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


Journal

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
ISSN: 1873-5711
Titre abrégé: J Electromyogr Kinesiol
Pays: England
ID NLM: 9109125

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 29 11 2021
revised: 27 02 2022
accepted: 11 03 2022
pubmed: 29 3 2022
medline: 1 6 2022
entrez: 28 3 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35344841
pii: S1050-6411(22)00029-3
doi: 10.1016/j.jelekin.2022.102656
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102656

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Alessio Gallina (A)

Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, UK.

Catherine Disselhorst-Klug (C)

Department of Rehabilitation and Prevention Engineering, Institute of Applied Medical Engineering, RWTH Aachen University, Aachen, Germany.

Dario Farina (D)

Department of Bioengineering, Imperial College London, London, UK.

Roberto Merletti (R)

LISiN, Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy.

Manuela Besomi (M)

School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; School of Biomedical Sciences, The University of Queensland, Brisbane, Australia.

Aleš Holobar (A)

Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, Maribor, Slovenia.

Roger M Enoka (RM)

Department of Integrative Physiology, University of Colorado Boulder, CO, USA.

François Hug (F)

School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; LAMHESS, Université Côte d'Azur, Nice, France; Institut Universitaire de France (IUF), Paris, France.

Deborah Falla (D)

Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, UK.

Karen Søgaard (K)

Department of Clinical Research and Department of Sports Sciences and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.

Kevin McGill (K)

US Department of Veterans Affairs.

Edward A Clancy (EA)

Worcester Polytechnic Institute, Worcester, MA, USA.

Richard G Carson (RG)

Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin, Dublin, Ireland; School of Psychology, Queen's University Belfast, Belfast, UK; School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia.

Jaap H van Dieën (JH)

Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.

Simon Gandevia (S)

Neuroscience Research Australia, University of New South Wales, Sydney, Australia.

Madeleine Lowery (M)

School of Electrical and Electronic Engineering, University College Dublin, Belfield, Dublin 4, Ireland.

Thor Besier (T)

Auckland Bioengineering Institute and Department of Engineering Science, University of Auckland, Auckland, New Zealand.

Matthew C Kiernan (MC)

Brain and Mind Centre, University of Sydney, Sydney, Australia, Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia.

John C Rothwell (JC)

Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, UK.

Kylie Tucker (K)

School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; School of Biomedical Sciences, The University of Queensland, Brisbane, Australia.

Paul W Hodges (PW)

School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia. Electronic address: p.hodges@uq.edu.au.

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Classifications MeSH