Consensus for experimental design in electromyography (CEDE) project: Electrode selection matrix.
Consensus
Electrode types
Electromyography
Recording
Reporting
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:
Oct 2019
Oct 2019
Historique:
received:
11
04
2019
revised:
08
07
2019
accepted:
17
07
2019
pubmed:
29
7
2019
medline:
23
11
2019
entrez:
29
7
2019
Statut:
ppublish
Résumé
The Consensus for Experimental Design in Electromyography (CEDE) project is an international initiative which aims to guide decision-making in recording, analysis, and interpretation of electromyographic (EMG) data. The quality of the EMG recording, and validity of its interpretation depend on many characteristics of the recording set-up and analysis procedures. Different electrode types (i.e., surface and intramuscular) will influence the recorded signal and its interpretation. This report presents a matrix to consider the best electrode type selection for recording EMG, and the process undertaken to achieve consensus. Four electrode types were considered: (1) conventional surface electrode, (2) surface matrix or array electrode, (3) fine-wire electrode, and (4) needle electrode. General features, pros, and cons of each electrode type are presented first. This information is followed by recommendations for specific types of muscles, the information that can be estimated, the typical representativeness of the recording and the types of contractions for which the electrode is best suited. This matrix is intended to help researchers when selecting and reporting the electrode type in EMG studies.
Identifiants
pubmed: 31352156
pii: S1050-6411(19)30128-2
doi: 10.1016/j.jelekin.2019.07.008
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
128-144Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.