Motor unit recruitment and EMG power spectra during ramp contractions of a bifunctional muscle

Dupont, Ludovic; Gamet, D.; Pérot, C.

doi:10.1016/s1050-6411(00)00014-6

Cited by 23 publications

(16 citation statements)

References 26 publications

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“…In the present investigation, most of the motor units had been recruited by approximately 70% MVC (see Fig. 1), which would stabilize the overall MPF, and contribute to the plateau in MPF that was observed in this and other studies at high force levels (Dupont et al 2000;Moritani and Muro 1987). Other recent studies based on the modeling and experimental data suggest that motor unit synchronization may increase at higher forces and this may produce some Xattening or small declines in MPF at high forces (Fling et al 2008;Gabriel and Kamen 2009).…”

Section: Mean Power Frequencysupporting

confidence: 68%

“…Surface EMG recordings have been used to describe basic motor unit recruitment and Wring patterns (Broman et al 1985;Fuglsang-Frederiksen and Ronager 1988); to quantify diVerences in motor unit Wring behavior among diVerent force production tasks (Dupont et al 2000;Sbriccoli et al 2003;Weytjens and van Steenberghe 1984); to characterize changes in motor unit Wring behavior during the development of muscular fatigue (Krogh-Lund 1993;Moritani et al 1986); to explain diVerences in motor unit Wring behavior between young and older individuals (Lindeman et al 1999;Macaluso et al 2000;Yamada et al 2002); and to explain changes in motor unit Wring behavior in response to training (Aagaard et al 2000;Felici et al 2001;Gabriel and Boucher 1998). All of these interpretations have been made in the absence of any direct recordings of individual motor unit activity.…”

Section: Introductionmentioning

confidence: 99%

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Relationships between surface EMG variables and motor unit firing rates

et al. 2009

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Although surface electromyography (sEMG) is a widely used electrophysiological technique, its physiological interpretation remains somewhat controversial. This study examined the relationship between motor unit firing rates (MUFR) and the root mean square (RMS) amplitude and mean power frequency (MPF) of the sEMG signal in the biceps brachii. Eleven subjects performed maximal isometric elbow flexion while indwelling and sEMG recordings were obtained from the biceps. The RMS amplitude and MPF of the surface signal, and the mean MUFR from the indwelling signal, were calculated over 500 ms epochs. Group means showed a strong MUFR-RMS amplitude relationship (r (2) = 0.91), but a weak MUFR-MPF relationship (r (2) = 0.20). Using all trials, the MUFR-RMS amplitude (r (2) = 0.19) and MUFR-MPF (r (2) = 0.0037) relationships were much weaker. Within individual subjects, the MUFR-RMS amplitude (mean r (2) = 0.13 +/- 0.17) and the MUFR-MPF (mean r (2) = 0.040 +/- 0.041) relationships were also weak. These results suggest that MUFR cannot be predicted from the characteristics of the sEMG signal.

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Section: Mean Power Frequencysupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Relationships between surface EMG variables and motor unit firing rates

et al. 2009

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“…Since the RMS data sometimes showed an initial increase followed by a decrease, the linear regressions were fitted only from the initial value to the maximal value obtained during each trial. 10,29,41 However, in most cases, the maximal RMS value was reached at the end of the contraction.…”

mentioning

confidence: 95%

Differences between young and older women in maximal force, force fluctuations, and surface emg during isometric knee extension and elbow flexion

Bazzucchi¹,

Felici²,

Macaluso³

et al. 2004

Muscle and Nerve

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The loss of muscle strength with aging appears to be greater in the lower than upper limbs, but strength and its neural control have never been compared in the same population of individuals in both upper and lower limbs. The aim of this study was to investigate differences between eight young (20-31 years) and eight older (68-76 years) healthy women in maximal voluntary contraction (MVC), force fluctuations, median frequency (MDF) of the surface electromyogram (sEMG), and muscle fiber conduction velocity (MFCV) during sustained isometric elbow flexion (EF) and knee extension (KE), performed at moderate to high force intensity. Older women showed larger fluctuations of force with endurance and changes in sEMG pointing to less fatigue, especially at high level of force, with no differences between upper and lower extremities. This may have significant implications in the design of rehabilitation programs directed to this population.

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“…Study by [19] Bilodeau et al (2003), [20] Pérot et al (1996) and [21] Stulen and DeLuca (1981) related the relationship of curve in ramp contraction were this behavior can be confirmed between of recruitment of large, type II muscles fibers, with a higher muscle action potential conduction velocity, is associated with an increase in the median frequency or mean power frequency values of the power spectrum of sEMG [22].…”

Section: Computational Intelligence In Electromyography Analysis -A Pmentioning

confidence: 94%

Relationships Between Surface Electromyography and Strength During Isometric Ramp Contractions

Marson¹

2012

Computational Intelligence in Electromyography Analysis - A Perspective on Current Applications and Future Challenges

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Motor unit recruitment and EMG power spectra during ramp contractions of a bifunctional muscle

Cited by 23 publications

References 26 publications

Relationships between surface EMG variables and motor unit firing rates

Relationships between surface EMG variables and motor unit firing rates

Differences between young and older women in maximal force, force fluctuations, and surface emg during isometric knee extension and elbow flexion

Relationships Between Surface Electromyography and Strength During Isometric Ramp Contractions

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