Raikova R T, Aladjov H Ts
Bulgarian Academy of Sciences, Centre of Biomedical Engineering, Acad. G. Bonchev Str., Bl. 105, 207A, Sofia 1113, Bulgaria.
Comput Biol Med. 2005 Jun;35(5):373-87. doi: 10.1016/j.compbiomed.2004.03.001.
One fundamental problem when trying to calculate the force developed by one muscle during a motor task is the muscle model. Usually, one control signal is juxtaposed to one musclotendon unit. The question is how is this signal connected to the activation of the motor units (MUs) that compose the muscle and fire differently. The aim of the paper is to compare a Hill-type muscle model to a model composed of MUs. A fast elbow flexion performed by only one muscle is considered. The activation necessary for performing the motion and the corresponding frequencies are calculated for cases of fast and slow muscles using Hill-type model. Then the muscle is modelled as a mixture of [774 MUs] with uniformly distributed twitch parameters. Using MotCo software the moments of impulsation of all MUs and their mechanical responses are predicted. The activation characteristics obtained by the two muscle models are compared. It is concluded that there are two essential parameters for proper muscle modelling: the lead-time and the MUs composition.
在尝试计算运动任务中某一块肌肉产生的力量时，一个基本问题是肌肉模型。通常，一个控制信号与一个肌肉肌腱单元相对应。问题在于这个信号是如何与构成肌肉且放电方式不同的运动单位（MU）的激活相联系的。本文的目的是将希尔型肌肉模型与由运动单位组成的模型进行比较。考虑仅由一块肌肉进行的快速屈肘动作。使用希尔型模型计算快速和慢速肌肉情况下执行该动作所需的激活以及相应频率。然后将肌肉建模为由[774个运动单位]组成的混合物，其抽搐参数均匀分布。使用MotCo软件预测所有运动单位的冲量矩及其机械响应。比较两种肌肉模型获得的激活特征。得出结论，正确的肌肉建模有两个关键参数：提前时间和运动单位组成。
Zotero 插件