Article(id=1282030027915116831, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.08.0401, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1740844800000, receivedDateStr=2025-03-02, revisedDate=1747929600000, revisedDateStr=2025-05-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1783589377621, onlineDateStr=2026-07-09, pubDate=1756310400000, pubDateStr=2025-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783589377621, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783589377621, creator=13701087609, updateTime=1783589377621, updator=13701087609, issue=Issue{id=1282030021623657005, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='8', pageStart='1', pageEnd='276', issueExtLink='null', onlineDate='null', pubDate='1756310400000', pubDateStr='2025-08-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783589376121, creator='13701087609', updateTime=1783589731222, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282031511155228698, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282031511155228699, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=263, endPage=270, ext={EN=ArticleExt(id=1282030028565233952, articleId=1282030027915116831, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Musculoskeletal fatigue assessment method based on biomechanics, columnId=1149735805633081985, journalTitle=China Safety Science Journal, columnName=Occupational health, runingTitle=null, highlight=null, articleAbstract=

To effectively prevent WMSDs caused by cumulative fatigue, this study proposes a fatigue quantification method that integrates computer vision and biomechanical modeling. The method extracts 3D posture data of workers using the MMPose model and builds individualized musculoskeletal models in OpenSim. It reconstructs complete work cycles and simulates muscle loading. By calculating joint reaction forces and muscle activation levels, fatigue indices for joints and muscles are developed. The method is applied to analyze fatigue progression in the lumbar spine during a typical lifting task. Results show that the L5-S1 joint and associated multifidus muscles exhibit significant fatigue accumulation in a typical bending and lifting task. Some muscles show lateral asymmetry in fatigue, and both deep stabilizing and core muscle groups are involved in posture maintenance and load response. The method can dynamically track fatigue changes during work tasks and identify high-risk areas of fatigue, and can be applicable to fatigue risk warning in dynamic, high-load operation scenarios.

, authors=Jiehua HE, Yiyan WANG, Ying MAO, Ruipeng TONG^**, authorsList=Jiehua HE, Yiyan WANG, Ying MAO, Ruipeng TONG, authorCompany=null, correspAuthors=Ruipeng TONG, 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=1282030028850446625, articleId=1282030027915116831, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于生物力学的肌肉骨骼疲劳评估方法, columnId=1149735805817631364, journalTitle=中国安全科学学报, columnName=职业卫生, runingTitle=null, highlight=null, articleAbstract=

为有效预防作业过程中因疲劳累积引发的工作相关肌肉骨骼疾患（WMSDs），提出一种融合计算机视觉与生物力学建模的作业疲劳量化评估方法。该方法基于MMPose模型提取作业人员的三维姿态数据，并结合OpenSim平台建立个体化肌肉骨骼模型，实现完整作业周期动作的重建与肌肉负荷模拟。通过计算关键关节的反作用力与肌肉激活水平，构建关节与肌肉的疲劳指数模型，系统分析腰椎区域在典型弯腰搬运任务中的疲劳演化过程。结果表明：在典型弯腰搬运任务中，L5—S1关节及其相关的多裂肌群呈现出显著的疲劳累积特征，部分肌群存在左右侧疲劳不对称现象，深层稳定肌与核心肌群共同参与姿势维持与负荷响应。该方法能够动态追踪作业过程中的疲劳变化，识别疲劳高风险部位，适用于动态、高负荷作业场景下的疲劳风险预警。

, authors=和杰花, 王益艳, 毛颖, 佟瑞鹏教授^**, authorsList=和杰花, 王益艳, 毛颖, 佟瑞鹏教授, authorCompany=null, correspAuthors=佟瑞鹏教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=5N5VvVWFCopCjXZQwCu5+g==, magXml=bXeFpoFc4EErwlEIJoBp5w==, pdfUrl=null, pdf=JDgtvvRjQtr0G08jQrCTYg==, pdfFileSize=2823571, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=OJbw2OlTx7uaVz7TPwShQQ==, mapNumber=null, fund=null)}, authors=[Author(id=1282030030570111270, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030027915116831, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=hejiehua0324@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282030030775632168, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030027915116831, authorId=1282030030570111270, language=EN, stringName=Jiehua HE, firstName=Jiehua, middleName=null, lastName=HE, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing 10083, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282030030867906857, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030027915116831, authorId=1282030030570111270, language=CN, stringName=和杰花, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=中国矿业大学（北京） 应急管理与安全工程学院，北京 100083, bio={"content":"

和杰花（1998—），女，云南丽江人，博士研究生，主要研究方向为职业健康、工作相关肌肉骨骼疾患风险等。E-mail: hejiehua0324@163.com。

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和杰花（1998—），女，云南丽江人，博士研究生，主要研究方向为职业健康、工作相关肌肉骨骼疾患风险等。E-mail: hejiehua0324@163.com。

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