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 …

Technology and instrumentation for detection and conditioning of the surface electromyographic signal: state of the art

R Merletti, A Botter, A Troiano, E Merlo, MA Minetto - Clinical biomechanics, 2009 - Elsevier
The aim of this review is to present the state of the art of the technology of detection and
conditioning systems for surface electromyography (sEMG). The first part of the manuscript …

2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

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 …

Analysis of motor units with high-density surface electromyography

R Merletti, A Holobar, D Farina - Journal of electromyography and …, 2008 - Elsevier
Although the behaviour of individual motor units is classically studied with intramuscular
EMG signals, recently developed techniques allow its analysis also from EMG signals …

Clinical applications of high-density surface EMG: a systematic review

G Drost, DF Stegeman, BGM van Engelen… - … of Electromyography and …, 2006 - Elsevier
High density-surface EMG (HD-sEMG) is a non-invasive technique to measure electrical
muscle activity with multiple (more than two) closely spaced electrodes overlying a restricted …

Estimating motor unit discharge patterns from high-density surface electromyogram

A Holobar, D Farina, M Gazzoni, R Merletti… - Clinical …, 2009 - Elsevier
OBJECTIVE: We systematically tested the capability of the Convolution Kernel
Compensation (CKC) method to identify motor unit (MU) discharge patterns from the …

Experimental analysis of accuracy in the identification of motor unit spike trains from high-density surface EMG

A Holobar, MA Minetto, A Botter… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
The aim of this study was to compare the decomposition results obtained from high-density
surface electromyography (EMG) and concurrently recorded intramuscular EMG. Surface …

Consensus for experimental design in electromyography (CEDE) project: High-density surface electromyography matrix

A Gallina, C Disselhorst-Klug, D Farina… - Journal of …, 2022 - Elsevier
High-density surface electromyography (HDsEMG) can be used to measure the spatial
distribution of electrical muscle activity over the skin. As this distribution is associated with …

Physiological validation of the decomposition of surface EMG signals

RM Enoka - Journal of Electromyography and Kinesiology, 2019 - Elsevier
Advances in technology have ushered in a new era in the measurement and interpretation
of surface-recorded electromyographic (EMG) signals. These developments have included …