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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 …
Skeletal muscle performance and ageing
The world population is ageing rapidly. As society ages, the incidence of physical limitations
is dramatically increasing, which reduces the quality of life and increases healthcare …
is dramatically increasing, which reduces the quality of life and increases healthcare …
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 …
Interpreting signal amplitudes in surface electromyography studies in sport and rehabilitation sciences
Surface electromyography (sEMG) is a popular research tool in sport and rehabilitation
sciences. Common study designs include the comparison of sEMG amplitudes collected …
sciences. Common study designs include the comparison of sEMG amplitudes collected …
Rate of force development: physiological and methodological considerations
The evaluation of rate of force development during rapid contractions has recently become
quite popular for characterising explosive strength of athletes, elderly individuals and …
quite popular for characterising explosive strength of athletes, elderly individuals and …
Real-time hand gesture recognition using surface electromyography and machine learning: A systematic literature review
Today, daily life is composed of many computing systems, therefore interacting with them in
a natural way makes the communication process more comfortable. Human–Computer …
a natural way makes the communication process more comfortable. Human–Computer …
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 …
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 …
Surface EMG hand gesture recognition system based on PCA and GRNN
J Qi, G Jiang, G Li, Y Sun, B Tao - Neural Computing and Applications, 2020 - Springer
The principal component analysis method and GRNN neural network are used to construct
the gesture recognition system, so as to reduce the redundant information of EMG signals …
the gesture recognition system, so as to reduce the redundant information of EMG signals …
Force steadiness: from motor units to voluntary actions
Voluntary actions are controlled by the synaptic inputs that are shared by pools of spinal
motor neurons. The slow common oscillations in the discharge times of motor units due to …
motor neurons. The slow common oscillations in the discharge times of motor units due to …