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人体骨骼肌数字孪生体技术研究进展 被引量:6

Advances in digital twins technology of human skeletal muscle
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摘要 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。 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.
作者 刘丹 何玲 杨砥 章杰 陈家兑(综述) 杨观赐(审校) 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;College of Computer Science and Technology,Guizhou University,Guiyang 550025,P.R.China)
出处 《生物医学工程学杂志》 EI CAS 北大核心 2023年第4期784-791,共8页 Journal of Biomedical Engineering
基金 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。
关键词 骨骼肌数字孪生体 数字孪生体建模 数据采集技术 仿真分析 仿真平台 人体医学图像数据库 Skeletal muscle digital twins Digital twins modeling Data collection technology Simulation analysis Simulation platform Human medical image database
作者简介 通信作者:何玲,529252287@qq.com。
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