{"title":"Estimation of features informativeness of the EMG signal in the problem of forearm prosthesis controlling","authors":"M. V. Markova, D. O. Shestopalov, A. Nikolaev","doi":"10.1109/USBEREIT.2018.8384548","DOIUrl":null,"url":null,"abstract":"In this study estimation of features informativeness of the EMG signal in the problem of forearm prosthesis controlling is considered. Logistic regression is used to classify six hand movements: grasping, opening, flexion, pronation and supination using fourteen time domain features. To evaluate the importance of features linear regression coefficients are used. Most informative features are shown.","PeriodicalId":176222,"journal":{"name":"2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USBEREIT.2018.8384548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In this study estimation of features informativeness of the EMG signal in the problem of forearm prosthesis controlling is considered. Logistic regression is used to classify six hand movements: grasping, opening, flexion, pronation and supination using fourteen time domain features. To evaluate the importance of features linear regression coefficients are used. Most informative features are shown.
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