Literature DB >> 26957938

Limitations of Spectral Electromyogramic Analysis to Determine the Onset of Neuromuscular Fatigue Threshold during Incremental Ergometer Cycling.

Iban Latasa1, Alfredo Cordova2, Armando Malanda1, Javier Navallas1, Ana Lavilla-Oiz3, Javier Rodriguez-Falces1.   

Abstract

Recently, a new method has been proposed to detect the onset of neuromuscular fatigue during an incremental cycling test by assessing the changes in spectral electromyographic (sEMG) frequencies within individual exercise periods of the test. The method consists on determining the highest power output that can be sustained without a significant decrease in spectral frequencies. This study evaluated the validity of the new approach by assessing the changes in spectral indicators both throughout the whole test and within individual exercise periods of the test. Fourteen cyclists performed incremental cycle ergometer rides to exhaustion with bipolar surface EMG signals recorded from the vastus lateralis. The mean and median frequencies (Fmean and Fmedian, respectively) of the sEMG power spectrum were calculated. The main findings were: (1) Examination of spectral indicators within individual exercise periods of the test showed that neither Fmean nor Fmedian decreased significantly during the last (most fatiguing) exercise periods. (2) Examination of the whole incremental test showed that the behaviour of Fmean and Fmedian with increasing power output was highly inconsistent and varied greatly among subjects. (3) Over the whole incremental test, half of the participants exhibited a positive relation between spectral indicators and workload, whereas the other half demonstrated the opposite behavior. Collectively, these findings indicate that spectral sEMG indexes do not provide a reliable measure of the fatigue state of the muscle during an incremental cycling test. Moreover, it is concluded that it is not possible to determine the onset of neuromuscular fatigue during an incremental cycling test by examining spectral indicators within individual exercise periods of the test. Key pointsThe behaviour of spectral EMG indicators during the incremental test exhibited a high heterogeneity among individuals, with approximately half of the participants showing a positive relation between spectral indicators and workload and the other half showing the opposite behaviour.None of the spectral EMG indicators examined (Fmean nor Fmedian) decreased significantly between the ventilatory threshold and the highest power output.Examination of spectral indicators within individual exercise periods of the test showed that neither Fmean nor Fmedian decreased significantly during the last (most fatiguing) exercise periods.

Entities:  

Keywords:  Cycling; motor unit recruitment; neuromuscular fatigue; spectral EMG analysis; surface electromyography

Year:  2016        PMID: 26957938      PMCID: PMC4763834     

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  38 in total

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Journal:  Eur J Appl Physiol       Date:  2004-04-20       Impact factor: 3.078

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Journal:  J Strength Cond Res       Date:  2013-02       Impact factor: 3.775

3.  An EMG frequency-based test for estimating the neuromuscular fatigue threshold during cycle ergometry.

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Journal:  Eur J Appl Physiol       Date:  2009-10-08       Impact factor: 3.078

4.  Evaluation of Electromyographic Frequency Domain Changes during a Three-Minute Maximal Effort Cycling Test.

Authors:  Ran Wang; David H Fukuda; Jeffrey R Stout; Edward H Robinson; Amelia A Miramonti; Maren S Fragala; Jay R Hoffman
Journal:  J Sports Sci Med       Date:  2015-05-08       Impact factor: 2.988

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Authors:  George V Dimitrov; Todor I Arabadzhiev; Katya N Mileva; Joanna L Bowtell; Nicola Crichton; Nonna A Dimitrova
Journal:  Med Sci Sports Exerc       Date:  2006-11       Impact factor: 5.411

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Journal:  J Appl Physiol (1985)       Date:  2003-07-11

9.  Conduction velocity along human muscle fibers in situ.

Authors:  W Troni; R Cantello; I Rainero
Journal:  Neurology       Date:  1983-11       Impact factor: 9.910

10.  Low-level activity of the trunk extensor muscles causes electromyographic manifestations of fatigue in absence of decreased oxygenation.

Authors:  Jaap H van Dieën; Eleonora P Westebring-van der Putten; Idsart Kingma; Michiel P de Looze
Journal:  J Electromyogr Kinesiol       Date:  2008-02-21       Impact factor: 2.368

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