Muscle mass in musculoskeletal models.
Muscle mass in musculoskeletal models.
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DOI：
10.1016/j.jbiomech.2010.04.004
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发表时间：
2010-08-10
影响因子：
2.4
通讯作者：
Pai, Dinesh K.
中科院分区：
文献类型：
--
作者：
Pai, Dinesh K.
当前大多数肌肉骨骼动力学模型将肌肉的质量与其身体部分结合在一起，然后模拟通过关节连接的这些身体部分的动力学。如图所示，这种流行的方法会导致系统的惯性矩阵出现错误，从而导致动力学的各个方面出现错误。创建了两个简化的数学模型来捕获单关节和双关节肌肉的相关特征，并对误差进行了分析。该模型还应用于两个生理示例：使人类踝关节跖屈的小腿三头肌和大鼠后肢的股二头肌后肌。对由于集总引起的误差的分析表明这些误差可能很大。尽管在某些姿势中可以减少误差，但在使用分段集总的模型中不能轻易消除误差。讨论了解决这些错误的一些选项。
Most current models of musculoskeletal dynamics lump a muscle’s mass with its body segment, and then simulate the dynamics of these body segments connected by joints. As shown here, this popular approach leads to errors in the system’s inertia matrix and hence in all aspects of the dynamics. Two sim-plified mathematical models were created to capture the relevant features of monoarticular and biarticular muscles, and the errors were analyzed. The models were also applied to two physiological examples: the triceps surae muscles that plantar flex the human ankle and the biceps femoris posterior muscle of the rat hind limb. The analysis of errors due to lumping showed that these errors can be large. Although the errors can be reduced in some postures, they cannot be easily eliminated in models that use segment lumping. Some options for addressing these errors are discussed.
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