中国组织工程研究

中国组织工程研究 ›› 2010, Vol. 14 ›› Issue (35): 6475-6478.doi: 10.3969/j.issn.1673-8225.2010.35.004

• 数字化骨科 digital orthopedics • 上一篇    下一篇

基于反向动力学的人体肌肉力预测平台

唐  刚，王洪生，张希安，王成焘   

  1. 上海交通大学机械与动力工程学院，上海市 200240
  • 出版日期:2010-08-27 发布日期:2010-08-27
  • 通讯作者: 王成焘，教授，上海交通大学机械与动力工程学院，上海市 200240 orient.tom@gmail.com
  • 作者简介:唐刚☆，男，1982年生，重庆市人，汉族，上海交通大学在读博士，主要从事人体骨肌生物力学研究。 victoryt123@126.com
  • 基金资助:

    国家自然科学基金重大国际合作研究项目(30810103908)“亚洲人种髋、膝关节特性研究与人工髋、膝关节基本设计”及国家自然科学基金重点课题(30530230)“中国力学虚拟人”资助。

Inverse dynamics-based platform for human muscle force estimation

Tang Gang, Wang Hong-sheng, Zhang Xi-an, Wang Cheng-tao   

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai  200240, China
  • Online:2010-08-27 Published:2010-08-27
  • Contact: Wang Cheng-tao, Professor, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China orient.tom@gmail.com
  • About author:Tang Gang☆, Studying for doctorate, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China victoryt123@126.com
  • Supported by:

    the International Cooperative Program of the National Natural Science Foundation of China, No. 30810103908*; the National Natural Science Foundation of China, No. 30530230*

PDF

647

被引次数

9

摘要：

背景：目前，国外的商业化软件主要有SIMM、Visual 3-D(C-Motion公司)、Anybody(Anybody Technology)以及Adams(MSC 软件公司)，开源软件主要有OpenSim，而国内此类软件的开发比较缓慢。肌肉力预测对于研究神经肌肉协调以及分析运动项目起着非常重要的作用，同时也可以发现病态运动的来源，为康复计划提供科学依据。
目的：从全新的角度，完整架构基于反向动力学的人体肌肉力预测平台。
方法：详细阐述了基于优化算法的反向动力学人体肌肉力预测平台(MFE-2)的架构过程。该平台可以分析各种运动状态下肌肉力大小，以正常步态为例，分析了该运动过程中上肢主要肌肉的受力情况。
结果与结论：通过对一健康人体的正常步态上肢两块典型肌肉(肱三头肌侧头和肱二头肌短头)进行分析，计算结果与相关参考文献基本一致。

关键词: 肌肉力, 骨肌系统模型, 关节坐标系, 优化算法, 动力学

Abstract:

BACKGROUND: The foreign business software mainly includes SIMM, Visual 3-D (C-Motion Inc.), Anybody (Anybody Technology) and Adams (MSC Software Corporation); open source software mainly includes OpenSim. Domestic development of such software is slow. Muscle force estimation plays an important role in studying neuromuscular coordination and analyzing athletic performance. It can also be used to identify the sources of pathological movement and establish a scientific basis for treatment planning.
OBJECTIVE: From a new perspective, a perfect platform was built based on inverse dynamics for the human muscle force estimation.
METHODS: This paper describes the developed process of the platform for muscle force estimation (MFE-2) which based on the optimization algorithm. This platform can analyze muscle force in the state of various human movements. In addition, with a normal gait as an example, muscle force of the major muscles of upper limb was analyzed.
RESULTS AND CONCLUSION: Two typical muscles (triceps brachii lateral and biceps brachii short) of a health subject in gait were analyzed, and the calculated result was basically consistent with the relevant references.

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