Classification of functional near-infrared spectroscopy signals corresponding to the right- and left-wrist motor imagery for development of a brain-computer interface.
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fNIRS-based brain-computer interfaces: a reviewOnline binary decision decoding using functional near-infrared spectroscopy for the development of brain–computer interfaceLateralization of music processing with noises in the auditory cortex: an fNIRS studyGreater Activity in the Frontal Cortex on Left Curves: A Vector-Based fNIRS Study of Left and Right Curve Driving.Detection and classification of three-class initial dips from prefrontal cortex.Decoding of four movement directions using hybrid NIRS-EEG brain-computer interfaceComparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRSPrefrontal Hemodynamics in Toddlers at Rest: A Pilot Study of Developmental VariabilityState-space models of impulse hemodynamic responses over motor, somatosensory, and visual cortices.Prefrontal cortex hemodynamics and age: a pilot study using functional near infrared spectroscopy in childrenTowards a near infrared spectroscopy-based estimation of operator attentional state.Real-time state estimation in a flight simulator using fNIRS.Passive ankle movement increases cerebral blood oxygenation in the elderly: an experimental study.Single-trial lie detection using a combined fNIRS-polygraph system.Hybrid EEG-fNIRS Asynchronous Brain-Computer Interface for Multiple Motor Tasks.Passive BCI based on drowsiness detection: an fNIRS studyBundled-Optode Method in Functional Near-Infrared SpectroscopyEnhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems.Analyzing EEG signals to detect unexpected obstacles during walking.Hand Motion Detection in fNIRS Neuroimaging Data.A Wearable Channel Selection-Based Brain-Computer Interface for Motor Imagery Detection.Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface ApplicationBundled-optode implementation for 3D imaging in functional near-infrared spectroscopy.Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface.Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial PatternsNear-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic.A Non-parametric Approach to the Overall Estimate of Cognitive Load Using NIRS Time Series.Hybrid EEG-fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter ControlHybrid Brain-Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A ReviewRelevant Feature Integration and Extraction for Single-Trial Motor Imagery Classification.Motor Imagery EEG Classification for Patients with Amyotrophic Lateral Sclerosis Using Fractal Dimension and Fisher's Criterion-Based Channel Selection.A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke.Review of functional near-infrared spectroscopy in neurorehabilitation.Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applications.Measuring Mental Workload with EEG+fNIRS.Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain-Computer Interface Using Adaptive Estimation of General Linear Model Coefficients.Can time-resolved NIRS provide the sensitivity to detect brain activity during motor imagery consistently?Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface.Assessment and Communication for People with Disorders of ConsciousnessUsability and performance-informed selection of personalized mental tasks for an online near-infrared spectroscopy brain-computer interface.
P2860
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P2860
Classification of functional near-infrared spectroscopy signals corresponding to the right- and left-wrist motor imagery for development of a brain-computer interface.
description
2013 nî lūn-bûn
@nan
2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Classification of functional n ...... of a brain-computer interface.
@ast
Classification of functional n ...... of a brain-computer interface.
@en
Classification of functional n ...... of a brain-computer interface.
@nl
type
label
Classification of functional n ...... of a brain-computer interface.
@ast
Classification of functional n ...... of a brain-computer interface.
@en
Classification of functional n ...... of a brain-computer interface.
@nl
prefLabel
Classification of functional n ...... of a brain-computer interface.
@ast
Classification of functional n ...... of a brain-computer interface.
@en
Classification of functional n ...... of a brain-computer interface.
@nl
P1433
P1476
Classification of functional n ...... of a brain-computer interface.
@en
P2093
Keum-Shik Hong
Noman Naseer
P356
10.1016/J.NEULET.2013.08.021
P407
P577
2013-08-20T00:00:00Z