基于载荷响应阶段踝关节背屈力矩的弹簧系数辨识

Jing-Chen Hong, Yuta Fukushima, S. Suzuki, Kazuhiro Yasuda, Hiroki Ohashi, H. Iwata
{"title":"基于载荷响应阶段踝关节背屈力矩的弹簧系数辨识","authors":"Jing-Chen Hong, Yuta Fukushima, S. Suzuki, Kazuhiro Yasuda, Hiroki Ohashi, H. Iwata","doi":"10.1109/ROBIO.2017.8324751","DOIUrl":null,"url":null,"abstract":"In the previous work, we developed a dorsiflexion support robotic technology (RT) to help with gait rehabilitation for hemiplegic patients. The RT actively supports dorsiflexion force during swing phase with an artificial muscle. Because of the insufficient support of heel rocker, we consider using a spring for assisting resistive dorsiflexion force during loading response phase. The spring can be changed easily on our developed RT, which contributes to advantage of choosing spring with suitable spring constant. Thus, the ultimate goal for us is to find a way to determine the appropriate spring constant for corresponding individual gait to support full heel rocker in loading response phase. Support amount of dorsiflexion torque is needed for determining the spring constant. Therefore, our aim in this paper is to find out the correlation between ankle torque and individual gait factors, such as walking speed and step length. After selecting these factors, we collected gait data for 9 healthy volunteers and derive the formula to estimate dorsiflexion torque using multiple linear regression analysis. An accuracy evaluation test was also done to prove the availability of derived estimation formula.","PeriodicalId":197159,"journal":{"name":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Estimation of ankle dorsiflexion torque during loading response phase for spring coefficient identification\",\"authors\":\"Jing-Chen Hong, Yuta Fukushima, S. Suzuki, Kazuhiro Yasuda, Hiroki Ohashi, H. Iwata\",\"doi\":\"10.1109/ROBIO.2017.8324751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the previous work, we developed a dorsiflexion support robotic technology (RT) to help with gait rehabilitation for hemiplegic patients. The RT actively supports dorsiflexion force during swing phase with an artificial muscle. Because of the insufficient support of heel rocker, we consider using a spring for assisting resistive dorsiflexion force during loading response phase. The spring can be changed easily on our developed RT, which contributes to advantage of choosing spring with suitable spring constant. Thus, the ultimate goal for us is to find a way to determine the appropriate spring constant for corresponding individual gait to support full heel rocker in loading response phase. Support amount of dorsiflexion torque is needed for determining the spring constant. Therefore, our aim in this paper is to find out the correlation between ankle torque and individual gait factors, such as walking speed and step length. After selecting these factors, we collected gait data for 9 healthy volunteers and derive the formula to estimate dorsiflexion torque using multiple linear regression analysis. An accuracy evaluation test was also done to prove the availability of derived estimation formula.\",\"PeriodicalId\":197159,\"journal\":{\"name\":\"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2017.8324751\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2017.8324751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

在之前的工作中,我们开发了一种背屈支持机器人技术(RT)来帮助偏瘫患者的步态康复。在摆动阶段,RT用人工肌肉主动支持背屈力。由于足跟摇杆的支撑不足,我们考虑在加载响应阶段使用弹簧辅助阻力背屈力。在我们开发的RT上,弹簧可以很容易地更换,这有利于选择合适的弹簧常数的弹簧。因此,我们的最终目标是找到一种方法,为相应的个体步态确定合适的弹簧常数,以支持加载响应阶段的全跟摇杆。弹簧常数的确定需要背屈力矩的支撑量。因此,本文的目的是找出踝关节扭矩与个体步态因素(如步行速度和步长)之间的相关性。在选择这些因素后,我们收集了9名健康志愿者的步态数据,并使用多元线性回归分析得出了估计背屈扭矩的公式。并进行了精度评价试验,验证了所得估计公式的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Estimation of ankle dorsiflexion torque during loading response phase for spring coefficient identification
In the previous work, we developed a dorsiflexion support robotic technology (RT) to help with gait rehabilitation for hemiplegic patients. The RT actively supports dorsiflexion force during swing phase with an artificial muscle. Because of the insufficient support of heel rocker, we consider using a spring for assisting resistive dorsiflexion force during loading response phase. The spring can be changed easily on our developed RT, which contributes to advantage of choosing spring with suitable spring constant. Thus, the ultimate goal for us is to find a way to determine the appropriate spring constant for corresponding individual gait to support full heel rocker in loading response phase. Support amount of dorsiflexion torque is needed for determining the spring constant. Therefore, our aim in this paper is to find out the correlation between ankle torque and individual gait factors, such as walking speed and step length. After selecting these factors, we collected gait data for 9 healthy volunteers and derive the formula to estimate dorsiflexion torque using multiple linear regression analysis. An accuracy evaluation test was also done to prove the availability of derived estimation formula.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Respiratory simulator for robotic respiratory tract treatments Mimicking fly motion tracking and fixation behaviors with a hybrid visual neural network A smooth position-force controller for asbestos removal manipulator A robotized interior work process planning algorithm based on surface minimum coverage set Towards adaptive power consumption estimation for over-actuated unmanned vehicles
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1