A robust adaptive denoising framework for real-time artifact removal in scalp EEG measurements.
about
The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial.Brain Connectivity Variation Topography Associated with Working Memory.Volitional and Real-Time Control Cursor Based on Eye Movement Decoding Using a Linear Decoding Model.Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walkingWorkshops of the Sixth International Brain-Computer Interface Meeting: brain-computer interfaces past, present, and future.Gait adaptation to visual kinematic perturbations using a real-time closed-loop brain-computer interface to a virtual reality avatar.Deployment of Mobile EEG Technology in an Art Museum Setting: Evaluation of Signal Quality and Usability.Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing.A new ICA-based fingerprint method for the automatic removal of physiological artifacts from EEG recordings.A mobile brain-body imaging dataset recorded during treadmill walking with a brain-computer interface.
P2860
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P2860
A robust adaptive denoising framework for real-time artifact removal in scalp EEG measurements.
description
2016 nî lūn-bûn
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2016年の論文
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2016年学术文章
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name
A robust adaptive denoising fr ...... val in scalp EEG measurements.
@en
type
label
A robust adaptive denoising fr ...... val in scalp EEG measurements.
@en
prefLabel
A robust adaptive denoising fr ...... val in scalp EEG measurements.
@en
P356
P1476
A robust adaptive denoising fr ...... val in scalp EEG measurements.
@en
P2093
Atilla Kilicarslan
Robert G Grossman
P304
P356
10.1088/1741-2560/13/2/026013
P577
2016-02-10T00:00:00Z