A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control
A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control
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DOI：
10.1007/s10439-005-3320-7
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发表时间：
2005-06-01
影响因子：
3.8
通讯作者：
Delp, SL
中科院分区：
文献类型：
--
作者：
Holzbaur, KRS;Murray, WM;Delp, SL
肌肉骨骼系统的生物力学模型经常用于研究神经肌肉控制并模拟手术程序。为了广泛适用，用户必须可以访问模型，提供肌肉和关节的准确表示，并捕获关节之间的重要相互作用。我们已经开发了上肢的模型，其中包括15度的自由度，代表肩膀，肘部，前臂，手腕，拇指和食指，以及越过这些关节的50个肌肉舱。每个肌肉的每个关节的运动学和力生成参数均来自实验数据。该模型估计了各种姿势的每种肌肉的肌肉长度和矩臂。给定肌肉激活的模式，该模型还估计了肌肉力和关节力矩。将每个肌肉群（例如肘部屈肌）的力矩臂和最大矩产能与实验数据进行比较，以评估模型的准确性。这些比较表明，使用该模型估算的臂臂和关节力矩捕获了上肢几何和力学的重要特征。该模型还揭示了关节之间的耦合，例如随着腕部伸展而增加的被动指屈矩。研究人员可以通过http://nmbl.stanford.edu提供计算机模型。
Biomechanical models of the musculoskeletal system are frequently used to study neuromuscular control and simulate surgical procedures. To be broadly applicable, a model must be accessible to users, provide accurate representations of muscles and joints, and capture important interactions between joints. We have developed a model of the upper extremity that includes 15 degrees of freedom representing the shoulder, elbow, forearm, wrist, thumb, and index finger, and 50 muscle compartments crossing these joints. The kinematics of each joint and the force-generating parameters for each muscle were derived from experimental data. The model estimates the muscle-tendon lengths and moment arms for each of the muscles over a wide range of postures. Given a pattern of muscle activations, the model also estimates muscle forces and joint moments. The moment arms and maximum moment-generating capacity of each muscle group (e.g., elbow flexors) were compared to experimental data to assess the accuracy of the model. These comparisons showed that moment arms and joint moments estimated using the model captured important features of upper extremity geometry and mechanics. The model also revealed coupling between joints, such as increased passive finger flexion moment with wrist extension. The computer model is available to researchers at http://nmbl.stanford.edu.