Consensus for experimental design in electromyography (CEDE) project: Single motor unit matrix. (February 2023)
- Record Type:
- Journal Article
- Title:
- Consensus for experimental design in electromyography (CEDE) project: Single motor unit matrix. (February 2023)
- Main Title:
- Consensus for experimental design in electromyography (CEDE) project: Single motor unit matrix
- Authors:
- Martinez-Valdes, Eduardo
Enoka, Roger M.
Holobar, Aleš
McGill, Kevin
Farina, Dario
Besomi, Manuela
Hug, François
Falla, Deborah
Carson, Richard G.
Clancy, Edward A.
Disselhorst-Klug, Catherine
van Dieën, Jaap H.
Tucker, Kylie
Gandevia, Simon
Lowery, Madeleine
Søgaard, Karen
Besier, Thor
Merletti, Roberto
Kiernan, Matthew C.
Rothwell, John C.
Perreault, Eric
Hodges, Paul W. - Abstract:
- 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.
- Is Part Of:
- Journal of electromyography and kinesiology. Volume 68(2023)
- Journal:
- Journal of electromyography and kinesiology
- Issue:
- Volume 68(2023)
- Issue Display:
- Volume 68, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 68
- Issue:
- 2023
- Issue Sort Value:
- 2023-0068-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-02
- Subjects:
- Motor unit -- Motor neuron -- High-density surface electromyography -- Intramuscular electromyography
CDI Common drive index -- CIS Common input strength -- CKC Convolution kernel compensation -- CUSUM Cumulative sum -- DSDC Decompose-synthesise-decompose-compare -- ISI Inter-spike interval -- SMU Single motor unit -- MUAP Motor unit action potential -- MVC Maximum voluntary contraction -- SIL Silhouette threshold -- PNR Pulse to noise ratio
Electromyography -- Periodicals
Kinesiology -- Periodicals
Electromyography -- Periodicals
Movement -- physiology -- Periodicals
Muscles -- physiology -- Periodicals
Électromyographie -- Périodiques
Cinésiologie -- Périodiques
Electromyography
Kinesiology
Electronic journals
Periodicals
616.740757 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10506411 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/10506411 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jelekin.2022.102726 ↗
- Languages:
- English
- ISSNs:
- 1050-6411
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4974.855000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25109.xml