Fusion Model Using Resting Neurophysiological Data to Help Mass Screening of Methamphetamine Use Disorder
IEEE Journal of Translational Engineering in Health and Medicine,
13,
1-8,
2025-01-01
[
bio-signal,data fusion,electrocardiography (ECG),electroencephalography (EEG),galvanic skin response (GSR),heart rate variability (HRV),machine learning,Methamphetamine (MA),multimodal data,virtual reality (VR)
]
Exploring the possible relationship between skin microbiome and brain cognitive functions: a pilot EEG study
Scientific Reports,
14,
1,
2024-12-01
Fusion of Multi-Task Neurophysiological Data to Enhance the Detection of Attention-Deficit/Hyperactivity Disorder
IEEE Journal of Translational Engineering in Health and Medicine,
12,
668-674,
2024-01-01
[
assessment,Attention-deficit/hyperactivity disorder,deep learning,multi-model fusion,virtual reality
]
Mobile Virtual Assistant for Multi-Modal Depression-Level Stratification
IEEE Transactions on Affective Computing,
2024-01-01
[
Biomedical monitoring,Convolutional neural networks,Depression,depression recognition,Face recognition,Feature extraction,multi-modal fusion,Virtual assistants,virtual human,Visualization
]
Impaired Brain-Heart Relation in Patients With Methamphetamine Use Disorder During VR Induction of Drug Cue Reactivity
IEEE Journal of Translational Engineering in Health and Medicine,
12,
1-9,
2024-01-01
[
EEG,heart rate variability (HRV),impaired brain-heart relation,methamphetamine use disorder (MUD),Neuronal abnormalities,virtual reality (VR)
]
Evaluation of a decided sample size in machine learning applications
BMC Bioinformatics,
24,
1,
2023-12-01
[
Criteria,Effect sizes,Machine learning,Sample size
]
Bacillus amyloliquefaciens Increases the GABA in Rice Seed for Upregulation of Type I Collagen in the Skin
Current Microbiology,
80,
4,
2023-04-01
Neuronal Correlates of Task Irrelevant Distractions Enhance the Detection of Attention Deficit/Hyperactivity Disorder
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
31,
1302-1310,
2023-01-01
[
Attention deficit/hyperactivity disorder (ADHD),continuous performance test (CPT),distractions,electroencephalography (EEG),go/no-go task,machine learning,virtual reality (VR)
]
Neuronal Abnormalities Induced by an Intelligent Virtual Reality System for Methamphetamine Use Disorder
IEEE Journal of Biomedical and Health Informatics,
26,
7,
3458-3465,
2022-07-01
[
EEG,methamp-hetamine use disorder (MUD),neuronal abnormalities,resting-state,virtual reality (VR)
]
Propionic acid produced by Cutibacterium acnes fermentation ameliorates ultraviolet B-induced melanin synthesis
Scientific Reports,
11,
1,
2021-12-01
Low-frequency oscillations in cortical level to help diagnose task-specific dystonia
Neurobiology of Disease,
157,
2021-09-01
[
EEG,Effective connectivity,Low frequency (LF),Machine learning,Task-specific dystonia (TSD),Wrist extension
]
An intelligent virtual-reality system with multi-model sensing for cue-elicited craving in patients with methamphetamine use disorder
IEEE Transactions on Biomedical Engineering,
68,
7,
2270-2280,
2021-07-01
[
electrocardiogram (ECG),eye tracking,Galvanic Skin Response (GSR),Heart Rate Variability (HRV),machine learning,Methamphetamine,virtual reality (VR)
]
A Machine-Learning-Based Assessment Method for Early-Stage Neurocognitive Impairment by an Immersive Virtual Supermarket
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
29,
2124-2132,
2021-01-01
[
Alzheimer’s disease,assessment,Cognitive impairment,machine learning,virtual reality
]
Synchrony Between Default-Mode and Sensorimotor Networks Facilitates Motor Function in Stroke Rehabilitation: A Pilot fMRI Study
Frontiers in Neuroscience,
14,
2020-06-16
[
functional connectivity,motor,neuroplasticity,rehabilitation,resting-state functional MRI,stroke
]
An EEG-Based Attentiveness Recognition System Using Hilbert–Huang Transform and Support Vector Machine
Journal of Medical and Biological Engineering,
40,
2,
230-238,
2020-04-01
[
Attentiveness,Electroencephalogram,Hilbert-Huang transform,Machine learning
]
Distinguishing the visual working memory training and practice effects by the effective connectivity during n-back tasks: A DCM of ERP study
Frontiers in Behavioral Neuroscience,
13,
2019-04-30
EEG-based motor network biomarkers for identifying target patients with stroke for upper limb rehabilitation and its construct validity
PLoS ONE,
12,
6,
2017-06-01
Neuronal correlates of a virtual-reality-based passive sensory P300 network
PLoS ONE,
9,
11,
2014-11-17
Accelerating Computation of DCM for ERP in MATLAB by External Function Calls to the GPU
PLoS ONE,
8,
6,
2013-06-26
A dynamic causal model for evoked and induced responses
,
59,
1,
340-348,
2012-01-02
Nonlinear coupling in the human motor system
Journal of Neuroscience,
30,
25,
8393-8399,
2010-06-23
Dynamic causal modeling for EEG and MEG
Human Brain Mapping,
30,
6,
1866-1876,
2009-06-01
[
Bayesian analysis,EEG,MEG,Network model
]
Forward and backward connections in the brain: A DCM study of functional asymmetries
NeuroImage,
45,
2,
453-462,
2009-04-01
[
Backward connection,Dynamic causal modelling,Induced responses,Neuronal dynamics,Nonlinear coupling,Predictive coding,Recurrent connection,Reentrant dynamics,Spectral responses
]
Using wearable sensors to study the brain-heart interactions during attentional and resting states
13-14,
2023-01-01
[
brain-heart interaction,EEG,HRV,wearable sensor
]
Multiclass Classification of EEG Motor Imagery Signals Based on Transfer Learning
140-143,
2022-01-01
[
Deep Learning,EEG,multi-category classification,Transfer Learning
]
A guideline to determine the training sample size when applying big data mining methods in clinical decision making
678-681,
2018-06-22
[
Artificial intelligence , Big data mining , Guideline , Heterogeneous data , Sample size
]
The changes of improvement-related motor kinetics after virtual reality based rehabilitation
683-685,
2017-07-21
[
Individualized treatment , Kinematic Features , Virtual reality (VR) based rehabilitation
]
The movement-related cortical activities under the virtual environment with force feedback
11-12,
2015-04-03
[
rehabilitation , virtual reality
]
Accelerating computation of DCM for ERP with GPU-based parallel strategy
679-684,
2012-11-28
[
CUDA , Dynamic causal modelling , Expectation maximization , Parallel computing
]
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