Literature DB >> 27529668

Detecting fatigue thresholds from electromyographic signals: A systematic review on approaches and methodologies.

Peter Ertl1, Annika Kruse2, Markus Tilp2.   

Abstract

The aim of the current paper was to systematically review the relevant existing electromyographic threshold concepts within the literature. The electronic databases MEDLINE and SCOPUS were screened for papers published between January 1980 and April 2015 including the keywords: neuromuscular fatigue threshold, anaerobic threshold, electromyographic threshold, muscular fatigue, aerobic-anaerobictransition, ventilatory threshold, exercise testing, and cycle-ergometer. 32 articles were assessed with regard to their electromyographic methodologies, description of results, statistical analysis and test protocols. Only one article was of very good quality. 21 were of good quality and two articles were of very low quality. The review process revealed that: (i) there is consistent evidence of one or two non-linear increases of EMG that might reflect the additional recruitment of motor units (MU) or different fiber types during fatiguing cycle ergometer exercise, (ii) most studies reported no statistically significant difference between electromyographic and metabolic thresholds, (iii) one minute protocols with increments between 10 and 25W appear most appropriate to detect muscular threshold, (iv) threshold detection from the vastus medialis, vastus lateralis, and rectus femoris is recommended, and (v) there is a great variety in study protocols, measurement techniques, and data processing. Therefore, we recommend further research and standardization in the detection of EMGTs.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aerobic-anaerobic transition; Constant workload; Cycling ergometer; Electromyographic threshold; Incremental exercise; Muscular fatigue; Review

Mesh:

Year:  2016        PMID: 27529668     DOI: 10.1016/j.jelekin.2016.08.002

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


  5 in total

1.  Characteristics of motor unit recruitment in boys and men at maximal and submaximal force levels.

Authors:  Emeric Chalchat; Enzo Piponnier; Bastien Bontemps; Valérie Julian; Olivia Bocock; Martine Duclos; Sébastien Ratel; Vincent Martin
Journal:  Exp Brain Res       Date:  2019-03-11       Impact factor: 1.972

2.  Fatigue-independent alterations in muscle activation and effort perception during forearm exercise: role of local oxygen delivery.

Authors:  P J Drouin; Z I N Kohoko; O K Mew; M J T Lynn; A M Fenuta; M E Tschakovsky
Journal:  J Appl Physiol (1985)       Date:  2019-05-09

3.  A Novel Method for Classification of Running Fatigue Using Change-Point Segmentation.

Authors:  Taha Khan; Lina E Lundgren; Eric Järpe; M Charlotte Olsson; Pelle Viberg
Journal:  Sensors (Basel)       Date:  2019-10-31       Impact factor: 3.576

4.  Electrical activity and fatigue of respiratory and locomotor muscles in obstructive respiratory diseases during field walking test.

Authors:  Jéssica D Cavalcanti; Guilherme Augusto F Fregonezi; Antonio J Sarmento; Thiago Bezerra; Lucien P Gualdi; Francesca Pennati; Andrea Aliverti; Vanessa R Resqueti
Journal:  PLoS One       Date:  2022-04-01       Impact factor: 3.240

5.  Surface Electromyography Thresholds as a Measure for Performance Fatigability During Incremental Cycling in Patients With Neuromuscular Disorders.

Authors:  Nicoline B M Voet; Christiaan G J Saris; Dick H J Thijssen; Vincent Bastiaans; David E Sluijs; Mariska M H P Janssen
Journal:  Front Physiol       Date:  2022-03-17       Impact factor: 4.566

  5 in total

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