The short-time Fourier transform and muscle fatigue assessment in dynamic contractions

MacIsaac, Dawn; Parker, P.A.; Scott, Robert N.

doi:10.1016/s1050-6411(01)00021-9

Cited by 74 publications

(57 citation statements)

References 9 publications

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“…Karlsson et al 2000). However, even the simpler method of short-time Fourier transform can be applied effectively in the analysis of dynamic muscle contractions for detection of decrease in MNF and MDF commonly associated with the development of fatigue (Mac Isaac et al 2001;Gerdle et al 2000;Christensen et al 1995).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of muscle fatigue during 100-m front crawl

et al. 2010

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The aim of this study was to evaluate muscle fatigue in upper body muscles during 100-m all-out front crawl. Surface electromyogram (EMG) was collected from the pectoralis major, latissimus dorsi and triceps brachii muscles of 11 experienced swimmers. Blood lactate concentration level increased to 14.1 ± 2.9 mmol l(-1) 5 min after the swim. The velocity, stroke length and stroke rate calculated based on video analysis decreased by 15.0, 5.8 and 7.4%, respectively, during the swim. EMG amplitude of the triceps and the lower part of the latissimus muscles increased, whilst the mean power frequency (MNF) of all muscles significantly decreased by 20-25%. No significant differences in the relative MNF decrease were observed amongst the muscles; however, the differences in the rate of the MNF decrease between the lower part of the latissimus and the triceps brachii muscles were found (P < 0.05). The time of rest between the muscle activation of the two consecutive arm strokes at the end of swimming was extended (P < 0.05). It was concluded that 100-m all-out crawl induced significant fatigue with no evident differences amongst the analysed muscles.

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Section: Introductionmentioning

confidence: 99%

Evaluation of muscle fatigue during 100-m front crawl

et al. 2010

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“…Decrease in MDF and/or MPF has been demonstrated in the quadriceps during isokinetic knee extensions [22], the gastrocnemius during isokinetic plantar flexions [21], some leg muscles during uphill running [1], the shoulder muscles during repetitive arm works [49], and in the biceps brachii during repeated elbow flexion-extension movements [9,37]. On the other hand, the EMG amplitude has been observed to increase during repetitive, dynamic submaximal efforts [21,31,36], and decrease during maximal efforts [21,31].…”

Section: Introductionmentioning

confidence: 99%

Electromyographical assessment on muscular fatigue—an elaboration upon repetitive typing activity

Lin

Liang

Lin

et al. 2004

Journal of Electromyography and Kinesiology

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“…One possible explanation for these results is that the EMG fatigue indices are derived from an averaging process both within the time windows selected for analysis and in the linear regression. This process eliminates the individual differences between the spectral estimates of the FFT and WT, and could thus reduce the measurement errors, as suggested by the results of this averaging effect presented by Da Silva et al 9 and MacIsaac et al 16 . This is also supported by our variance results, indicating less accuracy (i.e., greater variability) in the data obtained with the FFT analysis compared to the WT (Table 3).…”

Section: Discussionmentioning

confidence: 95%