Literature DB >> 31352156

Consensus for experimental design in electromyography (CEDE) project: Electrode selection matrix.

Manuela Besomi1, Paul W Hodges2, Jaap Van Dieën3, Richard G Carson4, Edward A Clancy5, Catherine Disselhorst-Klug6, Aleš Holobar7, François Hug8, Matthew C Kiernan9, Madeleine Lowery10, Kevin McGill11, Roberto Merletti12, Eric Perreault13, Karen Søgaard14, Kylie Tucker15, Thor Besier16, Roger Enoka17, Deborah Falla18, Dario Farina19, Simon Gandevia20, John C Rothwell21, Bill Vicenzino1, Tim Wrigley22.   

Abstract

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Consensus; Electrode types; Electromyography; Recording; Reporting

Mesh:

Year:  2019        PMID: 31352156     DOI: 10.1016/j.jelekin.2019.07.008

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  14 in total

1.  Comparison between the Original- and a Standardized Version of a Physical Assessment Test for the Dorsal Chain - A Cohort-Based Cross Sectional Study.

Authors:  Anna Gabriel; Florian Kurt Paternoster; Andreas Konrad; Thomas Horstmann; Torsten Pohl
Journal:  J Sports Sci Med       Date:  2022-06-01       Impact factor: 4.017

Review 2.  Fundamental Concepts of Bipolar and High-Density Surface EMG Understanding and Teaching for Clinical, Occupational, and Sport Applications: Origin, Detection, and Main Errors.

Authors:  Isabella Campanini; Andrea Merlo; Catherine Disselhorst-Klug; Luca Mesin; Silvia Muceli; Roberto Merletti
Journal:  Sensors (Basel)       Date:  2022-05-30       Impact factor: 3.847

3.  Influence of Feet Position and Execution Velocity on Muscle Activation and Kinematic Parameters During the Inclined Leg Press Exercise.

Authors:  Isabel Martín-Fuentes; José M Oliva-Lozano; José M Muyor
Journal:  Sports Health       Date:  2021-06-04       Impact factor: 4.355

4.  Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users.

Authors:  Elisa Romero Avila; Elmar Junker; Catherine Disselhorst-Klug
Journal:  Sensors (Basel)       Date:  2020-12-21       Impact factor: 3.576

5.  Critical Issues and Imminent Challenges in the Use of sEMG in Return-To-Work Rehabilitation of Patients Affected by Neurological Disorders in the Epoch of Human-Robot Collaborative Technologies.

Authors:  Alberto Ranavolo; Mariano Serrao; Francesco Draicchio
Journal:  Front Neurol       Date:  2020-12-22       Impact factor: 4.003

6.  Editorial: Surface Electromyography: Barriers Limiting Widespread Use of sEMG in Clinical Assessment and Neurorehabilitation.

Authors:  Roberto Merletti; Isabella Campanini; William Z Rymer; Catherine Disselhorst-Klug
Journal:  Front Neurol       Date:  2021-02-12       Impact factor: 4.003

7.  Effects of trunk anterior tilt and knee joint flexion angle changes on muscle activity in the lower limb muscles.

Authors:  Hideaki Muraoka; Toshiaki Suzuki
Journal:  J Phys Ther Sci       Date:  2021-06-18

8.  Frontal plane ankle stiffness increases with weight-bearing.

Authors:  Marie Matos; Eric J Perreault; Daniel Ludvig
Journal:  J Biomech       Date:  2021-06-11       Impact factor: 2.789

9.  Barriers to sEMG Assessment During Overground Robot-Assisted Gait Training in Subacute Stroke Patients.

Authors:  Michela Goffredo; Francesco Infarinato; Sanaz Pournajaf; Paola Romano; Marco Ottaviani; Leonardo Pellicciari; Daniele Galafate; Debora Gabbani; Annalisa Gison; Marco Franceschini
Journal:  Front Neurol       Date:  2020-10-19       Impact factor: 4.003

10.  Analysis and Biophysics of Surface EMG for Physiotherapists and Kinesiologists: Toward a Common Language With Rehabilitation Engineers.

Authors:  Lara McManus; Giuseppe De Vito; Madeleine M Lowery
Journal:  Front Neurol       Date:  2020-10-15       Impact factor: 4.003

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