摘要
为了了解拖拉机驾驶员颈部疲劳状况,该文在模拟拖拉机倒车作业的基础上,对驾驶员颈部胸锁乳突肌的表面肌电信号进行了测试,选取积分肌电值、平均功率频率、小波分解系数等特征量对肌电信号进行时域、频域以及时频域分析。结果表明:拖拉机驾驶员颈部疲劳后胸锁乳突肌的积分肌电值、平均功率频率、小波分解系数都降低,疲劳前后各特征量存在显著性差异(P<0.05),这些特征量都可以有效评价拖拉机驾驶员的颈部疲劳。
For understanding the fatigue situation of tractor drivers’ neck muscle during operation,the electromyogram signal of sternocleidomastoid muscle was tested by simulating the process of reversing operation. Then analysis was conducted in time domain,frequency domain and time-frequency domain by using the index of integrated electromyogram,mean power frequency and wavelet decomposition coefficients. The results showed that the iEMG,MPF and wavelet decomposition coefficients had downward trend after tractor drivers’ neck became fatigue. There is a significant difference of the iEMG,MPF and wavelet decomposition coefficients before and after fatigue,which can effectively evaluate the tractor drivers’ neck fatigue.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2010年第3期146-150,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
黑龙江省教育厅海外学人资助项目(1153h02)
关键词
拖拉机
疲劳测试
肌电图学
积分肌电值
平均功率频率
小波分解系数
tractors
fatigue testing
electromyography
integrated electromyogram
mean power frequency
wavelet decomposition coefficient
