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Chinese sign language recognition based on surface electromyography and motion information

PloS one, 2023-12, Vol.18 (12), p.e0295398-e0295398

2023

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Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors

Sensors (Basel, Switzerland), 2017-05, Vol.17 (6), p.1229

2017

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A hierarchical semi-supervised extreme learning machine method for EEG recognition

Medical & biological engineering & computing, 2019-01, Vol.57 (1), p.147-157

2019

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Advances in nanotechnology-based targeted-contrast agents for computed tomography and magnetic resonance

Science Progress, 2024-01, Vol.107 (1), p.368504241228076-368504241228076

2024

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Gesture Recognition Based on Multiscale Singular Value Entropy and Deep Belief Network

Sensors (Basel, Switzerland), 2020-12, Vol.21 (1), p.119

2020

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Research on Brain Networks of Human Balance Based on Phase Estimation Synchronization

Brain sciences, 2024-05, Vol.14 (5), p.448

2024

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Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine

Medical & biological engineering & computing, 2020-09, Vol.58 (9), p.2119-2130

2020

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Feature-Level Fusion of Surface Electromyography for Activity Monitoring

Sensors (Basel, Switzerland), 2018-02, Vol.18 (2), p.614

2018

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Analysis of Cortico-Muscular Coupling and Functional Brain Network under Different Standing Balance Paradigms

Brain sciences, 2024-01, Vol.14 (1), p.81

2024

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Influence of Anodal tDCS on the Brain Functional Networks and Muscle Synergy of Hand Movements

Journal of integrative neuroscience, 2024-01, Vol.23 (1), p.22-22

2024

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An entropy fusion method for feature extraction of EEG

Neural computing & applications, 2018-05, Vol.29 (10), p.857-863

2018

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Application of a multi-source multi-task weight adaptation framework for cross-domain EEG emotion recognition(MS-MWA)

Signal, image and video processing, 2024-12, Vol.18 (12), p.9105-9118

2024

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Research on Recognition of Motor Imagination Based on Connectivity Features of Brain Functional Network

Neural plasticity, 2021-02, Vol.2021, p.6655430-10

2021

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SEMG-based multifeatures and predictive model for knee-joint-angle estimation

AIP advances, 2019-09, Vol.9 (9), p.095042-095042-10

2019

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Denoising of surface electromyogram based on complementary ensemble empirical mode decomposition and improved interval thresholding

Review of scientific instruments, 2019-03, Vol.90 (3), p.035003

2019

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Optimal channel-based sparse time-frequency blocks common spatial pattern feature extraction method for motor imagery classification

Mathematical biosciences and engineering : MBE, 2021-07, Vol.18 (4), p.4247-4263

2021

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Dual Learning-Based Safe Semi-Supervised Learning

IEEE access, 2018-01, Vol.6, p.2615-2621

2018

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Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network

Neural computation, 2020-04, Vol.32 (4), p.741-758

2020

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Functional integration of mirror neuron system and sensorimotor cortex under virtual self-actions visual perception

Behavioural brain research, 2022-04, Vol.423, p.113784-113784, Article 113784

2022

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sEMG-MMG State-Space Model for the Continuous Estimation of Multijoint Angle

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-12

2020

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Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification

Neural plasticity, 2016-01, Vol.2016 (2016), p.1-15

2016

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Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification

Computational Intelligence and Neuroscience, 2015-01, Vol.2015 (2015), p.235-243

2015

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Safety-aware Graph-based Semi-Supervised Learning

Expert systems with applications, 2018-10, Vol.107, p.243-254

2018

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Improving motor imagery practice with synchronous action observation in stroke patients

Topics in stroke rehabilitation, 2016-01, Vol.23 (4), p.245-253

2016

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Local homogeneous consistent safe semi-supervised clustering

Expert systems with applications, 2018-05, Vol.97, p.384-393

2018

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Chinese sign language recognition based on surface electromyography and motion information

Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors

A hierarchical semi-supervised extreme learning machine method for EEG recognition

Advances in nanotechnology-based targeted-contrast agents for computed tomography and magnetic resonance

Gesture Recognition Based on Multiscale Singular Value Entropy and Deep Belief Network

Research on Brain Networks of Human Balance Based on Phase Estimation Synchronization

Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine

Feature-Level Fusion of Surface Electromyography for Activity Monitoring

Analysis of Cortico-Muscular Coupling and Functional Brain Network under Different Standing Balance Paradigms

Influence of Anodal tDCS on the Brain Functional Networks and Muscle Synergy of Hand Movements

An entropy fusion method for feature extraction of EEG

Application of a multi-source multi-task weight adaptation framework for cross-domain EEG emotion recognition(MS-MWA)

Research on Recognition of Motor Imagination Based on Connectivity Features of Brain Functional Network

SEMG-based multifeatures and predictive model for knee-joint-angle estimation

Denoising of surface electromyogram based on complementary ensemble empirical mode decomposition and improved interval thresholding

Optimal channel-based sparse time-frequency blocks common spatial pattern feature extraction method for motor imagery classification

Dual Learning-Based Safe Semi-Supervised Learning

Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network

Functional integration of mirror neuron system and sensorimotor cortex under virtual self-actions visual perception

sEMG-MMG State-Space Model for the Continuous Estimation of Multijoint Angle

Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification

Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification

Safety-aware Graph-based Semi-Supervised Learning

Improving motor imagery practice with synchronous action observation in stroke patients

Local homogeneous consistent safe semi-supervised clustering

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