reviewJournal of Applied PhysiologyOct 3, 2014GREEN OA

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

Bernstein Center for Computational Neuroscience Göttingen · Universitätsmedizin Göttingen · +2 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

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 source of information about neural activation of muscle. However, retrieving the embedded neural code from a surface EMG signal is extremely challenging. Most studies use indirect approaches in which selected features of the signal are interpreted as indicating certain characteristics of the neural code. These indirect associations are constrained by limitations that have been detailed previously (Farina D, Merletti R, Enoka RM. J Appl Physiol 96: 1486-1495, 2004) and are generally difficult to overcome. In an update on these issues,…

Citation impact

552
total citations
FWCI
15.58
Percentile
100%
References
110
Citations per year

Authors

3

Topics & keywords

Keywords
  • Motor unit
  • Coherence (philosophical gambling strategy)
  • Electromyography
  • Computer science
  • Artificial neural network
  • Electroencephalography
  • Neural coding
  • SIGNAL (programming language)
No related works found for this paper.