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首页> 外文期刊>The Journal of Experimental Biology >A new model for force generation by skeletal muscle, incorporating work-dependent deactivation
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A new model for force generation by skeletal muscle, incorporating work-dependent deactivation

机译:一种新的骨骼肌力量生成模型,结合了与工作有关的去激活功能

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摘要

A model is developed to predict the force generated by active skeletal muscle when subjected to imposed patterns of lengthening and shortening, such as those that occur during normal movements. The model is based on data from isolated lamprey muscle and can predict the forces developed during swimming. The model consists of a set of ordinary differential equations, which are solved numerically. The model's first part is a simplified description of the kinetics of Ca2+ release from sarcoplasmic reticulum and binding to muscle protein filaments, in response to neural activation. The second part is based on A. V. Hill's mechanical model of muscle, consisting of elastic and contractile elements in series, the latter obeying known physiological properties. The parameters of the model are determined by fitting the appropriate mathematical solutions to data recorded from isolated lamprey muscle activated under conditions of constant length or rate of change of length. The model is then used to predict the forces developed under conditions of applied sinusoidal length changes, and the results compared with corresponding data. The most significant advance of this model is the incorporation of work-dependent deactivation, whereby a muscle that has been shortening under load generates less force after the shortening ceases than otherwise expected. In addition, the stiffness in this model is not constant but increases with increasing activation. The model yields a closer prediction to data than has been obtained before, and can thus prove an important component of investigations of the neural-mechanical-environmental interactions that occur during natural movements.
机译:开发了一个模型来预测活动骨骼肌在受到施加的延长和缩短模式(例如在正常运动过程中出现的那些模式)时产生的力。该模型基于来自孤立的七lamp鳗肌肉的数据,可以预测游泳过程中产生的力量。该模型由一组常微分方程组成,这些方程通过数值求解。该模型的第一部分是对响应神经激活的从肌浆网释放Ca2 +以及与肌蛋白丝结合的动力学的简化描述。第二部分基于A.V.Hill的肌肉力学模型,由一系列弹性和收缩元素组成,后者遵循已知的生理特性。通过将适当的数学解与在恒定长度或长度变化率条件下激活的孤立七lamp鳗肌肉记录的数据拟合,来确定模型的参数。然后使用该模型预测在施加正弦波长度变化的条件下产生的力,并将结果与​​相应数据进行比较。该模型最重要的进步是并入了与工作有关的去激活功能,在这种情况下,已在负载作用下缩短的肌肉在停止缩短后产生的力小于其他预期。另外,该模型中的刚度不是恒定的,而是随着激活的增加而增加。该模型对数据的预测比以前更接近,因此可以证明是自然运动过程中发生的神经-机械-环境相互作用研究的重要组成部分。

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