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首页> 外文期刊>The Journal of Experimental Biology >A new model predicting locomotor cost from limb length via force production
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A new model predicting locomotor cost from limb length via force production

机译:通过力产生从肢体长度预测运动成本的新模型

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Notably absent from the existing literature is an explicit biomechanical model linking limb design to the energy cost of locomotion, COL. Here, I present a simple model that predicts the rate of force production necessary to support the body and swing the limb during walking and running as a function of speed, limb length, limb proportion, excursion angle and stride frequency. The estimated rate of force production is then used to predict COL via this model following previous studies that have linked COL to force production. To test this model, oxygen consumption and kinematics were measured in nine human subjects while walking and running on a treadmill at range of speeds. Following the model, limb length, speed, excursion angle and stride frequency were used to predict the rate of force production both to support the body's center of mass and to swing the limb. Model-predicted COL was significantly correlated with observed COL, performing as well or better than contact time and Froude number as a predictor of COL for running and walking, respectively. Furthermore, the model presented here predicts relationships between COL, kinematic variables and body size that are supported by published reduced-gravity experiments and scaling studies. Results suggest the model is useful for predicting COL from anatomical and kinematic variables, and may be useful in intra- and inter-specific studies of locomotor anatomy and performance.
机译:现有文献中显然没有一个明确的生物力学模型,该模型将肢体设计与运动的能量成本COL相关联。在这里,我提出一个简单的模型,该模型预测速度和肢体长度,肢体比例,偏移角度和步幅频率的函数,以在行走和跑步过程中支撑身体和摆动肢体所需的力量产生率。然后,在先前将COL与力量产生联系起来的研究之后,估计的力量产生速率将通过此模型用于预测COL。为了测试该模型,在跑步机上以一定速度范围行走和跑步时,对9位人体受试者进行了耗氧量和运动学测量。根据模型,肢体的长度,速度,偏移角度和步幅频率被用来预测产生力的速率,以支持人体的质心并摆动肢体。模型预测的COL与观察到的COL显着相关,其表现分别好于或快于接触时间和弗洛德数,分别作为跑步和步行的COL预测指标。此外,此处介绍的模型可预测COL,运动学变量与体重之间的关系,这些关系已由已发表的重力试验和定标研究支持。结果表明该模型可用于根据解剖学和运动学变量预测COL,并且可用于运动解剖和性能的种内和种间研究。

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