3-D finite-element models of human and monkey fingertips to investigate the mechanics of tactile sense
3-D finite-element models of human and monkey fingertips to investigate the mechanics of tactile sense
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DOI：
10.1115/1.1613673
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发表时间：
2003-10-01
影响因子：
1.7
通讯作者：
Srinivasan, MA
中科院分区：
文献类型：
--
作者：
Dandekar, K;Raju, BI;Srinivasan, MA
皮肤和皮下组织的生物力学在人类的触觉中起着重要的作用。它控制着皮肤与物体接触的机制，机械信号通过皮肤的传递，以及它们被机械感受器转导成神经信号。为了更好地理解触觉机制，有必要建立物体施加在皮肤上的载荷、机械感受器位置的应力/应变状态以及由此产生的神经反应之间的定量关系。为了实现这一目标，开发了具有逼真外部几何形状的人类和猴子指尖的三维有限元模型。通过计算指尖模型变形的火线载荷，表明需要多层模型来匹配先前获得的皮肤表面位移的体内数据。通过数值实验确定了各层弹性模量的最佳比，并与经验数据进行了比较。通过将计算结果与经验确定的各种压痕的力-位移关系进行匹配，得到了皮肤层弹性模量的数值。最后。作为该模型与触觉神经反应研究的相关性的一个例子，多层三维有限元模型被证明能够预测缓慢适应的I型（SA-I）机械感受器对复杂物体形状的压痕的反应。
The biomechanics of skin and underlying tissues plays a fundamental role in the human,sense of touch. It governs the mechanics of contact between the skin and an object, the transmission of the mechanical signals through the skin, and their transduction into neural signals by the mechanoreceptors. To better understand the mechanics of touch, it is necessary to establish quantitative relationships between the loads imposed on the skin by an object, the state of stresses/strains at mechanoreceptor locations, and the resulting neural response. Towards this goal, 3-D finite-element models of human and monkey fingertips with realistic external geometries were developed. By computing fingertip model deformations tinder line loads, it was shown that a multi-layered model was necessary to match previously obtained in vivo data on skin surface displacements. An optimal ratio of elastic moduli of the layers was determined through numerical experiments whose results were matched with empirical data. Numerical values of the elastic moduli of the skin layers were obtained by matching computed results with empirically determined force-displacement relationships for a variety of indentors. Finally. as an example of the relevance of the model to the study of tactile neural response, the multilayered 3-D finite-element model was shown to be able to predict the responses of the slowly adapting type I (SA-I) mechanoreceptors to indentations by complex object shapes.