Consensus for experimental design in electromyography (CEDE) project: single motor unit matrix
File(s)
Accepted version
Author(s)
Type
Journal Article
Abstract
The analysis of single motor unit (SMU) activity provides the foundation from which information about the neural strategies underlying the control of muscle force can be identified, due to the one-to-one association between the action potentials generated by an alpha motor neuron and those received by the innervated muscle fibers. Such a powerful assessment has been conventionally performed with invasive electrodes (i.e., intramuscular electromyography (EMG)), however, recent advances in signal processing techniques have enabled the identification of single motor unit (SMU) activity in high-density surface electromyography (HDsEMG) recordings. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, provides recommendations for the recording and analysis of SMU activity with both invasive (needle and fine-wire EMG) and non-invasive (HDsEMG) SMU identification methods, summarizing their advantages and disadvantages when used during different testing conditions. Recommendations for the analysis and reporting of discharge rate and peripheral (i.e., muscle fiber conduction velocity) SMU properties are also provided. The results of the Delphi process to reach consensus are contained in an appendix. This matrix is intended to help researchers to collect, report, and interpret SMU data in the context of both research and clinical applications.
Date Issued
2023-02-01
Date Acceptance
2022-11-16
Citation
Journal of Electromyography and Kinesiology, 2023, 68
ISSN
1050-6411
Publisher
Elsevier BV
Journal / Book Title
Journal of Electromyography and Kinesiology
Volume
68
Copyright Statement
Copyright © Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/36571885
PII: S1050-6411(22)00099-2
Subjects
High-density surface electromyography
Intramuscular electromyography
Motor neuron
Motor unit
Humans
Electromyography
Muscle, Skeletal
Research Design
Motor Neurons
Action Potentials
Publication Status
Published
Coverage Spatial
England
Article Number
102726
Date Publish Online
2022-11-28