2015
DOI: 10.1088/0967-3334/37/1/162
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Muscle fiber conduction velocity and fractal dimension of EMG during fatiguing contraction of young and elderly active men

Abstract: Over the past decade, linear and nonlinear surface electromyography (EMG) variables highlighting different components of fatigue have been developed. In this study, we tested fractal dimension (FD) and conduction velocity (CV) rate of changes as descriptors, respectively, of motor unit synchronization and peripheral manifestations of fatigue. Sixteen elderly (69  ±  4 years) and seventeen young (23  ±  2 years) physically active men (almost 3-5 h of physical activity per week) executed one knee extensor contra… Show more

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Cited by 44 publications
(37 citation statements)
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“…In agreement with previous findings from our laboratory [25,26], a significant positive correlation was found between FD and CV normalized slopes at 60% MVC in both genders. Considering that FD is less sensitive to changes in CV than other indices derived from the sEMG [22], we can assume that at higher level of contraction muscular fatigue may result of mutual interactions between central and peripheral mechanisms as previously hypothesized [69].…”
Section: Discussionsupporting
confidence: 93%
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“…In agreement with previous findings from our laboratory [25,26], a significant positive correlation was found between FD and CV normalized slopes at 60% MVC in both genders. Considering that FD is less sensitive to changes in CV than other indices derived from the sEMG [22], we can assume that at higher level of contraction muscular fatigue may result of mutual interactions between central and peripheral mechanisms as previously hypothesized [69].…”
Section: Discussionsupporting
confidence: 93%
“…FD : As previously reported, an increase in MU synchronization may be observed during fatiguing isometric contractions at 25% MVC or higher [11,25,26,6165]. …”
Section: Discussionsupporting
confidence: 51%
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“…Electromyography (EMC) data were also analyzed by fractal dimension analysis to determine the use of this methodology along with other parameters to better characterize the EMG signal, and to quantify motor unit recruitment patterns in biceps of normal patients [19,20]. Moreover, fractal analysis was used as a reliable measure of the skeletal muscle fatigue [11,12], and to assess changes in positron emission tomography (PET) data of peripheral vascular function of resting and exercising skeletal muscles [21]. Given the overall applicability of fractal analysis in myology, we emphasize the importance of this simple and low-cost methodology in translational medicine since it may be used as a differentiated tool for DMD diagnosis and disease staging.…”
Section: Discussionmentioning
confidence: 99%
“…Decreases in FD may be considered as indicators of progressive MU synchronization [37], probably due to central fatigue (for review see [22]). We recently reported a decrease of FD during sustained isometric contractions of the quadriceps and biceps muscles, and these changes may be considered as an indicator of progressive MU synchronization [9,35]. Furthermore, FD showed a good reliability during isometric contractions in the biceps brachii muscle [7].…”
mentioning
confidence: 89%