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首页> 外文期刊>Biological Cybernetics >Determining all parameters necessary to build Hill-type muscle models from experiments on single muscles
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Determining all parameters necessary to build Hill-type muscle models from experiments on single muscles

机译:从单块肌肉的实验中确定构建希尔型肌肉模型所需的所有参数

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摘要

Characterizing muscle requires measuring such properties as force–length, force–activation, and force–velocity curves. These characterizations require large numbers of data points because both what type of function (e.g., linear, exponential, hyperbolic) best represents each property, and the values of the parameters in the relevant equations, need to be determined. Only a few properties are therefore generally measured in experiments on any one muscle, and complete characterizations are obtained by averaging data across a large number of muscles. Such averaging approaches can work well for muscles that are similar across individuals. However, considerable evidence indicates that large inter-individual variation exists, at least for some muscles. This variation poses difficulties for across-animal averaging approaches. Methods to fully describe all muscle’s characteristics in experiments on individual muscles would therefore be useful. Prior work in stick insect extensor muscle has identified what functions describe each of this muscle’s properties and shown that these equations apply across animals. Characterizing these muscles on an individual-by-individual basis therefore requires determining only the values of the parameters in these equations, not equation form. We present here techniques that allow determining all these parameter values in experiments on single muscles. This technique will allow us to compare parameter variation across individuals and to model muscles individually. Similar experiments can likely be performed on single muscles in other systems. This approach may thus provide a widely applicable method for characterizing and modeling muscles from single experiments.
机译:表征肌肉需要测量诸如力长度,力激活和力速度曲线等属性。这些特征需要大量的数据点,因为既需要确定哪种类型的函数(例如,线性,指数,双曲线)最能代表每个属性,又需要确定相关方程式中的参数值。因此,通常在任何一块肌肉的实验中只能测量到少数几个属性,并且可以通过对大量肌肉的数据求平均来获得完整的特征。这种平均方法可以很好地适用于个体之间相似的肌肉。但是,大量证据表明,至少对于某些肌肉,个体之间存在较大差异。这种差异给跨动物平均方法带来了困难。因此,在单个肌肉实验中完全描述所有肌肉特征的方法将是有用的。棒状昆虫伸肌的先前工作已经确定了描述该肌肉各个属性的功能,并证明了这些等式适用于动物。因此,逐个地表征这些肌肉仅需要确定这些方程式中的参数值,而无需确定方程式。我们在这里介绍的技术可以在单个肌肉的实验中确定所有这些参数值。这种技术将使我们能够比较个体之间的参数变化并分别对肌肉进行建模。类似的实验可能会在其他系统的单个肌肉上进行。因此,该方法可提供一种广泛适用的方法,用于通过单个实验来表征和建模肌肉。

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