Relationships between muscle fibre conduction velocity and frequency parameters of surface EMG during sustained contraction

Sadoyama, Tsugutake; Masuda, Tadashi; Miyano, Hisao

doi:10.1007/bf00455188

Cited by 124 publications

(51 citation statements)

References 19 publications

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“…Our findings based on MSE analysis showed some accordance with previous reports relying on spectral analysis for muscle fatigue assessment. It has been widely recognized that surface EMG spectral parameters, such as mean power frequency (MPF) and median frequency (MDF), showed a declining trend during fatiguing process [12,13,44,45], which confirmed power spectrum shift toward lower-frequency bands [39,40,[46][47][48]. Considering the nature of the sifting process of EMD that higher order IMFs represent lower frequency components in the original EMG signals, power spectrum's shifting toward lower-frequency bands may lead to the increase in the proportions of lower frequency components (higher order IMFs) in the original signals.…”

Section: Discussionmentioning

confidence: 96%

Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy

Hong

Zhang

Ma³

et al. 2016

Entropy

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Abstract:The objective of this study was to investigate the effects of muscle fatigue on the multi-scale entropy of surface electromyography (EMG) in children with cerebral palsy (CP) and typical development (TD). Sixteen CP children and eighteen TD children participated in experiments where they performed upper limb cyclic lifting tasks following a muscle fatiguing process, while the surface EMG signals were recorded from their upper trapezius muscles. Multi-scale entropy (MSE) analyses of the surface EMG were applied by calculating sample entropy (SampEn) on individual intrinsic mode functions (IMFs) adaptively generated by empirical mode decomposition (EMD) of the original signal. The declining degree of the resultant MSE curve was found to reflect muscle fatigue level for all subjects, with its slope (purposely calculated over the first four scales) increasing significantly as the fatigue level increased. Further, such a slope increase was less significant for CP children as compared with TD children. Our findings confirmed that the decrease of muscle fiber conduction velocity (MFCV) and the increase of motor unit synchronization may be two possible factors induced by muscle fatigue, and further indicated that there appear to be some neuromuscular changes (such as MFCV decrease, motor unit synchronization increase, motor unit firing rates reduction, selective loss of larger motor units) that occur as a result of cerebral palsy. These changes may account for experimentally observed difference in fatiguing effects between subject groups. Our study provides an investigative tool to assess muscle fatigue as well as to help reveal complex neuropathological changes underlying the motor impairments of CP children.

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Section: Discussionmentioning

confidence: 96%

Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy

Hong

Zhang

Ma³

et al. 2016

Entropy

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“…CV of various muscles. duration of contraction (NAEIJE and ZORN, 1982;SADOYAMA et al, 1983). 'Since weak voluntary contractions were performed in a temperature-controlled room, the present results should not be influenced by these factors.…”

mentioning

confidence: 70%

“…There was little variation in the CV within the same muscle in all five subjects, and the variation between various muscles of the same subject was less than 0.4 m/s (Table 1). It has been reported that CV varies according to spike intervals (STALBERG, 1966;SADOYAMA et al, 1983;MORIMOTO and MASUDA, 1984), muscle length (MORIMOTO, 1986), muscle temperature (MORIMOTO et al, 1980;HOMMA et al, 1983), and the Table 1. CV of various muscles.…”

mentioning

confidence: 98%

Location of end-plate region and measurement of conduction velocity of action potential in human muscles by unidimensional latency-topography.

Nakajima¹,

Kusama²

1988

Jpn.J.Physiol

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Summary The conduction profile of an action potential elicited by weak voluntary contraction of the m. biceps brachii was graphically displayed by unidimensional latency-topography, UDLT. The end-plate location and conduction velocity (CV) were determined by UDLT. The end-plate location of the m, biceps brachii was measured as 12-15 cm proximal to the epicondylus medialis and remained at the same region independently of the elbow angle. The CV of the action potential of various muscles was also measured in five subjects to reveal inter-muscular variation. The variation in the CV among various muscles in the same subject and that among subjects was not statistically significant. The CV measured ranged from 3.4 to 3.8 m/s.

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“…MFCV is also influenced by physiological factors other than the diameter of the muscle fiber. Reports have described phenomena such as slower MFCVs of Type I fibers belonging to smaller motor units in comparison to Type II fibers belonging to larger motor units 5,14) , faster MFCVs with increased frequency of discharge 1,5) , and delayed MFCV due to muscle fatigue 16) . Measurement of MFCV during voluntary contraction is affected by all these factors, and measured values are likely to become unstable and display poor reproducibility compared with measurement using evoked potentials.…”

Section: Measurement Of Mfcvmentioning

confidence: 99%

Effect of Age and Gender on Muscle Function-Analysis by Muscle Fiber Conduction Velocity-

et al. 2006

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Abstract. The effect of age and gender on muscle fiber conduction velocity (MFCV) was examined. Subjects were 216 healthy persons (369 limbs), of which 102 were males (180 limbs) and 114 were females (189 limbs). The method of evoked potential was used for measuring MFCV. The muscles measured were the vastus medialis of the right and / or left limbs. The measurement was taken in a sitting position with the hip and knee joints flexed at 90°. On the effect of aging, a significant correlation between MFCV and age was observed in males (r=0.63, p<0.01) and in females (r=0.52, p<0.01). There was a tendency of delay in MFCV due to aging. On the gender difference, male MFCV showed a faster rate, compared with that of females in the age group from 20's to 40's. However, no gender difference was observed in the age group of more than 50 years. Based on these results, age and gender differences must therefore be considered when determining standard values of MFCV.

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Relationships between muscle fibre conduction velocity and frequency parameters of surface EMG during sustained contraction

Cited by 124 publications

References 19 publications

Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy

Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy

Location of end-plate region and measurement of conduction velocity of action potential in human muscles by unidimensional latency-topography.

Effect of Age and Gender on Muscle Function-Analysis by Muscle Fiber Conduction Velocity-

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