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In this paper, the research status of muscle tissue morphological model, biophysical model, chronic injury analysis and data collection are reviewed. Muscle shape model is mainly based on line segment, volume and surface modeling methods, muscle dynamic modeling methods are worthy of further exploration. Muscle biophysical properties are based on muscle biological tests, and more efforts are needed to accurately describe the biophysical properties of muscle groups. The model of chronic muscle injury is mainly based on MRI data, and simulation experiments are carried out with the help of simulation platform and algorithm, which can further enhance simplification and optimization of calculation methods. A variety of measuring equipment such as myoelectrometer and depth sensor can be used for acquisition of physical quantities such as muscle deformation and force, and more innovations are expected in data fusion methods and algorithms. Finally, when studying chronic injury of muscle tissue, correct description of the morphology and mechanical properties of muscle tissue is the key to accurate results., authors=SUN Hao, HE Ling, LIU Dan, authorsList=SUN Hao, HE Ling, LIU Dan, authorCompany=Key Laboratory Adcanced Manufacturing Technology of the Ministry of Education, Guizhou University, Guiyang 550025, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242141067047416295, articleId=1242141064333697810, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=肌肉组织慢性损伤研究进展, 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肌肉组织慢性损伤研究进展
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孙昊, 何玲, 刘丹
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    贵州大学现代制造技术教育部重点实验室, 贵阳 550025

通讯作者:

何玲(通信作者),副教授,研究方向为智能康养设备,电子信箱:lhe1@gzu.edu.cn
Research progress of chronic injury of muscle tissue
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出版时间: 2024-05-13 doi: 10.3981/j.issn.1000-7857.2022.12.01971
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长期重复性活动或不正确的姿势使肌肉承受持续应力,人体肌肉组织慢性损伤发病率高。围绕肌肉组织慢性损伤,综述了肌肉组织形态模型、生物物理模型、慢性损伤分析和数据采集方面的研究现状。肌肉形态模型主要基于线段、体积和曲面方法建模,肌肉动态建模方法值得深入探索。肌肉生物物理特性以肌肉生物试验为基础,在准确描述肌肉群生物物理性能方面还需继续投入精力。肌肉慢性损伤模型主要以磁共振成像(MRI)数据为基础,借助仿真平台和算法进行模拟实验,在计算方法的简化和优化方面还可以继续加强。已有肌电仪、深度传感器等多种测量装备可用于肌肉变形和力等物理量的采集,数据与算法的融合方法还期待更多的创新。分析表明,研究肌肉组织的慢性损伤时,正确描述肌肉组织的形态和力学性质是确保得到准确结果的关键。
肌肉组织  /  形态模型  /  生物物理模型  /  慢性损伤分析
Long-term repetitive activities or incorrect postures make muscles bear continuous stress and the incidence of chronic injury of human muscle tissue is high. In this paper, the research status of muscle tissue morphological model, biophysical model, chronic injury analysis and data collection are reviewed. Muscle shape model is mainly based on line segment, volume and surface modeling methods, muscle dynamic modeling methods are worthy of further exploration. Muscle biophysical properties are based on muscle biological tests, and more efforts are needed to accurately describe the biophysical properties of muscle groups. The model of chronic muscle injury is mainly based on MRI data, and simulation experiments are carried out with the help of simulation platform and algorithm, which can further enhance simplification and optimization of calculation methods. A variety of measuring equipment such as myoelectrometer and depth sensor can be used for acquisition of physical quantities such as muscle deformation and force, and more innovations are expected in data fusion methods and algorithms. Finally, when studying chronic injury of muscle tissue, correct description of the morphology and mechanical properties of muscle tissue is the key to accurate results.
muscle tissue  /  morphological model  /  biophysical model  /  chronic injury analysis
孙昊, 何玲, 刘丹. 肌肉组织慢性损伤研究进展. 科技导报, 2024 , 42 (9) : 94 -101 . DOI: 10.3981/j.issn.1000-7857.2022.12.01971
SUN Hao, HE Ling, LIU Dan. Research progress of chronic injury of muscle tissue[J]. Science & Technology Review, 2024 , 42 (9) : 94 -101 . DOI: 10.3981/j.issn.1000-7857.2022.12.01971
2024年第42卷第9期
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doi: 10.3981/j.issn.1000-7857.2022.12.01971
  • 接收时间:2023-01-10
  • 首发时间:2024-06-12
  • 出版时间:2024-05-13
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  • 收稿日期:2023-01-10
  • 修回日期:2024-02-20
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何玲(通信作者),副教授,研究方向为智能康养设备,电子信箱:lhe1@gzu.edu.cn
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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