trial Detection of Gait Speed Changes during Treadmill Walk Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?On-Going Frontal Alpha Rhythms Are Dominant in Passive State and Desynchronize in Active State in Adult Gray Mouse Lemurs Restoration of whole body movement: toward a noninvasive brain-machine interface system Analyzing EEG signals to detect unexpected obstacles during walking.Independent Component Analysis of Gait-Related Movement Artifact Recorded using EEG Electrodes during Treadmill Walking Negligible Motion Artifacts in Scalp Electroencephalography (EEG) During Treadmill Walking.Changes in cortical activity measured with EEG during a high-intensity cycling exercise Single-trial classification of gait and point movement preparation from human EEG NeuroRex: a clinical neural interface roadmap for EEG-based brain machine interfaces to a lower body robotic exoskeleton High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton.Classification of stand-to-sit and sit-to-stand movement from low frequency EEG with locality preserving dimensionality reduction.A Closed-loop Brain Computer Interface to a Virtual Reality Avatar: Gait Adaptation to Visual Kinematic Perturbations.Simultaneous scalp electroencephalography (EEG), electromyography (EMG), and whole-body segmental inertial recording for multi-modal neural decoding.Decoding Lower Limb Muscle Activity and Kinematics from Cortical Neural Spike Trains during Monkey Performing Stand and Squat Movements.Neuroimaging of Human Balance Control: A Systematic Review.Measuring human locomotor control using EMG and EEG: Current knowledge, limitations and future considerations.Supraspinal Control Predicts Locomotor Function and Forecasts Responsiveness to Training after Spinal Cord Injury.EEG-Based Detection of Starting and Stopping During Gait Cycle.Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.Cortical activity modulations underlying age-related performance differences during posture-cognition dual tasking.Electrocortical activity distinguishes between uphill and level walking in humans.Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals.It's how you get there: walking down a virtual alley activates premotor and parietal areas.

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P2860

Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

http://www.wikidata.org/entity/Q35811328

description

2011 nî lūn-bûn

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2011年の論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年论文

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2011年论文

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2011年论文

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name

Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

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Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

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type

label

Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

@ast

Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

@en

prefLabel

Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

@ast

Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

@en

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Journal of Neurophysiology

P1476

Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

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Alessandro Presacco

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Jose Luis Contreras-Vidal

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Larry Forrester

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Ronald Goodman

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P2860

Learning to control a brain-machine interface for reaching and grasping by primates

Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks

Adaptation reveals independent control networks for human walking

Transcranial magnetic stimulation and stretch reflexes in the tibialis anterior muscle during human walking

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

How we walk: central control of muscle activity during human walking.

Decoding face information in time, frequency and space from direct intracranial recordings of the human brain

Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand.

High accuracy decoding of movement target direction in non-human primates based on common spatial patterns of local field potentials.

Ankle dorsiflexion as an fMRI paradigm to assay motor control for walking during rehabilitation.

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