A Modified Method of Submovement Decomposition Based on Velocity Profile and Endpoint Position

Seyedeh Somayeh Naghibi, A. Maleki, A. Fallah, F. Ghassemi
{"title":"A Modified Method of Submovement Decomposition Based on Velocity Profile and Endpoint Position","authors":"Seyedeh Somayeh Naghibi, A. Maleki, A. Fallah, F. Ghassemi","doi":"10.1109/ICBME.2017.8430253","DOIUrl":null,"url":null,"abstract":"Proper functioning of the rehabilitation and motion control systems depends on the proper recognition of the motor system and the mechanism of natural movement formation. The submovement theory states that each movement consists of building units that are called submovement and by combining a limited number of submovement, more complex movements are formed. Many evidence supports this theory. Therefore, proper submovement extraction is an important topic in movement identification and control. One of the most commonly used submovement extraction methods relies on fitting a number of overlapping basis function to the movement. Parameters of these basis functions are usually identified by optimization method. In the related papers, the adaptation between the velocity profiles of the reconstructed movement and the main movement is used as an optimization cost function criteria, while the adaptation of the movement end point to the target is very important in many movements. Accordingly, the purpose of this paper is to modify the objective function of optimization so that both the reconstructed movement paths and end points are aligned with the original movement. For this purpose, the optimization cost function was modified so that in addition to the difference in velocity profiles, the effect of the target distance at the end of the movement, is also considered. The results show that, there is good adaptation between the main and reconstructed movement trajectories and end points. Therefore, with the proposed method, more appropriate submovements are extracted.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"94 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBME.2017.8430253","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

Proper functioning of the rehabilitation and motion control systems depends on the proper recognition of the motor system and the mechanism of natural movement formation. The submovement theory states that each movement consists of building units that are called submovement and by combining a limited number of submovement, more complex movements are formed. Many evidence supports this theory. Therefore, proper submovement extraction is an important topic in movement identification and control. One of the most commonly used submovement extraction methods relies on fitting a number of overlapping basis function to the movement. Parameters of these basis functions are usually identified by optimization method. In the related papers, the adaptation between the velocity profiles of the reconstructed movement and the main movement is used as an optimization cost function criteria, while the adaptation of the movement end point to the target is very important in many movements. Accordingly, the purpose of this paper is to modify the objective function of optimization so that both the reconstructed movement paths and end points are aligned with the original movement. For this purpose, the optimization cost function was modified so that in addition to the difference in velocity profiles, the effect of the target distance at the end of the movement, is also considered. The results show that, there is good adaptation between the main and reconstructed movement trajectories and end points. Therefore, with the proposed method, more appropriate submovements are extracted.
一种基于速度剖面和端点位置的改进子运动分解方法
康复和运动控制系统的正常运作取决于对运动系统和自然运动形成机制的正确认识。子运动理论指出,每个运动都由称为子运动的建筑单元组成,通过组合有限数量的子运动,形成更复杂的运动。许多证据支持这一理论。因此,适当的子运动提取是运动识别和控制的重要课题。最常用的子运动提取方法之一是将多个重叠基函数拟合到运动中。这些基函数的参数通常用最优化方法来确定。在相关文献中,重构运动的速度分布与主要运动的速度分布之间的适应被用作优化代价函数准则,而运动终点对目标的适应在许多运动中是非常重要的。因此,本文的目的是修改优化目标函数,使重构的运动路径和终点都与原始运动对齐。为此,对优化代价函数进行了修改,除了考虑速度剖面的差异外,还考虑了运动结束时目标距离的影响。结果表明,主运动轨迹和重构运动轨迹与终点之间具有良好的自适应关系。因此,该方法可以提取出更合适的子运动。
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:604180095
Book学术官方微信