sEMG Feature Analysis on Forearm Muscle Fatigue During Isometric Contractions
In order to detect and assess the muscle fatigue state with the surface electromyography（sEMG） characteristic parameters,this paper carried out a series of isometric contraction experiments to induce the fatigue on the forearm muscles from four subjects,and recorded the sEMG signals of the flexor ca...
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| Published in | Transactions of Tianjin University Vol. 20; no. 2; pp. 139 - 143 |
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| Format | Journal Article |
| Language | English |
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| Abstract | In order to detect and assess the muscle fatigue state with the surface electromyography（sEMG） characteristic parameters,this paper carried out a series of isometric contraction experiments to induce the fatigue on the forearm muscles from four subjects,and recorded the sEMG signals of the flexor carpi ulnaris.sEMG’s median frequency（MDF） and mean frequency（MF） were extracted by short term Fourier transform（STFT）,and the root mean square（RMS） of wavelet coefficients in the frequency band of 5—45 Hz was obtained by continuous wavelet transform（CWT）.The results demonstrate that both MDF and MF show downward trends within 1 min; however,RMS shows an upward trend within the same time.The three parameters are closely correlated with absolute values of mean correlation coefficients greater than 0.8.It is suggested that the three parameters above can be used as reliable indicators to evaluate the level of muscle fatigue during isometric contractions. |
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| AbstractList | In order to detect and assess the muscle fatigue state with the surface electromyography (sEMG) characteristic parameters, this paper carried out a series of isometric contraction experiments to induce the fatigue on the forearm muscles from four subjects, and recorded the sEMG signals of the flexor carpi ulnaris. sEMG’s median frequency (MDF) and mean frequency (MF) were extracted by short term Fourier transform (STFT), and the root mean square (RMS) of wavelet coefficients in the frequency band of 5–45 Hz was obtained by continuous wavelet transform (CWT). The results demonstrate that both MDF and MF show downward trends within 1 min; however, RMS shows an upward trend within the same time. The three parameters are closely correlated with absolute values of mean correlation coefficients greater than 0.8. It is suggested that the three parameters above can be used as reliable indicators to evaluate the level of muscle fatigue during isometric contractions. In order to detect and assess the muscle fatigue state with the surface electromyography (sEMG) character-istic parameters, this paper carried out a series of isometric contraction experiments to induce the fatigue on the fore-arm muscles from four subjects, and recorded the sEMG signals of the flexor carpi ulnaris. sEMG's median frequency (MDF) and mean frequency (MF) were extracted by short term Fourier transform (STFT), and the root mean square (RMS) of wavelet coefficients in the frequency band of 5-45 Hz was obtained by continuous wavelet transform (CWT). The results demonstrate that both MDF and MF show downward trends within 1 min;however, RMS shows an upward trend within the same time. The three parameters are closely correlated with absolute values of mean corre-lation coefficients greater than 0.8. It is suggested that the three parameters above can be used as reliable indicators to evaluate the level of muscle fatigue during isometric contractions. In order to detect and assess the muscle fatigue state with the surface electromyography（sEMG） characteristic parameters,this paper carried out a series of isometric contraction experiments to induce the fatigue on the forearm muscles from four subjects,and recorded the sEMG signals of the flexor carpi ulnaris.sEMG’s median frequency（MDF） and mean frequency（MF） were extracted by short term Fourier transform（STFT）,and the root mean square（RMS） of wavelet coefficients in the frequency band of 5—45 Hz was obtained by continuous wavelet transform（CWT）.The results demonstrate that both MDF and MF show downward trends within 1 min; however,RMS shows an upward trend within the same time.The three parameters are closely correlated with absolute values of mean correlation coefficients greater than 0.8.It is suggested that the three parameters above can be used as reliable indicators to evaluate the level of muscle fatigue during isometric contractions. |
| Author | 明东 王欣 徐瑞 邱爽 赵欣 綦宏志 周鹏 张力新 万柏坤 |
| AuthorAffiliation | Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, School of Precision Instrument and Opto- Electronics Engineering, Tianjin University, Tianjin 300072, China |
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| Cites_doi | 10.1016/j.jelekin.2007.07.003 10.1016/j.clinbiomech.2009.01.010 10.1007/s12209-009-0053-y 10.1016/j.jelekin.2008.09.007 10.1016/S1050-6411(98)00042-X 10.1113/jphysiol.2007.139477 10.1016/j.jelekin.2004.08.007 10.1016/j.jelekin.2010.10.006 10.1016/j.jelekin.2012.08.004 10.1016/j.clinbiomech.2008.08.003 10.1007/s004210100455 10.1007/s12209-011-1628-y 10.1046/j.1365-201X.1997.00168.x 10.1002/9781444319620 |
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| Copyright | Tianjin University and Springer-Verlag Berlin Heidelberg 2014 Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| Keywords | median frequency correlation mean frequency root mean square time-frequency spectrum analysis isometric contraction muscle fatigue mean fre-quency |
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| Notes | 12-1248/T muscle fatigue； isometric contraction； time-frequency spectrum analysis； median frequency； mean frequency； root mean square； correlation In order to detect and assess the muscle fatigue state with the surface electromyography（sEMG） characteristic parameters,this paper carried out a series of isometric contraction experiments to induce the fatigue on the forearm muscles from four subjects,and recorded the sEMG signals of the flexor carpi ulnaris.sEMG’s median frequency（MDF） and mean frequency（MF） were extracted by short term Fourier transform（STFT）,and the root mean square（RMS） of wavelet coefficients in the frequency band of 5—45 Hz was obtained by continuous wavelet transform（CWT）.The results demonstrate that both MDF and MF show downward trends within 1 min; however,RMS shows an upward trend within the same time.The three parameters are closely correlated with absolute values of mean correlation coefficients greater than 0.8.It is suggested that the three parameters above can be used as reliable indicators to evaluate the level of muscle fatigue during isometric contractions. |
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| Snippet | In order to detect and assess the muscle fatigue state with the surface electromyography（sEMG） characteristic parameters,this paper carried out a series of... In order to detect and assess the muscle fatigue state with the surface electromyography (sEMG) characteristic parameters, this paper carried out a series of... In order to detect and assess the muscle fatigue state with the surface electromyography (sEMG) character-istic parameters, this paper carried out a series of... |
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| Title | sEMG Feature Analysis on Forearm Muscle Fatigue During Isometric Contractions |
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