• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

从三维运动学计算简单的足触地角度:方法学比较。

Simple foot strike angle calculation from three-dimensional kinematics: A methodological comparison.

机构信息

Department of Sport and Exercise Science, University of Salzburg, Salzburg, Austria.

Red Bull Athlete Performance Center, Thalgau, Austria.

出版信息

J Sports Sci. 2022 Jun;40(12):1343-1350. doi: 10.1080/02640414.2022.2080162. Epub 2022 May 29.

DOI:10.1080/02640414.2022.2080162
PMID:35634797
Abstract

A simple and accurate method of determining foot strike angle (FSA) during running can simplify data collections and validations of wearable sensors. The purpose of this study was to determine the validity of two simplified methods for estimating FSA and foot angle (throughout the ground contact) from three-dimensional kinematics. Markers were placed on the heel and head of the second metatarsal (HEEL-TOE) or on the lateral side of the head of the fifth metatarsal (HEEL-MET). When compared to the reference foot segment, the HEEL-TOE method performed similarly with a minimal mean difference (0.28° [0.19°,0.36°], p < 0.001), a high Pearson's r (r = 0.994; p < 0.001), and low bias (-0.20°±1.05°). Alternatively, the HEEL-MET method underestimated FSA: mean difference = 4.28° [4.07°,4.91°] (p < 0.001), Pearson's r = 0.968 (p < 0.001), and bias = -4.58°±2.61°. Throughout the contact phase, significant SPM cluster regions were identified, indicating that the HEEL-MET method underestimated the angle of the foot for all foot strike patterns in the first 23-34% of the stance (p < 0.025). This study supports the idea that the HEEL-TOE method can be used as a simplified method for determining FSA from 3D kinematics. Researchers should proceed with caution when employing the HEEL-MET method, as it is likely underestimating FSA due to foot inversion in the early stance phase.

摘要

一种简单而准确的方法可以确定跑步时的足触地角度(FSA),从而简化可穿戴传感器的数据收集和验证。本研究的目的是确定从三维运动学中估算 FSA 和足部角度(整个触地阶段)的两种简化方法的有效性。在脚跟和第二跖骨的头部(HEEL-TOE)或第五跖骨头部的外侧(HEEL-MET)放置标记。与参考足部节段相比,HEEL-TOE 方法的平均差异较小(0.28°[0.19°,0.36°],p<0.001),Pearson r 值较高(r=0.994;p<0.001),偏差较小(-0.20°±1.05°)。相比之下,HEEL-MET 方法低估了 FSA:平均差异=4.28°[4.07°,4.91°](p<0.001),Pearson r=0.968(p<0.001),偏差=-4.58°±2.61°。在整个接触阶段,确定了具有显著 SPM 聚类区域的位置,表明 HEEL-MET 方法低估了所有足触地模式在前 23-34%的支撑阶段的足部角度(p<0.025)。本研究支持了 HEEL-TOE 方法可以作为从 3D 运动学确定 FSA 的简化方法的观点。研究人员在使用 HEEL-MET 方法时应谨慎,因为由于早期支撑阶段的足部内翻,该方法可能低估了 FSA。

相似文献

1
Simple foot strike angle calculation from three-dimensional kinematics: A methodological comparison.从三维运动学计算简单的足触地角度:方法学比较。
J Sports Sci. 2022 Jun;40(12):1343-1350. doi: 10.1080/02640414.2022.2080162. Epub 2022 May 29.
2
A novel kinematic detection of foot-strike and toe-off events during noninstrumented treadmill running to estimate contact time.一种用于非仪器化跑步机跑步过程中足跟触地和脚趾离地事件的新型运动学检测方法,以估计接触时间。
J Biomech. 2021 Nov 9;128:110737. doi: 10.1016/j.jbiomech.2021.110737. Epub 2021 Sep 6.
3
Foot strike determines the center of pressure behavior and affects impact severity in heel-toe running.着地方式决定了压力中心的行为,并影响足跟到足尖跑步时的冲击强度。
J Sports Sci. 2022 Apr;40(7):808-820. doi: 10.1080/02640414.2021.2019991. Epub 2022 Feb 16.
4
THE EFFECT OF STEP RATE MANIPULATION ON FOOT STRIKE PATTERN OF LONG DISTANCE RUNNERS.步频操控对长跑运动员着地方式的影响。
Int J Sports Phys Ther. 2016 Feb;11(1):54-63.
5
Focusing on heel strike improves toe clearance in people with Parkinson's disease: an observational pilot study.着重于脚跟触地可改善帕金森病患者的脚趾离地高度:一项观察性初步研究。
Physiotherapy. 2017 Dec;103(4):485-490. doi: 10.1016/j.physio.2017.05.001. Epub 2017 May 22.
6
Assessment of Foot Strike Angle and Forward Propulsion with Wearable Sensors in People with Stroke.使用可穿戴传感器评估中风患者的足着地角度和向前推进力。
Sensors (Basel). 2024 Jan 22;24(2):710. doi: 10.3390/s24020710.
7
Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running.足部网络的开发与验证:一种新的运动学算法,用于改善跑步机跑步中的足触地和足离地检测。
PLoS One. 2021 Aug 9;16(8):e0248608. doi: 10.1371/journal.pone.0248608. eCollection 2021.
8
Identifying gait events without a force plate during running: a comparison of methods.在跑步过程中无需力板即可识别步态事件:方法比较。
Gait Posture. 2011 Jan;33(1):130-2. doi: 10.1016/j.gaitpost.2010.06.009. Epub 2010 Nov 16.
9
A kinematic method to detect foot contact during running for all foot strike patterns.一种用于检测所有脚着地模式下跑步过程中脚部接触的运动学方法。
J Biomech. 2015 Sep 18;48(12):3502-5. doi: 10.1016/j.jbiomech.2015.07.036. Epub 2015 Aug 11.
10
The utility of normative foot floor angle data in assessing toe-walking.正常足底角度数据在评估足尖行走中的作用。
Foot (Edinb). 2018 Dec;37:65-70. doi: 10.1016/j.foot.2018.07.003. Epub 2018 Jul 11.

引用本文的文献

1
Gait characteristics related to fall risk in patients with cerebral small vessel disease.脑小血管病患者中与跌倒风险相关的步态特征
Front Neurol. 2023 Jun 6;14:1166151. doi: 10.3389/fneur.2023.1166151. eCollection 2023.