使用鞋穿惯性传感器的步态分析:脚间隙如何与步行速度相关?

K. Aminian, F. Dadashi, B. Mariani, C. Lenoble-Hoskovec, B. Santos-Eggimann, C. Büla
{"title":"使用鞋穿惯性传感器的步态分析:脚间隙如何与步行速度相关?","authors":"K. Aminian, F. Dadashi, B. Mariani, C. Lenoble-Hoskovec, B. Santos-Eggimann, C. Büla","doi":"10.1145/2632048.2632071","DOIUrl":null,"url":null,"abstract":"Spatiotemporal gait analysis with body worn inertial sensors improves diagnosis in clinical practice. Most of the gait performance measures are affected by walking speed. However, it has not been investigated that how much information foot clearance parameters share with the key parameters of gait performance domains. Using shoe-worn inertial sensors and previously validated algorithm we measured spatiotemporal as well as clearance gait parameters in a cohort of able-bodied adults over the age of 65 (N=879). Principal components analysis showed that variability of foot clearance parameters contribute to the main variability in gait data. Moreover, only weak to moderate correlation of gait speed and stride length with some clearance parameters has been observed. We recommend the assessment of clearance parameters during gait analysis in addition to parameters such as gait speed, bearing in mind the importance of foot clearance measures in obstacle negotiation, slipping and tripping related falls.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Gait analysis using shoe-worn inertial sensors: how is foot clearance related to walking speed?\",\"authors\":\"K. Aminian, F. Dadashi, B. Mariani, C. Lenoble-Hoskovec, B. Santos-Eggimann, C. Büla\",\"doi\":\"10.1145/2632048.2632071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spatiotemporal gait analysis with body worn inertial sensors improves diagnosis in clinical practice. Most of the gait performance measures are affected by walking speed. However, it has not been investigated that how much information foot clearance parameters share with the key parameters of gait performance domains. Using shoe-worn inertial sensors and previously validated algorithm we measured spatiotemporal as well as clearance gait parameters in a cohort of able-bodied adults over the age of 65 (N=879). Principal components analysis showed that variability of foot clearance parameters contribute to the main variability in gait data. Moreover, only weak to moderate correlation of gait speed and stride length with some clearance parameters has been observed. We recommend the assessment of clearance parameters during gait analysis in addition to parameters such as gait speed, bearing in mind the importance of foot clearance measures in obstacle negotiation, slipping and tripping related falls.\",\"PeriodicalId\":20496,\"journal\":{\"name\":\"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2632048.2632071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2632048.2632071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

摘要

基于人体穿戴式惯性传感器的时空步态分析提高了临床诊断水平。大多数步态性能指标都受步行速度的影响。然而,足部间隙参数与步态性能域的关键参数共享多少信息尚未得到研究。使用鞋穿惯性传感器和先前验证的算法,我们测量了65岁以上健全成年人队列(N=879)的时空和间隙步态参数。主成分分析表明,足部间隙参数的变异性是步态数据的主要变异性。此外,仅观察到步态速度和步幅长度与某些间隙参数的弱至中等相关性。我们建议除了步态速度等参数外,在步态分析期间评估间隙参数,牢记足部间隙措施在障碍协商,滑倒和绊倒相关跌倒中的重要性。
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
Gait analysis using shoe-worn inertial sensors: how is foot clearance related to walking speed?
Spatiotemporal gait analysis with body worn inertial sensors improves diagnosis in clinical practice. Most of the gait performance measures are affected by walking speed. However, it has not been investigated that how much information foot clearance parameters share with the key parameters of gait performance domains. Using shoe-worn inertial sensors and previously validated algorithm we measured spatiotemporal as well as clearance gait parameters in a cohort of able-bodied adults over the age of 65 (N=879). Principal components analysis showed that variability of foot clearance parameters contribute to the main variability in gait data. Moreover, only weak to moderate correlation of gait speed and stride length with some clearance parameters has been observed. We recommend the assessment of clearance parameters during gait analysis in addition to parameters such as gait speed, bearing in mind the importance of foot clearance measures in obstacle negotiation, slipping and tripping related falls.
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
Steered crowdsensing: incentive design towards quality-oriented place-centric crowdsensing Usable consents: tracking and managing use of personal data with a consent transaction receipt The socio-technical superorganism vision A new illness recognition framework using frequent temporal pattern mining Mercury: an application store for open display networks
×
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