Muscle fatigue during cross country sprint assessed by activation patterns and electromyographic signals time-frequency analysis

R. Zory, F. Molinari, M. Knaflitz, F. Schena, A. Rouard

Research output: Contribution to journalArticle

Abstract

The aims of this study were as follows: (i) analysis of activation patterns during the spurt of two heats of a cross country skiing sprint with the double poling technique and (ii) quantification of muscle fatigue of the investigated muscles. Eight elite skiers were tested and surface electromyographic signals (EMG) were recorded from seven muscles of the upper and lower limbs. For each subject and each muscle, the activation intervals were calculated for relying on a double-threshold statistical detector and the average rectified value was calculated on each activation interval. The detected activations were processed by a time-frequency algorithm in order to assess the progression of muscle fatigue. The EMG activation patterns and EMG amplitude highlighted no significant difference between the two spurts, despite a generally lower speed in the second spurt. The frequency analysis showed that upper body muscles are the first to be affected by fatigue and that clear signs of muscle fatigue appear right from the first spurt of the sprint simulation (i.e., biceps and triceps brachii) with a decrease in the instantaneous mean frequency. Biceps brachii activations and fatigue demonstrated the involvement of this muscle in propulsion.

Original languageEnglish
Pages (from-to)783-790
Number of pages8
JournalScandinavian Journal of Medicine and Science in Sports
Volume21
Issue number6
DOIs
Publication statusPublished - Dec 2011

Fingerprint

Muscle Fatigue
Muscles
Fatigue
Skiing
Activation Analysis
Lower Extremity
Hot Temperature

Keywords

  • Activation patterns
  • Double poling
  • Instantaneous mean frequency
  • Performance

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation

Cite this

Muscle fatigue during cross country sprint assessed by activation patterns and electromyographic signals time-frequency analysis. / Zory, R.; Molinari, F.; Knaflitz, M.; Schena, F.; Rouard, A.

In: Scandinavian Journal of Medicine and Science in Sports, Vol. 21, No. 6, 12.2011, p. 783-790.

Research output: Contribution to journalArticle

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