School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
J Biomech. 2010 Mar 3;43(4):701-13. doi: 10.1016/j.jbiomech.2009.10.020. Epub 2009 Dec 3.
The development of a biomechanical model for a human finger is faced with many challenges, such as extensor mechanism complexity, statistical indeterminacy and suitability of computational processes. Motivation for this work was to develop a computer model that is able to predict the internal loading patterns of tendons and joint surfaces experienced by the human finger, while mitigating these challenges. Proposed methodology was based on a non-linear optimising mathematical technique with a criterion of boundary conditions and equality equations, maximised against unknown parameters to reduce statistical indeterminacy. Initial validation was performed via the simulation of one dynamic and two static postures case studies. Past models and experiments were used, based on published literature, to verify the proposed model's methodology and results. The feasibility of the proposed methodology was deemed satisfactory as the simulated results were concordant with in-vivo results for the extrinsic flexors.
开发一个人类手指的生物力学模型面临着许多挑战，如伸肌机制的复杂性、统计不确定性以及计算过程的适用性。这项工作的动机是开发一个能够预测人类手指所经历的肌腱和关节表面内部加载模式的计算机模型，同时减轻这些挑战。所提出的方法基于一种具有边界条件和等式标准的非线性优化数学技术，针对未知参数进行最大化，以减少统计不确定性。初步验证是通过模拟一个动态和两个静态姿势的案例研究来进行的。基于已发表的文献，使用过去的模型和实验来验证所提出模型的方法和结果。由于模拟结果与外在屈肌的体内结果一致，因此该方法的可行性被认为是令人满意的。
