Myoelectric control systems for upper limb wearable robotic exoskeletons and exosuits—A systematic review

J Fu, R Choudhury, SM Hosseini, R Simpson, JH Park - Sensors, 2022 - mdpi.com
In recent years, myoelectric control systems have emerged for upper limb wearable robotic
exoskeletons to provide movement assistance and/or to restore motor functions in people …

A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends

S Ni, MAA Al-qaness, A Hawbani, D Al-Alimi… - Applied Soft …, 2024 - Elsevier
Hand gestures are crucial for developing prosthetic and rehabilitation devices, enabling
intuitive human–computer interaction (HCI) and improving accessibility for individuals with …

sEMG-based lower limb motion prediction using CNN-LSTM with improved PCA optimization algorithm

M Zhu, X Guan, Z Li, L He, Z Wang, K Cai - Journal of Bionic Engineering, 2023 - Springer
In recent years, sEMG (surface electromyography) signals have been increasingly used to
operate wearable devices. The development of mechanical lower limbs or exoskeletons …

Neuromorphic edge computing for biomedical applications: Gesture classification using emg signals

A Vitale, E Donati, R Germann… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
With the emergence of edge-computing platforms, the applications of smart wearable
devices are immense. This technology can be incorporated in consumer products such as …

Interaction with a hand rehabilitation exoskeleton in EMG-driven bilateral therapy: Influence of visual biofeedback on the users' performance

A Cisnal, P Gordaliza, J Pérez Turiel, JC Fraile - Sensors, 2023 - mdpi.com
The effectiveness of EMG biofeedback with neurorehabilitation robotic platforms has not
been previously addressed. The present work evaluates the influence of an EMG-based …

EMG dataset for gesture recognition with arm translation

I Kyranou, K Szymaniak, K Nazarpour - Scientific Data, 2025 - nature.com
Myoelectric control has emerged as a promising approach for a wide range of applications,
including controlling limb prosthetics, teleoperating robots and enabling immersive …

Estimating finger joint angles by surface EMG signal using feature extraction and transformer-based deep learning model

NAS Putro, C Avian, SW Prakosa, MI Mahali… - … Signal Processing and …, 2024 - Elsevier
Human-machine interfaces frequently use electromyography (EMG) signals. Based on
previous work, feature extraction has a great deal of influence on the performance of EMG …

Wearable upper limb robotics for pervasive health: A review

C Ochieze, S Zare, Y Sun - Progress in Biomedical Engineering, 2023 - iopscience.iop.org
Wearable robotics, also called exoskeletons, have been engineered for human-centered
assistance for decades. They provide assistive technologies for maintaining and improving …

RETRACTED: A Newly-Designed Wearable Robotic Hand Exoskeleton Controlled by EMG Signals and ROS Embedded Systems

IB Abdallah, Y Bouteraa - Robotics, 2023 - mdpi.com
One of the most difficult parts of stroke therapy is hand mobility recovery. Indeed, stroke is a
serious medical disorder that can seriously impair hand and locomotor movement. To …

[PDF][PDF] A Comprehensive Review of Electromyography in Rehabilitation: Detecting Interrupted Wrist and Hand Movements with a Robotic Arm Approach

K Savoji, M Soleimani… - EAI Endorsed Transactions …, 2024 - researchgate.net
Electromyography (EMG) is a diagnostic technique that measures the electrical activity
generated by skeletal muscles. Utilizing electrodes placed either on the skin (surface EMG) …