[Advances in digital twins technology of human skeletal muscle]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Aug 25;40(4):784-791. doi: 10.7507/1001-5515.202210007.
[Article in Chinese]

Abstract

The human skeletal muscle drives skeletal movement through contraction. Embedding its functional information into the human morphological framework and constructing a digital twin of skeletal muscle for simulating physical and physiological functions of skeletal muscle are of great significance for the study of "virtual physiological humans". Based on relevant literature both domestically and internationally, this paper firstly summarizes the technical framework for constructing skeletal muscle digital twins, and then provides a review from five aspects including skeletal muscle digital twins modeling technology, skeletal muscle data collection technology, simulation analysis technology, simulation platform and human medical image database. On this basis, it is pointed out that further research is needed in areas such as skeletal muscle model generalization, accuracy improvement, and model coupling. The methods and means of constructing skeletal muscle digital twins summarized in the paper are expected to provide reference for researchers in this field, and the development direction pointed out can serve as the next focus of research.

人体骨骼肌通过收缩带动骨骼运动,将其功能性信息嵌入人体形态框架,构建骨骼肌数字孪生体进行骨骼肌物理及生理功能模拟,对“虚拟生理人”研究具有重要意义。本文结合国内外的相关文献,首先归纳总结了骨骼肌数字孪生体构建技术构架,然后分别从骨骼肌数字孪生体建模技术、数据采集技术、仿真分析技术、仿真平台、人体医学图像数据库五个方面进行综述。在此基础上,本文指出还需要在骨骼肌模型泛化、精度提升、模型耦合等方面进行深入研究。本文通过综述骨骼肌数字孪生体构建方法和手段,期望能够为该领域的研究人员提供参考,而本文所指出的发展方向也可作为今后值得关注的课题内容。.

Keywords: Data collection technology; Digital twins modeling; Human medical image database; Simulation analysis; Simulation platform; Skeletal muscle digital twins.

Publication types

  • English Abstract

MeSH terms

  • Computer Simulation
  • Databases, Factual
  • Humans
  • Movement*
  • Muscle, Skeletal
  • Technology*

Grants and funding

国家自然科学基金地区基金项目(62163007);贵州省科技计划项目(黔科合支撑[2021]一般439,黔科合支撑[2023]一般124,黔科合支撑[2023]一般117,黔科合支撑[2023]一般118),黔科合平台人才[2020]6007)