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Electromyographic and Neuromuscular Fatigue Thresholds as Concepts of Fatigue

  • Autores: Jarek Mäestu, Antonio Cichella, Priit Purge, Sergio Ruosi, Jaak Jürimäe
  • Localización: Journal of strength and conditioning research: the research journal of the NSCA, ISSN 1064-8011, Vol. 20, Nº. 4, 2006, págs. 824-828
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • Mäestu, J., A. Cicchella, P. Purge, S. Ruosi, J. Jürimäe, and T. Jürimäe. Electromyographic and neuromuscular fatigue thresholds as concepts of fatigue. J. Strength Cond. Res. 20(4):824-828. 2006.-The aim of this study was to investigate the concepts of electromyographic (EMG) threshold (EMGT) by integrated EMG (iEMG) signals and neuromuscular fatigue threshold (NMFT) concepts in trained male athletes. Nine competitive national-level male rowers (21.8 ± 4.4 years; 186.2 ± 4.6 cm; 79.6 ± 8.4 kg) took part in this investigation. Subjects were asked to participate in the graded exercise test to volitional exhaustion and 500-, 1,000-, and 2,000-m all-out rowing ergometer tests on a rowing ergometer. During all tests, oxygen consumption parameters, average power, and iEMG of the musculus vastus lateralis were recorded. The second ventilatory threshold (248.9 ± 26.67 W) and EMGT (258.89 ± 27.13 W) were not significantly different but were significantly lower than the NMFT (302.25 ± 45.10 W). During 1,000- and 2,000-m all-out distances, O2 increased during the first minute and then leveled on a plateau with a slight decrease at the end of the exercise. Vastus lateralis activity showed a slight increase during all distances that was accompanied by a remarkable increase towards the end of the distance. All measured threshold values were significantly correlated (r > 0.70; p < 0.05) to the rowing ergometer performance characteristics. It was concluded that EMGT is closely related to the aerobic-anaerobic transition phase, because NMFT represents the local fatigue accumulation in the muscle. NMFT indicates the performance capacity of the muscles; therefore, it helps coaches to better predict top athletes' performance.


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