EMG-Torque Estimation at Future Times

Kishor Koirala, Meera Dasog, Pu Liu, E. Clancy
{"title":"EMG-Torque Estimation at Future Times","authors":"Kishor Koirala, Meera Dasog, Pu Liu, E. Clancy","doi":"10.1109/NEBEC.2013.88","DOIUrl":null,"url":null,"abstract":"This paper investigates the ability of surface electromyogram (EMG) to estimate joint torque at future times, up to 1 s. EMG was recorded from the biceps and triceps muscles of 54 subjects during constant-posture, force-varying contractions and related to the torque produced about the elbow. EMG to joint torque was predicted up to 80 ms into the future without any changes in the minimum least square error of 5.48% of maximum voluntary contraction for the best estimation model investigated: whitened, multiple-channel EMG used with a nonlinear model. Error progressively increased for prediction times above 80 ms.","PeriodicalId":153112,"journal":{"name":"2013 39th Annual Northeast Bioengineering Conference","volume":"436 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 39th Annual Northeast Bioengineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEBEC.2013.88","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper investigates the ability of surface electromyogram (EMG) to estimate joint torque at future times, up to 1 s. EMG was recorded from the biceps and triceps muscles of 54 subjects during constant-posture, force-varying contractions and related to the torque produced about the elbow. EMG to joint torque was predicted up to 80 ms into the future without any changes in the minimum least square error of 5.48% of maximum voluntary contraction for the best estimation model investigated: whitened, multiple-channel EMG used with a nonlinear model. Error progressively increased for prediction times above 80 ms.
肌电-扭矩估计在未来的时间
本文研究了表面肌电图(EMG)在未来时间估计关节扭矩的能力,最高可达1秒。记录了54名受试者在固定姿势、力变化收缩时的二头肌和三头肌肌电图,这些肌电图与肘部周围产生的扭矩有关。肌电图对关节扭矩的预测可以持续到80ms,而最小二乘误差为最大自主收缩的5.48%,对于所研究的最佳估计模型:白化、多通道肌电图与非线性模型一起使用。当预测时间超过80毫秒时,误差逐渐增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信