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 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 …
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 …
A novel framework based on FastICA for high density surface EMG decomposition
M Chen, P Zhou - IEEE Transactions on Neural Systems and …, 2015 - ieeexplore.ieee.org
This study presents a progressive FastICA peel-off (PFP) framework for high-density surface
electromyogram (EMG) decomposition. The novel framework is based on a shift-invariant …
electromyogram (EMG) decomposition. The novel framework is based on a shift-invariant …
Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators
There is a growing interest in decomposing high-density surface electromyography
(HDsEMG) into motor unit spike trains to improve knowledge on the neural control of muscle …
(HDsEMG) into motor unit spike trains to improve knowledge on the neural control of muscle …
Less common synaptic input between muscles from the same group allows for more flexible coordination strategies during a fatiguing task
This study aimed to determine whether neural drive is redistributed between muscles during
a fatiguing isometric contraction, and if so, whether the initial level of common synaptic input …
a fatiguing isometric contraction, and if so, whether the initial level of common synaptic input …
Blind source identification from the multichannel surface electromyogram
The spinal circuitries combine the information flow from the supraspinal centers with the
afferent input to generate the neural codes that drive the human skeletal muscles. The …
afferent input to generate the neural codes that drive the human skeletal muscles. The …
High-density surface electromyography provides reliable estimates of motor unit behavior
Objective To assess the intra-and inter-session reliability of estimates of motor unit behavior
and muscle fiber properties derived from high-density surface electromyography (HDEMG) …
and muscle fiber properties derived from high-density surface electromyography (HDEMG) …
Surface electromyography: what limits its use in exercise and sport physiology?
F Felici, A Del Vecchio - Frontiers in neurology, 2020 - frontiersin.org
The aim of the present paper is to examine to what extent the application of surface
electromyography (sEMG) in the field of exercise and, more in general, of human movement …
electromyography (sEMG) in the field of exercise and, more in general, of human movement …
A convolutional neural network to identify motor units from high-density surface electromyography signals in real time
Objectives. This paper aims to investigate the feasibility and the validity of applying deep
convolutional neural networks (CNN) to identify motor unit (MU) spike trains and estimate …
convolutional neural networks (CNN) to identify motor unit (MU) spike trains and estimate …