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首页> 外文期刊>Annals of Biomedical Engineering: The Journal of the Biomedical Engineering Society >Why are Antagonist Muscles Co-activated in My Simulation? A Musculoskeletal Model for Analysing Human Locomotor Tasks
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Why are Antagonist Muscles Co-activated in My Simulation? A Musculoskeletal Model for Analysing Human Locomotor Tasks

机译:为什么拮抗剂肌肉在我的模拟中共同激活? 一种分析人当地任务的肌肉骨骼模型

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Abstract 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 . (IEEE Trans Biomed Eng 63:1–1, 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 SimTK.org and is suitable for analysing movements with up to 120° of hip flexion and 140° of knee flexion. ]]>
机译:摘要当模拟涉及大幅臀部和膝关节屈曲的运动时,现有的“搁板”肌肉骨骼模型是有问题的,例如踩踏的举射,因为它们倾向于产生过量的被动纤维力。本研究的目标是开发一种精炼肌肉骨骼模型,其能够模拟踩踏板和快速运行,除了步行之外,它比现有模型更好地预测肌肉的激活模式。具体而言,我们测试了在模拟中通常观察到的拮抗剂肌肉的异常共激活,如果由底层模型产生的被动力降低,则可以解决。我们精致了OpenSim? rajagopal等人发布的型号。 (IEEE Trans Biomed Eng 63:1-1,2016)通过增加模型的膝关节屈曲范围,更新膝关节肌的路径,并改变十一肌肉的力产生特性。基于该模型的踩踏,运行和行走的模拟再现了比现有模型的模拟更好的测量的EMG活动 - 即使两个模型都跟踪了相同的主题运动学。预测激活的改进与净被动矩的减少有关;例如,踩踏过程中的净无源膝盖矩从36.9?n?n(现有模型)降低到6.3?n?n?n(精制模型),导致膝关节屈肌的共激活剧烈降低。精细模型可从SIMTK.ORG获取,适用于分析高达120°髋部屈曲和140°膝关节弯曲的运动。 ]]>

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