摘要
为了避免操作人员长期处于较差的姿势工作,选取人体上身5个关节进行动作试验,对每个动作变化起主要作用的肌肉块进行了肌电信号测试。通过最大主动收缩法消除不同受试者的肌电信号差异,对肌电百分比值进行归一化和加权平均法处理,根据每个动作变化涉及肌肉的平均生理横断面积,给出复合动作肌肉舒适度指数的计算方法;提出了一套基于表面肌电的肌肉舒适度评价准则,与DELMIA人机仿真软件中的RULA分析结果对比显示,该评价准则具有可行性,适合对操作人员的作业姿势进行评价。
In order to avoid poor posture of long time,the five joints of human were selected for the motion experiments.The sEMG experiments were conducted for muscles that played a main role to motion variations.The sEMG signal differences of different subjects were eliminated by maximum voluntary contraction method,and the EMG percentage values were conducted by normalization and weighted average method.According to the physiological cross-sectional area of muscles involved in action variations,the calculation method of composite motion muscle degree of comfort index was given,and the muscle degree of comfort assessment rules were put forward based on the sEMG.Compared with RULA analysis in DELMIA,the analysis results show that the assessment rules are feasible and suitable for the assessment of staff postures.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2017年第6期708-713,共6页
China Mechanical Engineering
基金
国家自然科学基金资助项目(71501125)
上海市专业学位研究生实践基地建设项目(2035-14-0001-7)
上海市科技创新行动计划资助项目(14111103900)
上海市现代农业产业技术体系建设项目(沪农科产字(2014)第5号)
关键词
表面肌电
肌肉舒适度
评价准则
试验
仿真
surface electromyography(sEMG)
muscle degree of comfort
assessment rule
experiment
simulation