Relation between EMG power spectrum shifts and muscle fibre action potential conduction velocity changes during local muscular fatigue in man

Naeije, M.; Zorn, H.

doi:10.1007/bf00952241

Cited by 118 publications

(41 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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“…The cross 28 correlation function technique was used to estimate the time delay between the two 29 signals (i.e., the amount of time shift that must be applied to one signal to minimize 1 the mean square error with the other). This time shift is the same, which maximizes 2 the cross correlation between the signals (Naeije and Zorn 1982). Estimates of MFCV 3 were accepted only when cross-correlation values were >0.8.…”

Section: Methodsmentioning

confidence: 99%

Effect of exercise training on neuromuscular function of elbow flexors and knee extensors of type 2 diabetic patients

Bazzucchi

Vito

Felici

et al. 2015

Journal of Electromyography and Kinesiology

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Massimo (2015) Effect of exercise training on neuromuscular function of elbow flexors and knee extensors of type 2 diabetic patients. Journal of Electromyography and Kinesiology, 25 (5). pp. 815-823.Downloaded from: http://insight.cumbria.ac.uk/2048/ Usage of any items from the University of Cumbria's institutional repository 'Insight' must conform to the following fair usage guidelines.Any item and its associated metadata held in the University of Cumbria's institutional repository Insight (unless stated otherwise on the metadata record) may be copied, displayed or performed, and stored in line with the JISC fair dealing guidelines (available here) for educational and not-for-profit activities provided that• the authors, title and full bibliographic details of the item are cited clearly when any part of the work is referred to verbally or in the written form• a hyperlink/URL to the original Insight record of that item is included in any citations of the work • the content is not changed in any way• all files required for usage of the item are kept together with the main item file. You may not• sell any part of an item• refer to any part of an item without citation • amend any item or contextualise it in a way that will impugn the creator's reputation• remove or alter the copyright statement on an item.The full policy can be found here. Alternatively contact the University of Cumbria Repository Editor by emailing insight@cumbria.ac.uk. Accepted Manuscript

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“…In general, the EMG amplitude can be estimated by the root mean square value of the EMG signal and used as an indicator of force production (Staudenmann et al 2010). The mean frequency (MF) and average conduction velocity (CV) of the surface EMG signal are indicators of myoelectric muscle fatigue (Naeije and Zorn 1982;Moritani et al 1986). The MF can be estimated as the first statistical moment of the EMG amplitude spectrum (Merletti et al 1990).…”

Section: Introductionmentioning

confidence: 99%

On the nature of the electromyographic signals recorded during vibration exercise

Rabotti

Mischi

2015

Eur J Appl Physiol

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Relation between EMG power spectrum shifts and muscle fibre action potential conduction velocity changes during local muscular fatigue in man

Cited by 118 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

Effect of exercise training on neuromuscular function of elbow flexors and knee extensors of type 2 diabetic patients

On the nature of the electromyographic signals recorded during vibration exercise

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