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单腿跳落地过程中优化方法与膝关节自由度对肌肉力量预测的比较。

A comparison of optimisation methods and knee joint degrees of freedom on muscle force predictions during single-leg hop landings.

作者信息

Mokhtarzadeh Hossein, Perraton Luke, Fok Laurence, Muñoz Mario A, Clark Ross, Pivonka Peter, Bryant Adam L

机构信息

Northwest Academic Centre, The University of Melbourne, Australian Institute of Musculoskeletal Science, Melbourne, Vic. 3021, Australia.

Centre for Health, Exercise and Sports Medicine, Physiotherapy, Melbourne School of Health Sciences, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Vic. 3010, Australia.

出版信息

J Biomech. 2014 Sep 22;47(12):2863-8. doi: 10.1016/j.jbiomech.2014.07.027. Epub 2014 Aug 1.

Abstract

The aim of this paper was to compare the effect of different optimisation methods and different knee joint degrees of freedom (DOF) on muscle force predictions during a single legged hop. Nineteen subjects performed single-legged hopping manoeuvres and subject-specific musculoskeletal models were developed to predict muscle forces during the movement. Muscle forces were predicted using static optimisation (SO) and computed muscle control (CMC) methods using either 1 or 3 DOF knee joint models. All sagittal and transverse plane joint angles calculated using inverse kinematics or CMC in a 1 DOF or 3 DOF knee were well-matched (RMS error<3°). Biarticular muscles (hamstrings, rectus femoris and gastrocnemius) showed more differences in muscle force profiles when comparing between the different muscle prediction approaches where these muscles showed larger time delays for many of the comparisons. The muscle force magnitudes of vasti, gluteus maximus and gluteus medius were not greatly influenced by the choice of muscle force prediction method with low normalised root mean squared errors (<48%) observed in most comparisons. We conclude that SO and CMC can be used to predict lower-limb muscle co-contraction during hopping movements. However, care must be taken in interpreting the magnitude of force predicted in the biarticular muscles and the soleus, especially when using a 1 DOF knee. Despite this limitation, given that SO is a more robust and computationally efficient method for predicting muscle forces than CMC, we suggest that SO can be used in conjunction with musculoskeletal models that have a 1 or 3 DOF knee joint to study the relative differences and the role of muscles during hopping activities in future studies.

摘要

本文的目的是比较不同优化方法和不同膝关节自由度(DOF)对单腿跳跃过程中肌肉力量预测的影响。19名受试者进行了单腿跳跃动作,并建立了特定于受试者的肌肉骨骼模型来预测运动过程中的肌肉力量。使用静态优化(SO)和计算肌肉控制(CMC)方法,采用1个或3个自由度的膝关节模型来预测肌肉力量。在1个自由度或3个自由度膝关节中,使用逆运动学或CMC计算得到的所有矢状面和横断面关节角度匹配良好(均方根误差<3°)。在比较不同的肌肉预测方法时,双关节肌肉(腘绳肌、股直肌和腓肠肌)在肌肉力量分布上表现出更多差异,在许多比较中这些肌肉显示出更大的时间延迟。股四头肌、臀大肌和臀中肌的肌肉力量大小受肌肉力量预测方法选择的影响不大,在大多数比较中观察到归一化均方根误差较低(<48%)。我们得出结论,SO和CMC可用于预测跳跃运动过程中的下肢肌肉协同收缩。然而,在解释双关节肌肉和比目鱼肌预测的力量大小时必须谨慎,尤其是在使用1个自由度膝关节时。尽管存在这一局限性,但鉴于SO是一种比CMC更稳健且计算效率更高的肌肉力量预测方法,我们建议在未来的研究中,SO可与具有1个或3个自由度膝关节的肌肉骨骼模型结合使用,以研究跳跃活动期间肌肉的相对差异和作用。

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