• 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

汽车碰撞过程中的足部和踝关节受力:肌肉的影响

Foot and ankle forces during an automobile collision: the influence of muscles.

作者信息

Hardin E C, Su A, van den Bogert A J

机构信息

Department of Biomedical Engineering, The Cleveland Clinic Foundation ND-2, 9500 Euclid Avenue, Cleveland, OH 44195, USA.

出版信息

J Biomech. 2004 May;37(5):637-44. doi: 10.1016/j.jbiomech.2003.09.030.

DOI:10.1016/j.jbiomech.2003.09.030
PMID:15046992
Abstract

Muscles have a potentially important effect on lower extremity injuries during an automobile collision. Computational modeling can be a powerful tool to predict these effects and develop protective interventions. Our purpose was to determine how muscles influence peak foot and ankle forces during an automobile collision. A 2-D bilateral musculoskeletal model was constructed with seven segments. Six muscle groups were included in the right lower extremity, each represented by a Hill muscle model. Vehicle deceleration data were applied as input and the resulting movements were simulated. Three models were evaluated: no muscles (NM), minimal muscle activation at a brake pedal force of 400 N (MN), and maximal muscle activation to simulate panic braking (MX). Muscle activation always resulted in large increases in peak joint force. Peak ankle joint force was greatest for MX (10120 N), yet this model also had the lowest peak rearfoot force (629 N). Peak force on the Achilles tendon was 4.5 times greater, during MX (6446 N) compared to MN (1430 N). We conclude that (1). external and internal forces are dependent on muscles, (2). muscle activation level could exacerbate axial loading injuries, (3). external and internal forces can be inversely related once muscle properties are included.

摘要

在汽车碰撞过程中,肌肉对下肢损伤可能具有重要影响。计算建模是预测这些影响并开发防护干预措施的有力工具。我们的目的是确定肌肉在汽车碰撞过程中如何影响足部和踝关节的峰值力。构建了一个包含七个节段的二维双侧肌肉骨骼模型。右下肢纳入了六组肌肉,每组均由希尔肌肉模型表示。将车辆减速数据作为输入,并模拟由此产生的运动。评估了三个模型:无肌肉模型(NM)、制动踏板力为400 N时最小肌肉激活模型(MN)以及模拟紧急制动的最大肌肉激活模型(MX)。肌肉激活总是导致峰值关节力大幅增加。MX模型的踝关节峰值力最大(10120 N),但该模型的后足峰值力也最低(629 N)。与MN模型(1430 N)相比,MX模型中跟腱的峰值力大4.5倍(6446 N)。我们得出以下结论:(1). 外力和内力取决于肌肉;(2). 肌肉激活水平可能会加剧轴向负荷损伤;(3). 一旦纳入肌肉特性,外力和内力可能呈负相关。

相似文献

1
Foot and ankle forces during an automobile collision: the influence of muscles.汽车碰撞过程中的足部和踝关节受力:肌肉的影响
J Biomech. 2004 May;37(5):637-44. doi: 10.1016/j.jbiomech.2003.09.030.
2
Pre-impact lower extremity posture and brake pedal force predict foot and ankle forces during an automobile collision.碰撞前下肢姿势和制动踏板力可预测汽车碰撞时足部和踝关节所受的力。
J Biomech Eng. 2004 Dec;126(6):770-8. doi: 10.1115/1.1824122.
3
Intraarticular pressure distribution in the talocrural joint is related to lower leg muscle forces.距小腿关节内的压力分布与小腿肌肉力量有关。
Clin Biomech (Bristol). 2008 Jun;23(5):632-9. doi: 10.1016/j.clinbiomech.2007.11.005. Epub 2007 Dec 20.
4
Computational modeling to predict mechanical function of joints: application to the lower leg with simulation of two cadaver studies.预测关节力学功能的计算模型:应用于小腿并模拟两项尸体研究
J Biomech Eng. 2007 Dec;129(6):811-17. doi: 10.1115/1.2800763.
5
Active stiffness of the ankle in response to inertial and elastic loads.踝关节对惯性和弹性负荷的主动刚度。
J Electromyogr Kinesiol. 2004 Oct;14(5):599-609. doi: 10.1016/j.jelekin.2004.03.005.
6
Trunk muscle activation and associated lumbar spine joint shear forces under different levels of external forward force applied to the trunk.在向躯干施加不同水平的外部向前力时,躯干肌肉激活情况及相关腰椎关节剪切力。
J Electromyogr Kinesiol. 2007 Feb;17(1):14-24. doi: 10.1016/j.jelekin.2005.12.001. Epub 2006 Mar 13.
7
Tonic finite element model of the lower limb.下肢的张力有限元模型。
J Biomech Eng. 2006 Apr;128(2):223-8. doi: 10.1115/1.2165700.
8
Support torques during simulated sit-to-stand movements.模拟从坐姿到站立动作过程中的支撑扭矩。
Biomed Sci Instrum. 2005;41:7-12.
9
Joint stabilising response to lateral and medial tilts.
Clin Biomech (Bristol). 2005 Jun;20(5):517-25. doi: 10.1016/j.clinbiomech.2005.01.008.
10
An EMG-to-force processing approach for determining ankle muscle forces during normal human gait.一种用于确定正常人类步态期间踝关节肌肉力量的肌电图到力的处理方法。
IEEE Trans Neural Syst Rehabil Eng. 2005 Sep;13(3):302-10. doi: 10.1109/TNSRE.2005.851768.

引用本文的文献

1
The biomechanics of lower limb injuries in frontal-impact road traffic collisions.正面碰撞道路交通碰撞中下肢损伤的生物力学
Afr Health Sci. 2018 Jun;18(2):321-332. doi: 10.4314/ahs.v18i2.17.
2
Predictive simulation of gait at low gravity reveals skipping as the preferred locomotion strategy.低重力下步态的预测模拟表明,跳跃是首选的运动策略。
J Biomech. 2012 Apr 30;45(7):1293-8. doi: 10.1016/j.jbiomech.2012.01.029. Epub 2012 Feb 24.
3
Optimality principles for model-based prediction of human gait.基于模型的人体步态预测的最优原理。
J Biomech. 2010 Apr 19;43(6):1055-60. doi: 10.1016/j.jbiomech.2009.12.012. Epub 2010 Jan 13.
4
Adaptive surrogate modeling for efficient coupling of musculoskeletal control and tissue deformation models.用于肌肉骨骼控制与组织变形模型高效耦合的自适应代理建模
J Biomech Eng. 2009 Jan;131(1):011014. doi: 10.1115/1.3005333.