Cited by 684Muscle activation and electromyography studiesMuscle Physiology and DisordersNeuroscience and Neural Engineering

Physiology and Mathematics of Myoelectric Signals

De Luca, Carlo J.·1979·IEEE Transactions on Biomedical Engineering

Abstract

The myoelectric (ME) signal is the electrical manifestation of the neuromuscular activation associated with a contracting muscle. It is an exceedingly complicated signal which is affected by the anatomical and physiological properties of muscles, the control scheme of the peripheral nervous system, as well as the characteristics of the instrumentation that is used to detect and observe it. Most of the relationships between the ME signal and the properties of a contracting muscle which are presently employed have evolved serendipitously. The lack of a proper description of the ME signal is probably the greatest single factor which has hampered the development of electromyography (EMG) into a precise discipline.

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Crossref · 10.1109/tbme.1979.326534

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Authors
De Luca, C. J.
Venue
IEEE Transactions on Biomedical Engineering
Published
1979-06
Volume
BME-26
Issue
6
Pages
313-325
ISSN
0018-9294 (ISSN-L)
OpenAlex
W2118395035
Cited by
684
References
74
Citations by year
2026: 7 · 2025: 4 · 2024: 16 · 2023: 21 · 2022: 14 · 2021: 18 · 2020: 23 · 2019: 22 · 2018: 19 · 2017: 10 · 2016: 35 · 2015: 30 · 2014: 20 · 2013: 15 · 2012: 20
FWCI
12.78
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Transactions on Biomedical Engineering (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
Keywords
myoelectric signals, electromyography, neuromuscular activation, muscle contraction, muscle physiology
MeSH terms
Action Potentials, Electromyography, Electrophysiology, Humans, Mathematics, Models, Neurological, Motor Neurons, Muscle Contraction, Muscles, Recruitment, Neurophysiological

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