Achmamad Abdelouahad, Abdelali Belkhou, A. Jbari, L. Bellarbi
{"title":"Time and frequency parameters of sEMG signal — Force relationship","authors":"Achmamad Abdelouahad, Abdelali Belkhou, A. Jbari, L. Bellarbi","doi":"10.1109/ICOA.2018.8370547","DOIUrl":null,"url":null,"abstract":"This paper shows that time and frequency domains may be used to evaluate force of skeletal muscle. The surface electromyography sEMG can be used to quantify force level of the muscle contraction. The main objective of this work is the study of the relationship between different features of sEMG signal and force level of contraction. The most popular time and frequency parameters extracted from sEMG signal are root mean square (RMS), mean absolute value (MAV), median frequency (MDF) and mean power frequency (MPF). The results of the experiment showed an increasing in time domain parameters values and a decreasing in frequency domain parameters values during four successive contractions significantly with the increasing in force level contraction. Furthermore, the sensitivity is calculated for each parameters. (RMS) and (MPF) have been selected as the best features to evaluate muscle force.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA.2018.8370547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
This paper shows that time and frequency domains may be used to evaluate force of skeletal muscle. The surface electromyography sEMG can be used to quantify force level of the muscle contraction. The main objective of this work is the study of the relationship between different features of sEMG signal and force level of contraction. The most popular time and frequency parameters extracted from sEMG signal are root mean square (RMS), mean absolute value (MAV), median frequency (MDF) and mean power frequency (MPF). The results of the experiment showed an increasing in time domain parameters values and a decreasing in frequency domain parameters values during four successive contractions significantly with the increasing in force level contraction. Furthermore, the sensitivity is calculated for each parameters. (RMS) and (MPF) have been selected as the best features to evaluate muscle force.