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Adaptive Real-Time Identification of Motor Unit Discharges From Non-Stationary High-Density Surface Electromyographic Signals

IEEE transactions on biomedical engineering, 2020-12, Vol.67 (12), p.3501-3509

2020

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Toward an Enhanced Human–Machine Interface for Upper-Limb Prosthesis Control With Combined EMG and NIRS Signals

IEEE transactions on human-machine systems, 2017-08, Vol.47 (4), p.564-575

2017

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Decoding Multi-DoF Movements Using a CST-based Force Generation Model With Single-DoF Training

IEEE transactions on neural systems and rehabilitation engineering, 2024-01, Vol.32, p.1-1

2024

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EMG Signal Filtering Based on Variational Mode Decomposition and Sub-Band Thresholding

IEEE journal of biomedical and health informatics, 2021-01, Vol.25 (1), p.47-58

2021

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A soft neuroprosthetic hand providing simultaneous myoelectric control and tactile feedback

Nature biomedical engineering, 2023-04, Vol.7 (4), p.589

2023

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Mechanomyography Assisted Myoeletric Sensing for Upper-Extremity Prostheses: A Hybrid Approach

IEEE sensors journal, 2017-05, Vol.17 (10), p.3100-3108

2017

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Invariant Surface EMG Feature Against Varying Contraction Level for Myoelectric Control Based on Muscle Coordination

IEEE journal of biomedical and health informatics, 2015-05, Vol.19 (3), p.874-882

2015

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Development of a Multi-Channel Compact-Size Wireless Hybrid sEMG/NIRS Sensor System for Prosthetic Manipulation

IEEE sensors journal, 2016-01, Vol.16 (2), p.447-456

2016

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User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control

Journal of neural engineering, 2015-08, Vol.12 (4), p.046005-046005

2015

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Mapping individual motor unit activity to continuous three-DoF wrist torques: perspectives for myoelectric control

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.1-1

2023

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Electrotactile Feedback Improves Grip Force Control and Enables Object Stiffness Recognition While Using a Myoelectric Hand

IEEE transactions on neural systems and rehabilitation engineering, 2022, Vol.30, p.1310-1320

2022

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Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography

Biomedical signal processing and control, 2020-01, Vol.55, p.101637, Article 101637

2020

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Segment-Wise Decomposition of Surface Electromyography to Identify Discharges Across Motor Neuron Populations

IEEE transactions on neural systems and rehabilitation engineering, 2022, Vol.30, p.2012-2021

2022

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Reduced Daily Recalibration of Myoelectric Prosthesis Classifiers Based on Domain Adaptation

IEEE journal of biomedical and health informatics, 2016-01, Vol.20 (1), p.166-176

2016

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Improving robustness against electrode shift of high density EMG for myoelectric control through common spatial patterns

Journal of neuroengineering and rehabilitation, 2015-12, Vol.12 (1), p.110-110, Article 110

2015

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Common spatial-spectral analysis of EMG signals for multiday and multiuser myoelectric interface

Biomedical signal processing and control, 2019-08, Vol.53, p.101572, Article 101572

2019

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A Calibration-free Hybrid Approach Combining SSVEP and EOG for Continuous Control

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.1-1

2023

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Enhanced Motor Imagery-Based BCI Performance via Tactile Stimulation on Unilateral Hand

Frontiers in human neuroscience, 2017-12, Vol.11, p.585-585

2017

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Ball Motion Control in the Table Tennis Robot System Using Time-Series Deep Reinforcement Learning

IEEE access, 2021, Vol.9, p.99816-99827

2021

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Continuous tool-path planning for optimizing thermo-mechanical properties in wire-arc additive manufacturing: An evolutional method

Journal of manufacturing processes, 2022-11, Vol.83, p.354-373

2022

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NeuroMotion: Open-source platform with neuromechanical and deep network modules to generate surface EMG signals during voluntary movement

PLoS computational biology, 2024-07, Vol.20 (7), p.e1012257

2024

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Assessing differential representation of hand movements in multiple domains using stereo-electroencephalographic recordings

NeuroImage (Orlando, Fla.), 2022-04, Vol.250, p.118969-118969, Article 118969

2022

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Selective sensation based brain-computer interface via mechanical vibrotactile stimulation

PloS one, 2013-06, Vol.8 (6), p.e64784-e64784

2013

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Fast Recognition of BCI-Inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke Patients

Frontiers in neuroscience, 2018-02, Vol.12, p.93-93

2018

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Exploring Fatigue Effects on Performance Variation of Intensive Brain-Computer Interface Practice

Frontiers in neuroscience, 2021-12, Vol.15, p.773790-773790

2021

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Adaptive Real-Time Identification of Motor Unit Discharges From Non-Stationary High-Density Surface Electromyographic Signals

Toward an Enhanced Human–Machine Interface for Upper-Limb Prosthesis Control With Combined EMG and NIRS Signals

Decoding Multi-DoF Movements Using a CST-based Force Generation Model With Single-DoF Training

EMG Signal Filtering Based on Variational Mode Decomposition and Sub-Band Thresholding

A soft neuroprosthetic hand providing simultaneous myoelectric control and tactile feedback

Mechanomyography Assisted Myoeletric Sensing for Upper-Extremity Prostheses: A Hybrid Approach

Invariant Surface EMG Feature Against Varying Contraction Level for Myoelectric Control Based on Muscle Coordination

Development of a Multi-Channel Compact-Size Wireless Hybrid sEMG/NIRS Sensor System for Prosthetic Manipulation

User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control

Mapping individual motor unit activity to continuous three-DoF wrist torques: perspectives for myoelectric control

Electrotactile Feedback Improves Grip Force Control and Enables Object Stiffness Recognition While Using a Myoelectric Hand

Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography

Segment-Wise Decomposition of Surface Electromyography to Identify Discharges Across Motor Neuron Populations

Reduced Daily Recalibration of Myoelectric Prosthesis Classifiers Based on Domain Adaptation

Improving robustness against electrode shift of high density EMG for myoelectric control through common spatial patterns

Common spatial-spectral analysis of EMG signals for multiday and multiuser myoelectric interface

A Calibration-free Hybrid Approach Combining SSVEP and EOG for Continuous Control

Enhanced Motor Imagery-Based BCI Performance via Tactile Stimulation on Unilateral Hand

Ball Motion Control in the Table Tennis Robot System Using Time-Series Deep Reinforcement Learning

Continuous tool-path planning for optimizing thermo-mechanical properties in wire-arc additive manufacturing: An evolutional method

NeuroMotion: Open-source platform with neuromechanical and deep network modules to generate surface EMG signals during voluntary movement

Assessing differential representation of hand movements in multiple domains using stereo-electroencephalographic recordings

Selective sensation based brain-computer interface via mechanical vibrotactile stimulation

Fast Recognition of BCI-Inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke Patients

Exploring Fatigue Effects on Performance Variation of Intensive Brain-Computer Interface Practice

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