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Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation

Sensors (Basel, Switzerland), 2019-10, Vol.19 (20), p.4596

2019

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A soft neuroprosthetic hand providing simultaneous myoelectric control and tactile feedback

Nature biomedical engineering, 2023-04, Vol.7 (4), p.589-598

2023

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Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method

IEEE journal of biomedical and health informatics, 2021-04, Vol.25 (4), p.1292-1304

2021

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Evolving Fuzzy Models for Prosthetic Hand Myoelectric-Based Control

IEEE transactions on instrumentation and measurement, 2020-07, Vol.69 (7), p.4625-4636

2020

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Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors

Sensors (Basel, Switzerland), 2018-05, Vol.18 (5), p.1615

2018

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Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques

Sensors (Basel, Switzerland), 2018-08, Vol.18 (8), p.2497

2018

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A CNN-LSTM Hybrid Model for Wrist Kinematics Estimation Using Surface Electromyography

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-9

2021

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Adaptive model-based myoelectric control for a soft wearable arm exosuit: A new generation of wearable robot control

IEEE robotics & automation magazine, 2020-03, Vol.27 (1), p.0-0

2020

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A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks

IEEE transactions on neural systems and rehabilitation engineering, 2020-01, Vol.28 (1), p.94-103

2020

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EMG‐Based Estimation of Limb Movement Using Deep Learning With Recurrent Convolutional Neural Networks

Artificial organs, 2018-05, Vol.42 (5), p.E67-E77

2018

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A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control

IEEE transactions on neural systems and rehabilitation engineering, 2020-02, Vol.28 (2), p.370-379

2020

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Biomechanical Comparison of Assistance Strategies Using a Bilateral Robotic Knee Exoskeleton

IEEE transactions on biomedical engineering, 2021-09, Vol.68 (9), p.2870-2879

2021

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Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning

IEEE transactions on biomedical engineering, 2018-04, Vol.65 (4), p.770-778

2018

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Toward Robust, Adaptiveand Reliable Upper-Limb Motion Estimation Using Machine Learning and Deep Learning-A Survey in Myoelectric Control

IEEE journal of biomedical and health informatics, 2022-08, Vol.26 (8), p.3822-3835

2022

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A Proportional Pattern Recognition Control Scheme for Wearable A-mode Ultrasound Sensing

IEEE transactions on industrial electronics (1982), 2020-01, Vol.67 (1), p.800-808

2020

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An EMG-Based Deep Learning Approach for Multi-DOF Wrist Movement Decoding

IEEE transactions on industrial electronics (1982), 2022-07, Vol.69 (7), p.7099-7108

2022

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EMG-Based Real-Time Linear-Nonlinear Cascade Regression Decoding of Shoulder, Elbow, and Wrist Movements in Able-Bodied Persons and Stroke Survivors

IEEE transactions on biomedical engineering, 2020-05, Vol.67 (5), p.1272-1281

2020

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Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG

Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1642

2020

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Prediction of Myoelectric Biomarkers in Post-Stroke Gait

Sensors (Basel, Switzerland), 2021-08, Vol.21 (16), p.5334

2021

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Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition

IEEE access, 2019, Vol.7, p.61378-61387

2019

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Improved High-Density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural Network

IEEE transactions on neural systems and rehabilitation engineering, 2020-12, Vol.28 (12), p.2637-2646

2020

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Wearable Monitoring Devices for Biomechanical Risk Assessment at Work: Current Status and Future Challenges-A Systematic Review

International journal of environmental research and public health, 2018-09, Vol.15 (9), p.2001

2018

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Multi-Grip Classification-Based Prosthesis Control With Two EMG-IMU Sensors

IEEE transactions on neural systems and rehabilitation engineering, 2020-02, Vol.28 (2), p.508-518

2020

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Complexity Analysis of Surface Electromyography for Assessing the Myoelectric Manifestation of Muscle Fatigue: A Review

Entropy (Basel, Switzerland), 2020-05, Vol.22 (5), p.529

2020

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Mechatronic design of a myoelectric and mechanomyographic prosthesis with intelligent control for the control of the grip function in people with wrist disarticulation and transradial amputation

AIP Conference Proceedings, 2023, Vol.2643 (1)

2023

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Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation

A soft neuroprosthetic hand providing simultaneous myoelectric control and tactile feedback

Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method

Evolving Fuzzy Models for Prosthetic Hand Myoelectric-Based Control

Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors

Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques

A CNN-LSTM Hybrid Model for Wrist Kinematics Estimation Using Surface Electromyography

Adaptive model-based myoelectric control for a soft wearable arm exosuit: A new generation of wearable robot control

A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks

EMG‐Based Estimation of Limb Movement Using Deep Learning With Recurrent Convolutional Neural Networks

A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control

Biomechanical Comparison of Assistance Strategies Using a Bilateral Robotic Knee Exoskeleton

Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning

Toward Robust, Adaptiveand Reliable Upper-Limb Motion Estimation Using Machine Learning and Deep Learning-A Survey in Myoelectric Control

A Proportional Pattern Recognition Control Scheme for Wearable A-mode Ultrasound Sensing

An EMG-Based Deep Learning Approach for Multi-DOF Wrist Movement Decoding

EMG-Based Real-Time Linear-Nonlinear Cascade Regression Decoding of Shoulder, Elbow, and Wrist Movements in Able-Bodied Persons and Stroke Survivors

Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG

Prediction of Myoelectric Biomarkers in Post-Stroke Gait

Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition

Improved High-Density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural Network

Wearable Monitoring Devices for Biomechanical Risk Assessment at Work: Current Status and Future Challenges-A Systematic Review

Multi-Grip Classification-Based Prosthesis Control With Two EMG-IMU Sensors

Complexity Analysis of Surface Electromyography for Assessing the Myoelectric Manifestation of Muscle Fatigue: A Review

Mechatronic design of a myoelectric and mechanomyographic prosthesis with intelligent control for the control of the grip function in people with wrist disarticulation and transradial amputation

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