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

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 the generation and propagation of muscle fiber action potentials, HDsEMG is processed to extract information on regional...

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Veröffentlicht in:Journal of electromyography and kinesiology 2022-06, Vol.64, p.102656-102656, Article 102656
Hauptverfasser: Gallina, Alessio, Disselhorst-Klug, Catherine, Farina, Dario, Merletti, Roberto, Besomi, Manuela, Holobar, Aleš, Enoka, Roger M., Hug, François, Falla, Deborah, Søgaard, Karen, McGill, Kevin, Clancy, Edward A., Carson, Richard G., van Dieën, Jaap H., Gandevia, Simon, Lowery, Madeleine, Besier, Thor, Kiernan, Matthew C., Rothwell, John C., Tucker, Kylie, Hodges, Paul W.
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Sprache:eng
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Zusammenfassung: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 the generation and propagation of muscle fiber action potentials, HDsEMG is processed to extract information on regional muscle activation, muscle fiber characteristics and behaviour of individual motor units. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, summarizes recommendations on the use of HDsEMG in experimental studies. For each application, recommendations are included regarding electrode montage, electrode type and configuration, electrode location and orientation, data analysis, and interpretation. Cautions and reporting standards are also included. The steps of the Delphi process to reach consensus are contained in an appendix. This matrix is intended to help researchers when collecting, reporting, and interpreting HDsEMG data. It is hoped that this document will be used to generate new empirical evidence to improve how HDsEMG is used in research and in clinical applications.
ISSN:1050-6411
1873-5711
DOI:10.1016/j.jelekin.2022.102656