首页> 美国卫生研究院文献>other >Why are antagonist muscles co-activated in my simulation? A musculoskeletal model for analysing human locomotor tasks
【2h】

Why are antagonist muscles co-activated in my simulation? A musculoskeletal model for analysing human locomotor tasks

机译:为什么在我的模拟中共同激活拮抗肌?用于分析人体运动任务的肌肉骨骼模型

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Existing “off-the-shelf” musculoskeletal models are problematic when simulating movements that involve substantial hip and knee flexion, such as the upstroke of pedalling, because they tend to generate excessive passive fibre force. The goal of this study was to develop a refined musculoskeletal model capable of simulating pedalling and fast running, in addition to walking, which predicts the activation patterns of muscles better than existing models. Specifically, we tested whether the anomalous co-activation of antagonist muscles, commonly observed in simulations, could be resolved if the passive forces generated by the underlying model were diminished. We refined the OpenSim™ model published by Rajagopal et al. (2016) by increasing the model's range of knee flexion, updating the paths of the knee muscles, and modifying the force-generating properties of eleven muscles. Simulations of pedalling, running and walking based on this model reproduced measured EMG activity better than simulations based on the existing model – even when both models tracked the same subject-specific kinematics. Improvements in the predicted activations were associated with decreases in the net passive moments; for example, the net passive knee moment during the upstroke of pedalling decreased from 36.9 N m (existing model) to 6.3 N m (refined model), resulting in a dramatic decrease in the co-activation of knee flexors. The refined model is available from and is suitable for analysing movements with up to 120° of hip flexion and 140° of knee flexion.
机译:现有的“现成”肌肉骨骼模型在模拟涉及大量臀部和膝盖屈曲的运动(例如踩踏板的动作)时会出现问题,因为它们会产生过多的被动纤维力。这项研究的目的是开发一种精巧的肌肉骨骼模型,除了步行以外,还可以模拟踩踏板和快速跑步,该模型比现有模型更好地预测肌肉的激活方式。具体来说,我们测试了如果基础模型产生的被动力减小了,通常可以在模拟中观察到的拮抗肌异常共激活是否可以解决。我们完善了Rajagopal等人发布的OpenSim™模型。 (2016年)通过增加模型的屈膝范围,更新膝盖肌肉的路径以及修改11块肌肉的力产生特性来实现。与基于现有模型的模拟相比,基于该模型的踏板,跑步和步行的模拟可更好地重现测得的EMG活动-即使两个模型都跟踪相同的特定对象运动学。预测激活的改善与净被动力矩的减少有关。例如,踩踏板时的净被动膝力矩从36.9 N m(现有模型)降低至6.3 N m(精细模型),导致膝部屈肌的共同激活显着降低。改进后的模型可从以下位置获得,适用于分析最大120度的髋部弯曲和140度的膝部弯曲的运动。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号