Liu Dan, He Ling, Yang Di, Zhang Jie, Chen Jiadui, Yang Guanci
Key lab of Advanced Manufacturing Technology of Ministry of Education, Guizhou University, Guiyang 550025, P.R. China.
The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang 550001, P.R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Aug 25;40(4):784-791. doi: 10.7507/1001-5515.202210007.
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.
人类骨骼肌通过收缩驱动骨骼运动。将其功能信息嵌入人体形态框架并构建骨骼肌数字孪生体以模拟骨骼肌的物理和生理功能,对于“虚拟生理人”的研究具有重要意义。基于国内外相关文献,本文首先总结了构建骨骼肌数字孪生体的技术框架,然后从骨骼肌数字孪生体建模技术、骨骼肌数据采集技术、模拟分析技术、模拟平台和人体医学图像数据库五个方面进行了综述。在此基础上,指出在骨骼肌模型泛化、精度提升和模型耦合等方面还需要进一步研究。本文总结的构建骨骼肌数字孪生体的方法和手段有望为该领域的研究人员提供参考,所指出的发展方向可作为下一步的研究重点。