Consensus for experimental design in electromyography (CEDE) project: Amplitude normalization 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:
Aug 2020
Historique:
received: 09 04 2020
revised: 03 06 2020
accepted: 05 06 2020
pubmed: 23 6 2020
medline: 11 11 2020
entrez: 23 6 2020
Statut: ppublish

Résumé

The general purpose of normalization of EMG amplitude is to enable comparisons between participants, muscles, measurement sessions or electrode positions. Normalization is necessary to reduce the impact of differences in physiological and anatomical characteristics of muscles and surrounding tissues. Normalization of the EMG amplitude provides information about the magnitude of muscle activation relative to a reference value. It is essential to select an appropriate method for normalization with specific reference to how the EMG signal will be interpreted, and to consider how the normalized EMG amplitude may change when interpreting it under specific conditions. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, presents six approaches to EMG normalization: (1) Maximal voluntary contraction (MVC) in same task/context as the task of interest, (2) Standardized isometric MVC (which is not necessarily matched to the contraction type in the task of interest), (3) Standardized submaximal task (isometric/dynamic) that can be task-specific, (4) Peak/mean EMG amplitude in task, (5) Non-normalized, and (6) Maximal M-wave. General considerations for normalization, features that should be reported, definitions, and "pros and cons" of each normalization approach are presented first. This information is followed by recommendations for specific experimental contexts, along with an explanation of the factors that determine the suitability of a method, and frequently asked questions. This matrix is intended to help researchers when selecting, reporting and interpreting EMG amplitude data.

Identifiants

pubmed: 32569878
pii: S1050-6411(20)30080-8
doi: 10.1016/j.jelekin.2020.102438
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102438

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None declared.

Auteurs

Manuela Besomi (M)

School of Health and Rehabilitation 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.

Edward A Clancy (EA)

Worcester Polytechnic Institute, Worcester, MA, USA.

Jaap Van Dieën (J)

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

François Hug (F)

School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Faculty of Sport Sciences, Laboratory "Movement, Interactions, Performance" (EA 4334), University of Nantes, Nantes, France; Institut Universitaire de France (IUF), Paris, France.

Madeleine Lowery (M)

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

Roberto Merletti (R)

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

Karen Søgaard (K)

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

Tim Wrigley (T)

Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, University of Melbourne, Parkville, Australia.

Thor Besier (T)

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

Richard G Carson (RG)

Trinity College Institute of Neuroscience, 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, Australia.

Catherine Disselhorst-Klug (C)

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

Roger M Enoka (RM)

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

Deborah Falla (D)

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

Dario Farina (D)

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

Simon Gandevia (S)

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

Aleš Holobar (A)

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

Matthew C Kiernan (MC)

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

Kevin McGill (K)

US Department of Veterans Affairs, USA.

Eric Perreault (E)

Northwestern University, Evanston, IL, USA; Shirley Ryan AbilityLab, Chicago, IL, USA.

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.

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Classifications MeSH