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 …
A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration
Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …
intention prediction, which is an essential element in human-robot collaboration systems …
Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands
Natural control methods based on surface electromyography (sEMG) and pattern
recognition are promising for hand prosthetics. However, the control robustness offered by …
recognition are promising for hand prosthetics. However, the control robustness offered by …
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 …
Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation
The intuitive control of upper-limb prostheses requires a man/machine interface that directly
exploits biological signals. Here, we define and experimentally test an offline man/machine …
exploits biological signals. Here, we define and experimentally test an offline man/machine …
[HTML][HTML] Current state of digital signal processing in myoelectric interfaces and related applications
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
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 …
Prosthetic myoelectric control strategies: a clinical perspective
Control algorithms for upper limb myoelectric prostheses have been in development since
the mid-1940s. Despite advances in computing power and in the performance of these …
the mid-1940s. Despite advances in computing power and in the performance of these …
New developments in prosthetic arm systems
Absence of an upper limb leads to severe impairments in everyday life, which can further
influence the social and mental state. For these reasons, early developments in cosmetic …
influence the social and mental state. For these reasons, early developments in cosmetic …