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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| Veröffentlicht in: | Transactions of Tianjin University 2014, Vol.20 (2), p.139-143 |
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| container_title | Transactions of Tianjin University |
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| creator | 明东 王欣 徐瑞 邱爽 赵欣 綦宏志 周鹏 张力新 万柏坤 |
| description | 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. |
| doi_str_mv | 10.1007/s12209-014-2181-2 |
| format | Article |
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Tianjin Univ</addtitle><addtitle>Transactions of Tianjin University</addtitle><description>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.</description><subject>Engineering</subject><subject>Humanities and Social Sciences</subject><subject>Mechanical Engineering</subject><subject>multidisciplinary</subject><subject>Science</subject><subject>信号特征</subject><subject>傅立叶变换</subject><subject>前臂</subject><subject>平均频率</subject><subject>收缩</subject><subject>肌肉疲劳</subject><subject>表面肌电图</subject><subject>连续小波变换</subject><issn>1006-4982</issn><issn>1995-8196</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kDFPwzAQhSMEEqXwA9jMjuHOcZN4rEpTKrVigdlyYiekap1iJ6L997hKBRvL3Q333Xv3ouge4QkB0mePjIGggJwyzJCyi2iEQkxohiK5DDNAQrnI2HV04_0GgAtIcRSt_Xy9ILlRXe8MmVq1PfrGk9aSvHVGuR1Z977cGpKrrql7Q15619iaLH27M51rSjJrbedU2TWt9bfRVaW23tyd-zj6yOfvs1e6elssZ9MVLYM5oDplesKSokrQpAKFVlgynSJPBGgdG46iSouYKQgtKyteKNSgoWBcT0zK43H0ONz9VrZStpabtnfBu5ddo-xGHw6FNCyEAaFAWMdhvXSt985Ucu-anXJHiSBP8ckhPhkIeYpPssCwgfH708PG_Wn8Bz2chT5bW38F7leJC0xSiHn8A_tFfXc</recordid><startdate>2014</startdate><enddate>2014</enddate><creator>明东 王欣 徐瑞 邱爽 赵欣 綦宏志 周鹏 张力新 万柏坤</creator><general>Tianjin University</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>2014</creationdate><title>sEMG Feature Analysis on Forearm Muscle Fatigue During Isometric Contractions</title><author>明东 王欣 徐瑞 邱爽 赵欣 綦宏志 周鹏 张力新 万柏坤</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2180-d72d526bf61e7919da1c2d714690dd3e419f7b32a0f7b8cf4ba1d0d0b24d5e743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Engineering</topic><topic>Humanities and Social Sciences</topic><topic>Mechanical Engineering</topic><topic>multidisciplinary</topic><topic>Science</topic><topic>信号特征</topic><topic>傅立叶变换</topic><topic>前臂</topic><topic>平均频率</topic><topic>收缩</topic><topic>肌肉疲劳</topic><topic>表面肌电图</topic><topic>连续小波变换</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>明东 王欣 徐瑞 邱爽 赵欣 綦宏志 周鹏 张力新 万柏坤</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Transactions of Tianjin University</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>明东 王欣 徐瑞 邱爽 赵欣 綦宏志 周鹏 张力新 万柏坤</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>sEMG Feature Analysis on Forearm Muscle Fatigue During Isometric Contractions</atitle><jtitle>Transactions of Tianjin University</jtitle><stitle>Trans. Tianjin Univ</stitle><addtitle>Transactions of Tianjin University</addtitle><date>2014</date><risdate>2014</risdate><volume>20</volume><issue>2</issue><spage>139</spage><epage>143</epage><pages>139-143</pages><issn>1006-4982</issn><eissn>1995-8196</eissn><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.</abstract><cop>Heidelberg</cop><pub>Tianjin University</pub><doi>10.1007/s12209-014-2181-2</doi><tpages>5</tpages></addata></record> |
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| identifier | ISSN: 1006-4982 |
| ispartof | Transactions of Tianjin University, 2014, Vol.20 (2), p.139-143 |
| issn | 1006-4982 1995-8196 |
| language | eng |
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| source | SpringerNature Journals; Alma/SFX Local Collection |
| subjects | Engineering Humanities and Social Sciences Mechanical Engineering multidisciplinary Science 信号特征 傅立叶变换 前臂 平均频率 收缩 肌肉疲劳 表面肌电图 连续小波变换 |
| title | sEMG Feature Analysis on Forearm Muscle Fatigue During Isometric Contractions |
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