Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals

A Del Vecchio, A Holobar, D Falla, F Felici… - Journal of …, 2020 - Elsevier
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 …

A review of the key technologies for sEMG-based human-robot interaction systems

K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation

F Negro, S Muceli, AM Castronovo… - Journal of neural …, 2016 - iopscience.iop.org
Objective. The study of motor unit behavior has been classically performed by selective
recording systems of muscle electrical activity (EMG signals) and decomposition algorithms …

The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges

D Farina, N Jiang, H Rehbaum… - … on Neural Systems …, 2014 - ieeexplore.ieee.org
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 …

Wearable movement sensors for rehabilitation: a focused review of technological and clinical advances

F Porciuncula, AV Roto, D Kumar, I Davis, S Roy… - Pm&r, 2018 - Elsevier
Recent technologic advancements have enabled the creation of portable, low-cost, and
unobtrusive sensors with tremendous potential to alter the clinical practice of rehabilitation …

Analysis and biophysics of surface EMG for physiotherapists and kinesiologists: Toward a common language with rehabilitation engineers

L McManus, G De Vito, MM Lowery - Frontiers in neurology, 2020 - frontiersin.org
Recent decades have seen a move toward evidence-based medicine to inform the clinical
decision-making process with reproducible findings from high-quality research studies …

Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric

A Holobar, MA Minetto, D Farina - Journal of neural engineering, 2014 - iopscience.iop.org
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 …

The extraction of neural strategies from the surface EMG: an update

D Farina, R Merletti, RM Enoka - Journal of applied …, 2014 - journals.physiology.org
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 …

Principles of motor unit physiology evolve with advances in technology

D Farina, F Negro, S Muceli, RM Enoka - Physiology, 2016 - journals.physiology.org
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 …

Decoding the neural drive to muscles from the surface electromyogram

D Farina, A Holobar, R Merletti, RM Enoka - Clinical neurophysiology, 2010 - Elsevier
This brief review discusses the methods used to estimate the neural drive to muscles from
the surface electromyogram (EMG). Surface EMG has been classically used to infer the …