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EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system

Medical & biological engineering & computing, 2020-07, Vol.58 (7), p.1515-1528

2020

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Decoding Multi-Class Motor Imagery From Unilateral Limbs Using EEG Signals

IEEE transactions on neural systems and rehabilitation engineering, 2024, Vol.32, p.3399-3409

2024

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Subject-based Feature Extraction by Using fisher WPD-CSP in Brain Computer Interfaces

Computer methods and programs in biomedicine, 2016-06, Vol.129, p.21-28

2016

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Temporal-frequency-phase feature classification using 3D-convolutional neural networks for motor imagery and movement

Frontiers in neuroscience, 2023-08, Vol.17, p.1250991

2023

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Local and global convolutional transformer-based motor imagery EEG classification

Frontiers in neuroscience, 2023-08, Vol.17, p.1219988-1219988

2023

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Task-Related Component Analysis Combining Paired Character Decoding for Miniature Asymmetric Visual Evoked Potentials

IEEE transactions on neural systems and rehabilitation engineering, 2022-01, Vol.30, p.1331-1339

2022

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M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding

IEEE transactions on neural systems and rehabilitation engineering, 2024, Vol.32, p.401-411

2024

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Tensile strength prediction and process parameters optimization of FSW thick AA2219-T8 based on ANN-GA

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024-07, Vol.46 (7), Article 388

2024

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Comparison of brain functions between healthy participants and methamphetamine users with various addiction histories: Data analysis based on EEG and fNIRS

Journal of innovative optical health science, 2024-05, Vol.17 (3)

2024

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EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery

Journal of integrative neuroscience, 2024-08, Vol.23 (8), p.153

2024

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A large EEG dataset for studying cross-session variability in motor imagery brain-computer interface

Scientific data, 2022-09, Vol.9 (1), p.531-531, Article 531

2022

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Diagnosis analysis of rectal function through using ensemble empirical mode decomposition-deep belief networks algorithm

Review of scientific instruments, 2021-06, Vol.92 (6), p.064102

2021

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EEG assessment of brain dysfunction for patients with chronic primary pain and depression under auditory oddball task

Frontiers in neuroscience, 2023-03, Vol.17, p.1133834-1133834

2023

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Classification accuracy and functional difference prediction in different brain regions of drug abuser prefrontal lobe basing on machine-learning

Mathematical biosciences and engineering : MBE, 2021-01, Vol.18 (5), p.5692-5706

2021

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Application of bi-modal signal in the classification and recognition of drug addiction degree based on machine learning

Mathematical biosciences and engineering : MBE, 2021-01, Vol.18 (5), p.6926-6940

2021

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Different types of drug abusers prefrontal cortex activation patterns and based on machine-learning classification

Journal of innovative optical health science, 2022-03, Vol.15 (2)

2022

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Application of Motor Imagery Brain-Computer Interface in Rehabilitation of Neurological Diseases

Rehabilitation Medicine, 2023-12, Vol.33 (6), p.477-485

YANG, Banghua

2023

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Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs

Journal of biomedical semantics, 2021-11, Vol.12 (1), p.21-21, Article 21

2021

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BCI+VR rehabilitation design of closed-loop motor imagery based on the degree of drug addiction

China communications, 2022-02, Vol.19 (2), p.62-72

2022

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A new 2-class unilateral upper limb motor imagery tasks for stroke rehabilitation training

Medicine in novel technology and devices, 2022-03, Vol.13, p.100100, Article 100100

2022

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A deep neural network with subdomain adaptation for motor imagery brain-computer interface

Medical engineering & physics, 2021-10, Vol.96, p.29-40

2021

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Ligand-Promoted Iridium-Catalyzed Transfer Hydrogenation of Terminal Alkynes with Ethanol and Its Application

ACS omega, 2019-10, Vol.4 (14), p.16045-16051

2019

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Study on the Influence of Positive Emotion on the Recognition Accuracy of Motor Imagery

2021 40th Chinese Control Conference (CCC), 2021, p.7235-7240

2021

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A Real-Time EMG-Based Fixed-Bandwidth Frequency-Domain Embedded System for Robotic Hand

Frontiers in neurorobotics, 2022-06, Vol.16, p.880073-880073

2022

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Hand Gesture Recognition using sEMG Signals Based on CNN

2021 40th Chinese Control Conference (CCC), 2021, p.7180-7184

2021

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EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system

Decoding Multi-Class Motor Imagery From Unilateral Limbs Using EEG Signals

Subject-based Feature Extraction by Using fisher WPD-CSP in Brain Computer Interfaces

Temporal-frequency-phase feature classification using 3D-convolutional neural networks for motor imagery and movement

Local and global convolutional transformer-based motor imagery EEG classification

Task-Related Component Analysis Combining Paired Character Decoding for Miniature Asymmetric Visual Evoked Potentials

M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding

Tensile strength prediction and process parameters optimization of FSW thick AA2219-T8 based on ANN-GA

Comparison of brain functions between healthy participants and methamphetamine users with various addiction histories: Data analysis based on EEG and fNIRS

EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery

A large EEG dataset for studying cross-session variability in motor imagery brain-computer interface

Diagnosis analysis of rectal function through using ensemble empirical mode decomposition-deep belief networks algorithm

EEG assessment of brain dysfunction for patients with chronic primary pain and depression under auditory oddball task

Classification accuracy and functional difference prediction in different brain regions of drug abuser prefrontal lobe basing on machine-learning

Application of bi-modal signal in the classification and recognition of drug addiction degree based on machine learning

Different types of drug abusers prefrontal cortex activation patterns and based on machine-learning classification

Application of Motor Imagery Brain-Computer Interface in Rehabilitation of Neurological Diseases

Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs

BCI+VR rehabilitation design of closed-loop motor imagery based on the degree of drug addiction

A new 2-class unilateral upper limb motor imagery tasks for stroke rehabilitation training

A deep neural network with subdomain adaptation for motor imagery brain-computer interface

Ligand-Promoted Iridium-Catalyzed Transfer Hydrogenation of Terminal Alkynes with Ethanol and Its Application

Study on the Influence of Positive Emotion on the Recognition Accuracy of Motor Imagery

A Real-Time EMG-Based Fixed-Bandwidth Frequency-Domain Embedded System for Robotic Hand

Hand Gesture Recognition using sEMG Signals Based on CNN

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