Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals
Recent work demonstrated that it is possible to identify motor unit discharge times from high-
density surface EMG (HDEMG) decomposition. Since then, the number of studies that use …
density surface EMG (HDEMG) decomposition. Since then, the number of studies that use …
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 …
Stretchable array electromyography sensor with graph neural network for static and dynamic gestures recognition system
With advances in artificial intelligence (AI)-based algorithms, gesture recognition accuracy
from sEMG signals has continued to increase. Spatiotemporal multichannel-sEMG signals …
from sEMG signals has continued to increase. Spatiotemporal multichannel-sEMG signals …
Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation
Objective. The study of motor unit behavior has been classically performed by selective
recording systems of muscle electrical activity (EMG signals) and decomposition algorithms …
recording systems of muscle electrical activity (EMG signals) and decomposition algorithms …
Blind identification of the spinal cord output in humans with high-density electrode arrays implanted in muscles
Invasive electromyography opened a new window to explore motoneuron behavior in vivo.
However, the technique is limited by the small fraction of active motoneurons that can be …
However, the technique is limited by the small fraction of active motoneurons that can be …
Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric
Objective. A signal-based metric for assessment of accuracy of motor unit (MU) identification
from high-density surface electromyograms (EMG) is introduced. This metric, so-called pulse …
from high-density surface electromyograms (EMG) is introduced. This metric, so-called pulse …
The extraction of neural strategies from the surface EMG: an update
A surface EMG signal represents the linear transformation of motor neuron discharge times
by the compound action potentials of the innervated muscle fibers and is often used as a …
by the compound action potentials of the innervated muscle fibers and is often used as a …
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 …
[PDF][PDF] Motor unit
CJ Heckman, RM Enoka - Comprehensive physiology, 2012 - drive.google.com
Movement is accomplished by the controlled activation of motor unit populations. Our
understanding of motor unit physiology has been derived from experimental work on the …
understanding of motor unit physiology has been derived from experimental work on the …
Principles of motor unit physiology evolve with advances in technology
Movements are generated by the coordinated activation of motor units. Recent technological
advances have made it possible to identify the concurrent activity of several tens of motor …
advances have made it possible to identify the concurrent activity of several tens of motor …