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首页> 外文期刊>Journal of Biomechanics >Does a two-element muscle model offer advantages when estimating ankle plantar flexor forces during human cycling?
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Does a two-element muscle model offer advantages when estimating ankle plantar flexor forces during human cycling?

机译:在人类循环期间估计脚踝跖屈力时,双元素肌肉模型是否提供了优势?

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摘要

Traditional Hill-type muscle models, parameterized using high-quality experimental data, are often "too weak" to reproduce the joint torques generated by healthy adults during rapid, high force tasks. This study investigated whether the failure of these models to account for different types of motor units contributes to this apparent weakness; if so, muscle-driven simulations may rely on excessively high muscle excitations to generate a given force. We ran a series of forward simulations that reproduced measured ankle mechanics during cycling at five cadences ranging from 60 to 140 RPM. We generated both "nominal" simulations, in which an abstract ankle model was actuated by a 1-element Hill-type plantar flexor with a single contractile element (CE), and "test" simulations, in which the same model was actuated by a 2-element plantar flexor with two CEs that accounted for the force-generating properties of slower and faster motor units. We varied the total excitation applied to the 2-element plantar flexor between 60 and 105% of the excitation from each nominal simulation, and we varied the amount distributed to each CE between 0 and 100% of the total. Within this test space, we identified the excitation level and distribution, at each cadence, that best reproduced the plantar flexor forces generated in the nominal simulations. Our comparisons revealed that the 2-element model required substantially less total excitation than the 1-element model to generate comparable forces, especially at higher cadences. For instance, at 140 RPM, the required excitation was reduced by 23%. These results suggest that a 2-element model, in which contractile properties are "tuned" to represent slower and faster motor units, can increase the apparent strength and perhaps improve the fidelity of simulations of tasks with varying mechanical demands. (C) 2017 Elsevier Ltd. All rights reserved.
机译:传统的山型肌肉模型,使用高质量的实验数据参数化,通常是“太弱”,以在快速,高力任务期间再现健康成年人产生的联合扭矩。本研究调查了这些模型的失败是否考虑了不同类型的电机单元有助于这种明显的弱点;如果是这样,肌肉驱动的模拟可能依赖于过高的肌肉激励以产生给定的力。我们运行了一系列前向模拟​​,可在循环期间再现测量的脚踝力学,从60至140 rpm的5个节奏。我们生成了“标称”模拟,其中一个抽象的脚踝模型由单个收缩元件(CE)的1元山型Purtorar屈曲和“测试”模拟,其中相同的模型由A驱动2元素Plantar屈肌,两个CES占电机单元较慢和更快的力的力。我们改变了从每个标称模拟的60到105%的2元跖屈施加到2元素的植物屈曲的总激发,并且我们将分布到每种CE的每种CE的量变化为0%至100%。在该测试空间内,我们确定了每个节奏的激发水平和分布,最佳再现在标称模拟中产生的跖屈。我们的比较显示,2元素模型需要比1元模型的总激发大大更少,以产生可比力,尤其是在更高的节奏。例如,在140rpm下,所需的激发减少了23%。这些结果表明,一个2元件模型,其中收缩性能“调谐”代表较慢和更快的电机单元,可以提高表观强度,也许改善了不同机械需求的任务模拟的保真度。 (c)2017 Elsevier Ltd.保留所有权利。

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