摘要
通过研究人体双肩背部负重行走时躯干及下肢主肌肉群表面肌电信号,探讨人体肌肉功能状态和疲劳特性,为改进负重方式、负重方法、背包性能、背包设计以及更加符合人体工效学的负重系统提供依据。测试20名实验对象颈肩部、背腰部及腿部主肌肉群在双肩背不同负重载荷下行走的表面肌电信号,利用统计分析软件SPSS16.0对其频域评价指标平均功率频率(MPF)进行数据处理与分析。结果表明,随着负重的增加,男性受试者斜方肌MPF下降最为显著、最易疲劳,女性受试者颈伸肌MPF下降最为显著、最易疲劳,且当负重达到一定重量时表面肌电信号出现显著差异(P<0.05),男性双肩背负重上限值为自身体重的12%,女性双肩背负重上限值为自身体重的9%。
We carried out study on surface electromyogram （sEMG） signal generated from cluster muscles in trunk and lower limbs on condition of human body walking with heavily burdened shoulder to explore functional status and fatigue property of human muscles and to offer an important reference for finding better ways of loading, improving the performance and design of backpack as well as weight-bearing system more suitable for ergonomics. We measured and obtained surface electromyography signals from the primary muscles clusters in neck, shoulder, back and leg of 20 test recipients loaded with different burdens on their shoulders. The eigenvalue of mean power frequency （MPF） were processed with SPSS 16.0. It could be concluded that with the increase of loading weights, male are more likely to be fatigued due to dramatic decrease of trapezius＇ MPF. While for the female test recipients, the cervical extensor muscles＇MPF dropped significantly and were more easily fatigued. Moreover, there was a remarkable difference in terms of electromyography signal before and after the weight reaches certain limit （P〈.05）. The maximum weight limit loaded on shoulders for man is 12% of the total bodyweight while such limit for woman is just 9%.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2016年第3期426-430,共5页
Journal of Biomedical Engineering
基金
国家863计划资助项目(2006AA040201)
十一五国家科技支撑计划重点项目资助(2006BAI22B05)
天津市应用基础及前沿技术研究计划项目资助(13JCZDJC30900)
天津科技大学青年教师创新基金项目资助(2014CXLG24)
关键词
表面肌电
负重行走
肌肉
疲劳
surface electromyogram
weight-bearing walking
muscle
fatigue
