Decoding intra-limb and inter-limb kinematics during treadmill walking from scalp electroencephalographic (EEG) signals.
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Non-invasive brain-to-brain interface (BBI): establishing functional links between two brains.Mechatronic Wearable Exoskeletons for Bionic Bipedal Standing and Walking: A New Synthetic ApproachWhen "I" becomes "We": ethical implications of emerging brain-to-brain interfacing technologies.Neural decoding of expressive human movement from scalp electroencephalography (EEG).Prefrontal, posterior parietal and sensorimotor network activity underlying speed control during walking.Brain activation associated with active and passive lower limb stepping.Sitting and standing intention can be decoded from scalp EEG recorded prior to movement executionAnalyzing EEG signals to detect unexpected obstacles during walking.Negligible Motion Artifacts in Scalp Electroencephalography (EEG) During Treadmill Walking.User-driven control increases cortical activity during treadmill walking: an EEG study.NeuroRex: a clinical neural interface roadmap for EEG-based brain machine interfaces to a lower body robotic exoskeletonHigh 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.Simultaneous scalp electroencephalography (EEG), electromyography (EMG), and whole-body segmental inertial recording for multi-modal neural decoding.Lower limb wearable capacitive sensing and its applications to recognizing human gaits.Decoding Lower Limb Muscle Activity and Kinematics from Cortical Neural Spike Trains during Monkey Performing Stand and Squat Movements.Imaging natural cognition in actionNeuroimaging of Human Balance Control: A Systematic Review.Measuring human locomotor control using EMG and EEG: Current knowledge, limitations and future considerations.Identifying Engineering, Clinical and Patient's Metrics for Evaluating and Quantifying Performance of Brain-Machine Interface (BMI) Systems.Supraspinal Control Predicts Locomotor Function and Forecasts Responsiveness to Training after Spinal Cord Injury.EEG-Based Detection of Starting and Stopping During Gait Cycle.Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walkingMultiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals.Reaching movement onset- and end-related characteristics of EEG spectral power modulations.Deployment of Mobile EEG Technology in an Art Museum Setting: Evaluation of Signal Quality and Usability.Electrocortical correlates of human level-ground, slope, and stair walking.Controlling Assistive Machines in Paralysis Using Brain Waves and Other Biosignals
P2860
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P2860
Decoding intra-limb and inter-limb kinematics during treadmill walking from scalp electroencephalographic (EEG) signals.
description
2012 nî lūn-bûn
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2012 թուականի Մարտին հրատարակուած գիտական յօդուած
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2012 թվականի մարտին հրատարակված գիտական հոդված
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2012年の論文
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2012年論文
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2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Decoding intra-limb and inter- ...... ncephalographic (EEG) signals.
@ast
Decoding intra-limb and inter- ...... ncephalographic (EEG) signals.
@en
Decoding intra-limb and inter- ...... scalp electroencephalographic
@nl
type
label
Decoding intra-limb and inter- ...... ncephalographic (EEG) signals.
@ast
Decoding intra-limb and inter- ...... ncephalographic (EEG) signals.
@en
Decoding intra-limb and inter- ...... scalp electroencephalographic
@nl
prefLabel
Decoding intra-limb and inter- ...... ncephalographic (EEG) signals.
@ast
Decoding intra-limb and inter- ...... ncephalographic (EEG) signals.
@en
Decoding intra-limb and inter- ...... scalp electroencephalographic
@nl
P2860
P1476
Decoding intra-limb and inter- ...... ncephalographic (EEG) signals.
@en
P2093
Alessandro Presacco
Larry W Forrester
P2860
P304
P356
10.1109/TNSRE.2012.2188304
P577
2012-03-01T00:00:00Z