摘要
背景:表面肌电已经被广泛用于监测肌肉疲劳,但传统肌电指标通常针对于单块肌肉,无法评价一组肌肉在疲劳过程中的变化。目的:建立肌肉功能网络,提取复杂网络参数,研究不同疲劳程度下的肌肉功能网络拓扑特性变化,为疲劳的监测、预防提供理论和方法依据。方法:11名受试者进行直到力竭的50%1RM单腿下肢蹬伸运动,同步采集股直肌、股外侧肌、股内侧肌、股二头肌长头、胫骨前肌、腓肠肌外侧肌、腓肠肌内侧肌7块肌肉的肌电信号,以及心电信号和Borg CR-10量表评分;根据Borg CR-10量表评分划分为轻度、中度和重度三个疲劳阶段,采用心率和心率变异性验证疲劳阶段划分的有效性;以7块肌肉为节点,使用肌肉信号的相干性构建肌肉功能网络,提取聚类系数、平均加权度、全局效率、特征向量中心性4个复杂网络参数;提取肌电信号的均方值振幅、中位频率、瞬时平均频率和共激活比4种指标,并在3种疲劳程度下进行比较。结果与结论:①3种疲劳阶段在心率及心率变异性上产生显著性差异,证明了疲劳阶段划分的有效性;②对于不同肌肉在3种疲劳程度下的肌电指标:均方值振幅和共激活比未表现出差异,中位频率在股外侧肌、股内侧肌和股二头肌长头表现出稳健的疲劳趋势,瞬时平均频率则在股直肌、股外侧肌、股内侧肌和股二头肌长头表现出稳健的疲劳趋势;瞬时平均频率的性能优于中位频率和均方值振幅,但三者仅在主要工作肌群能够获得较好的稳健趋势,共激活比不受疲劳因素的影响;③股外侧肌-股内侧肌、股外侧肌-股二头肌长头、股外侧肌-腓肠肌内侧肌和股内侧肌-股二头肌长头连接强度逐渐增加,平均加权度、聚类系数和全局效率在疲劳后表现出显著差异,并且与疲劳程度之间显著相关。结果表明:肌肉功能网络内的连通强度变化能够反映疲劳过程�
BACKGROUND:Surface electromyography has been extensively utilized for monitoring muscle fatigue.However,traditional electromyographic metrics typically focus on individual muscles and fail to assess the variations in a muscle group during the fatigue process.OBJECTIVE:To establish a muscle functional network to extract complex network parameters and investigate the topological property changes of the muscle functional network under different levels of fatigue,aiming to provide theoretical and methodological foundations for fatigue monitoring and prevention.METHODS:Eleven participants performed single-leg leg press exercise at 50%of one-repetition maximum until exhaustion.Simultaneously,electromyographic signals of seven muscles(rectus femoris,vastus lateralis,vastus medialis,biceps femoris,tibialis anterior,lateral gastrocnemius,and medial gastrocnemius),electrocardiographic signals,and Borg CR-10 scale scores were collected.The Borg CR-10 scale was used to categorize three fatigue stages:mild,moderate,and severe.Heart rate and heart rate variability were calculated to validate the effective division of fatigue stages.Using the coherence of muscle signals,a muscle functional network was constructed with the seven muscles as nodes,and four complex network parameters(clustering coefficient,average weighted degree,global efficiency,and eigenvector centrality)were extracted.Additionally,four electromyographic indices(root mean square,median frequency,instantaneous mean frequency,and co-activation ratio)were extracted and compared under the three levels of fatigue.RESULTS AND CONCLUSION:(1)Differences in heart rate and heart rate variability were observed across three fatigue stages,indicating the effectiveness of fatigue stage delineation.(2)Electromyographic indicators for different muscles under three levels of fatigue:root mean square and co-activation ratio showed no differences;however,median frequency exhibited robust fatigue trends in vastus lateralis,vastus medialis,and biceps femoris,while instantaneous mean
作者
张陈
冉令华
呼慧敏
张欣
周子健
徐红旗
史冀鹏
Zhang Chen;Ran Linghua;Hu Huimin;Zhang Xin;Zhou Zijian;Xu Hongqi;Shi Jipeng(Research Centre for Assessment and Enhancement of Athletic Ability,School of Physical Education and Sports,Northeast Normal University,Changchun 130024,Jilin Province,China;Ergonomics Laboratory,China National Institute of Standardization,Beijing 100191,China;SAMR Key Laboratory of Human Factors and Ergonomics,China National Institute of Standardization,Beijing 100820,China;School of Instrumentation Science and Electrical Engineering,Jilin University,Changchun 130061,Jilin Province,China)
出处
《中国组织工程研究》
CAS
北大核心
2025年第12期2513-2520,共8页
Chinese Journal of Tissue Engineering Research
基金
国家重点研发计划(2023YFF0615902),项目负责人:冉令华
国家市场监管重点实验室(人因与工效学)开放基金(2023SYSKF02002),项目负责人:徐红旗
国家市场监管总局科技计划项目(2023MK192),项目负责人:呼慧敏
中央基本科研业务费项目(522023Y-10381),项目负责人:呼慧敏。
