title: Detecting fatigue thresholds from electromyographic signals: A systematic review on approaches and methodologies.
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.
authors.affiliation: University of Graz, Institute of Sport Science, Austria. Electronic address: peter.ertl@uni-graz.at.
authors.forename: Peter
authors.initials: P
authors.lastname: Ertl
authors.affiliation: University of Graz, Institute of Sport Science, Austria.
authors.forename: Annika
authors.initials: A
authors.lastname: Kruse
authors.affiliation: University of Graz, Institute of Sport Science, Austria.
authors.forename: Markus
authors.initials: M
authors.lastname: Tilp
mesh_terms: D015308:Anaerobic Threshold; D004576:Electromyography / Q000379:methods* / Q000592:standards; D016552:Ergometry / Q000379:methods; D015444:Exercise; D005080:Exercise Test / Q000379:methods; D006801:Humans; D018763:Muscle Fatigue; D018482:Muscle, Skeletal / Q000502:physiology*
keywords: Aerobic-anaerobic transition; Constant workload; Cycling ergometer; Electromyographic threshold; Incremental exercise; Muscular fatigue; Review