2008
DOI: 10.1016/j.jbiomech.2008.09.003
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Contraction mode shift in quadriceps femoris muscle activation during dynamic knee extensor exercise with increasing loads

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Cited by 17 publications
(11 citation statements)
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References 30 publications
(76 reference statements)
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“…EMG was taken only as an indicator of muscle activity to provide input data in the first step dedicated to the estimation of muscle group moments (see Eqs. (1) the strength of min/max optimization in force-sharing (Rasmussen et al, 2001) and provides muscle forces compatible with VL muscle dominance (Pincivero et al, 2006;2008), our results do not definitively resolve the question of appropriateness of force distribution within muscles. In the first step, the proposed method may benefit from more precise modeling of the forcegenerating potential of muscles.…”
Section: Discussionmentioning
confidence: 57%
“…EMG was taken only as an indicator of muscle activity to provide input data in the first step dedicated to the estimation of muscle group moments (see Eqs. (1) the strength of min/max optimization in force-sharing (Rasmussen et al, 2001) and provides muscle forces compatible with VL muscle dominance (Pincivero et al, 2006;2008), our results do not definitively resolve the question of appropriateness of force distribution within muscles. In the first step, the proposed method may benefit from more precise modeling of the forcegenerating potential of muscles.…”
Section: Discussionmentioning
confidence: 57%
“…Thus, body positioning, range of motion and time under tension per repetition was, if not identical, very similar for the two loading paradigms. It can only be speculated that training, at a diVerent action speed (Matheson et al 2001;Pincivero et al 2008), requesting more repetitions per set (Pincivero et al 2006), using other exercise modes (Andersen et al 2006;Wilk et al 1996) or employing other strategies (Sahaly et al 2003), would have impacted the outcome of the current study.…”
Section: Discussionmentioning
confidence: 86%
“…Fast Fourier Transform (FFT) is the most general frequency analysis method; however, it was designed on the assumption that the calculated data range from − infinity to + infinity. Before analysis, the data are usually modified using some window function to correct the gap between the imaginary infinite data and real finite data if the amount of data is not sufficiently large 9,10. In the case of electromyography, several thousand temporal and linear data points are used for the analysis; however, only tens of spatial but two-dimensional data points are used because the pixel data from the region of interest (ROI) in each muscle must be calculated.…”
Section: Introductionmentioning
confidence: 99%