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

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 u...

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Main Authors: Tong Hong, Xu Zhang, Hongjun Ma, Yan Chen, Xiang Chen
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/18/5/177
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author Tong Hong
Xu Zhang
Hongjun Ma
Yan Chen
Xiang Chen
author_facet Tong Hong
Xu Zhang
Hongjun Ma
Yan Chen
Xiang Chen
author_sort Tong Hong
collection DOAJ
description 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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spelling doaj.art-e56f4d26fba7429280a4eaba0877a8992022-12-22T02:56:56ZengMDPI AGEntropy1099-43002016-05-0118517710.3390/e18050177e18050177Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral PalsyTong Hong0Xu Zhang1Hongjun Ma2Yan Chen3Xiang Chen4Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, ChinaDepartment of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, ChinaDepartment of Child Rehabilitation, Jingu Hospital, Hefei 230041, ChinaDepartment of Child Rehabilitation, Jingu Hospital, Hefei 230041, ChinaDepartment of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, ChinaThe 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.http://www.mdpi.com/1099-4300/18/5/177cerebral palsyelectromyographymulti-scale entropy analysismuscle fatigue
spellingShingle Tong Hong
Xu Zhang
Hongjun Ma
Yan Chen
Xiang Chen
Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy
Entropy
cerebral palsy
electromyography
multi-scale entropy analysis
muscle fatigue
title Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy
title_full Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy
title_fullStr Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy
title_full_unstemmed Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy
title_short Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy
title_sort fatiguing effects on the multi scale entropy of surface electromyography in children with cerebral palsy
topic cerebral palsy
electromyography
multi-scale entropy analysis
muscle fatigue
url http://www.mdpi.com/1099-4300/18/5/177
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