Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future
W Li, P Shi, H Yu - Frontiers in neuroscience, 2021 - frontiersin.org
Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …
and limits their performance in activities of daily life. The realization of natural control for …
The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges
Despite not recording directly from neural cells, the surface electromyogram (EMG) signal
contains information on the neural drive to muscles, ie, the spike trains of motor neurons …
contains information on the neural drive to muscles, ie, the spike trains of motor neurons …
Improving the performance against force variation of EMG controlled multifunctional upper-limb prostheses for transradial amputees
AH Al-Timemy, RN Khushaba… - … on Neural Systems …, 2015 - ieeexplore.ieee.org
We investigate the problem of achieving robust control of hand prostheses by the
electromyogram (EMG) of transradial amputees in the presence of variable force levels, as …
electromyogram (EMG) of transradial amputees in the presence of variable force levels, as …
Intelligent EMG pattern recognition control method for upper-limb multifunctional prostheses: advances, current challenges, and future prospects
Upper-limb amputation imposes significant burden on amputees thereby restricting them
from fully exploring their environments during activities of daily living. The use of intelligent …
from fully exploring their environments during activities of daily living. The use of intelligent …
Classification of finger movements for the dexterous hand prosthesis control with surface electromyography
AH Al-Timemy, G Bugmann… - IEEE journal of …, 2013 - ieeexplore.ieee.org
A method for the classification of finger movements for dexterous control of prosthetic hands
is proposed. Previous research was mainly devoted to identify hand movements as these …
is proposed. Previous research was mainly devoted to identify hand movements as these …
Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements
Background Myoelectric pattern recognition systems can decode movement intention to
drive upper-limb prostheses. Despite recent advances in academic research, the …
drive upper-limb prostheses. Despite recent advances in academic research, the …
A survey of sensor fusion methods in wearable robotics
Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …
Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control
Background Although electromyogram (EMG) pattern recognition (PR) for multifunctional
upper limb prosthesis control has been reported for decades, the clinical benefits have …
upper limb prosthesis control has been reported for decades, the clinical benefits have …
A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees
Background Most of the modern motorized prostheses are controlled with the surface
electromyography (sEMG) recorded on the residual muscles of amputated limbs. However …
electromyography (sEMG) recorded on the residual muscles of amputated limbs. However …
Current trends and confounding factors in myoelectric control: Limb position and contraction intensity
This manuscript presents a hybrid study of a comprehensive review and a systematic
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …