Smith Simeon L, Hunter Eric J
Center for Science and Engineering, New York University Abu Dhabi, 5th Street, Abu Dhabi, United Arab Emirates.
Department of Communicative Sciences and Disorders, Michigan State University, 1026 Red Cedar Road, East Lansing, Michigan 48824.
J Acoust Soc Am. 2014 Apr;135(4):2041-51. doi: 10.1121/1.4866173.
Accurate definitions of both passive and active tissue characteristics are important to laryngeal muscle modeling. This report tested the efficacy of a muscle model which added active stress components to an accurate definition of passive properties. Using the previously developed three-network Ogden model to simulate passive stress, a Hill-based contractile element stress equation was utilized for active stress calculations. Model input parameters were selected based on literature data for the canine cricothyroid muscle, and simulations were performed in order to compare the model behavior to published results for the same muscle. The model results showed good agreement with muscle behavior, including appropriate tetanus response and contraction time for isometric conditions, as well as accurate stress predictions in response to dynamic strain with activation.
准确界定被动和主动组织特性对于喉肌建模十分重要。本报告测试了一种肌肉模型的效能,该模型在准确界定被动特性的基础上增加了主动应力成分。利用先前开发的三网络奥格登模型来模拟被动应力,基于希尔方程的收缩元件应力方程用于计算主动应力。模型输入参数根据犬环甲肌的文献数据进行选择,并进行模拟,以便将模型行为与同一肌肉已发表的结果进行比较。模型结果与肌肉行为表现出良好的一致性,包括等长条件下适当的强直收缩反应和收缩时间,以及激活时对动态应变的准确应力预测。