Recent trends and challenges of surface electromyography in prosthetic applications

D Yadav, K Veer - Biomedical Engineering Letters, 2023 - Springer
Surface electromyography (sEMG) meets extensive applications in the field of prosthesis in
the current period. The effectiveness of sEMG in prosthesis applications has been verified by …

Surface EMG data aggregation processing for intelligent prosthetic action recognition

C Li, G Li, G Jiang, D Chen, H Liu - Neural Computing and Applications, 2020 - Springer
In the current development and design of sports rehabilitation equipment or biomimetic
prostheses, in addition to pay attention to the development and design of the structure, the …

Electromyography-based control of lower limb prostheses: a systematic review

B Ahkami, K Ahmed, A Thesleff… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Most amputations occur in lower limbs and despite improvements in prosthetic technology,
no commercially available prosthetic leg uses electromyography (EMG) information as an …

Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time

C Chen, Y Yu, X Sheng, D Farina… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Surface electromyography (EMG) decomposition techniques can be used to
establish human-machine interfacing (HMI), but most investigations are implemented offline …

Assistive robotic exoskeleton using recurrent neural networks for decision taking for the robust trajectory tracking

R Fuentes-Alvarez, JH Hernandez… - Expert Systems with …, 2022 - Elsevier
The development of exoskeletons has contributed to the rehabilitation of the population with
different degrees of disability. These devices contemplate some feedback signals for their …

Real-time hand gesture recognition by decoding motor unit discharges across multiple motor tasks from surface electromyography

C Chen, Y Yu, X Sheng, J Meng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Objective. Surface electromyography (EMG) decomposition techniques have been
developed to decode motor neuron activities non-invasively in the past decades, showing …

Prediction of finger kinematics from discharge timings of motor units: Implications for intuitive control of myoelectric prostheses

C Chen, G Chai, WC Guo, X Sheng… - Journal of neural …, 2019 - iopscience.iop.org
Objective. The aim of the study was to characterize the accuracy in the identification of motor
unit discharges during natural movements using high-density electromyography (EMG) …

Non-invasive analysis of motor unit activation during simultaneous and continuous wrist movements

C Chen, Y Yu, X Sheng, X Zhu - IEEE Journal of Biomedical …, 2021 - ieeexplore.ieee.org
Surface electromyography (EMG) signals have shown promising applications in human-
machine interfacing (HMI) systems such as orthotics, prosthetics, and exoskeletons …

Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition

C Wei, H Wang, F Hu, B Zhou, N Feng, Y Lu… - … signal processing and …, 2022 - Elsevier
Currently, many researchers tend to use multi-channel surface electromyography (sEMG)
signals to improve the accuracy of lower limb movement recognition. However, the collection …

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

C Chen, Y Yu, X Sheng, J Meng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The surface electromyography (EMG) decomposition techniques provide access to motor
neuron activities and have been applied to myoelectric control schemes. However, the …