Frontiers in Sports and Active Living (Feb 2021)

Surface Electromyography Spectral Parameters for the Study of Muscle Fatigue in Swimming

  • Luca Puce,
  • Ilaria Pallecchi,
  • Lucio Marinelli,
  • Lucio Marinelli,
  • Laura Mori,
  • Laura Mori,
  • Marco Bove,
  • Marco Bove,
  • Daniele Diotti,
  • Piero Ruggeri,
  • Piero Ruggeri,
  • Emanuela Faelli,
  • Emanuela Faelli,
  • Filippo Cotellessa,
  • Carlo Trompetto,
  • Carlo Trompetto

DOI
https://doi.org/10.3389/fspor.2021.644765
Journal volume & issue
Vol. 3

Abstract

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The purpose of this study was to assess validity, stability and sensitivity, of 4 spectral parameters–median frequency (Fmed), mean frequency (Fmean), Dimitrov index (DI), and mean instant frequency (Fmi)–in measuring localized muscle fatigue in swimming and to investigate their correlation with the variations of kinematic data and mechanical fatigue. Electrophysiological measures of muscle fatigue were obtained in real-time during a 100 m front crawl test at maximum speed in 15 experienced swimmers, using surface electromyography in six muscles employed in front crawl, while kinematic data of swimming was measured from video analysis. Mechanical fatigue was measured as the difference between muscle strength prior to and immediately after the 100 m front crawl in a dry-land multi-stage isometric contraction test. Statistically significant fatigue (p < 0.0001) was found for all spectral parameters in all muscles. Fmed and Fmean varied between 10 and 25%, DI between 50 and 150%, and Fmi between 5 and 10%. Strong correlation (Pearson r ≥ 0.5) with mechanical fatigue was found for all spectral parameters except for Fmi and it was strongest for Fmed and Fmean. From our study, it turns out that Fmed and Fmean are more valid and stable parameters to measure fatigue in swimming, while DI is more sensitive.

Keywords