title: Muscle fatigue during dynamic contractions assessed by new spectral indices.
abstract: OBJECTIVE
  The aim of the present study was to test the applicability and sensitivity of new electromyography (EMG) spectral indices in assessing peripheral muscle fatigue during dynamic knee-extension exercise.
  
  
  METHODS
  Seven subjects completed 10 sets of 15 repetitions of right knee-extension exercise lifting 50% of their one-repetition maximum. Torque (T), knee-joint angle, and the interference EMG of rectus femoris muscle were recorded simultaneously. Maximal voluntary isometric contraction (MVC) was tested before and after exercise. Median spectral frequency (Fmed) and new spectral indices of muscle fatigue (FInsmk) were calculated for each repetition.
  
  
  RESULTS
  The rate and range of FInsmk- and Fmed-relative changes against the first repetition of the corresponding set increased gradually across successive repetitions within the set, reflecting accumulation of peripheral muscle fatigue. The maximal change of FInsmk observed in the present experiment was approximately eightfold, whereas that of Fmed was only 32%. Significant between-subject variability in the range of FInsmk changes (P < 0.0001) was found, so a hierarchical cluster analysis of muscle fatigue indices was conducted. Three distinct subgroups of subjects were identified: high (N = 1, FInsmk change > 400%), medium (N = 4, 200% < FInsmk change < 400%), and low (N = 2, FInsmk change < 200%) muscle fatigability. The changes in muscle performance during (last vs first repetition peak T, P = 0.03) and after (post- vs preexercise MVC, P = 0.012) exercise were significantly different between clusters (one-way ANOVA). The rate of fatigue development was also significantly different between clusters (linear regression analysis of Fmed and FInsmk changes).
  
  
  CONCLUSIONS
  The new spectral indices are a valid and reliable tool for assessment of muscle fatigability irrespective of EMG signal variability caused by dynamic muscle contractions, and these indices are more sensitive than those traditionally used.
authors.affiliation: Centre of Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria. ngdim@bio.bas.bg
authors.forename: George V
authors.initials: GV
authors.lastname: Dimitrov
authors.forename: Todor I
authors.initials: TI
authors.lastname: Arabadzhiev
authors.forename: Katya N
authors.initials: KN
authors.lastname: Mileva
authors.forename: Joanna L
authors.initials: JL
authors.lastname: Bowtell
authors.forename: Nicola
authors.initials: N
authors.lastname: Crichton
authors.forename: Nonna A
authors.initials: NA
authors.lastname: Dimitrova
mesh_terms: D000328:Adult; D000465:Algorithms; D004576:Electromyography / Q000379:methods*; D005260:Female; D006801:Humans; D007537:Isometric Contraction / Q000502:physiology*; D007717:Knee / Q000502:physiology; D008297:Male; D018763:Muscle Fatigue / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology; D019415:Torque; D014891:Weight Lifting / Q000502:physiology