摘要
为了评价不同的振动驾驶环境对人体舒适性的影响,通过模拟动态驾驶环境实验,采集了人体在不同振动强度下的表面肌电信号(SEMG).对其进行时域分析求得了积分肌电值(IEMG),应用频域分析对其进行特征值提取,得到了局部肌电幅度的中值频率(MF)与振动加速度、振动时间的关系,以及人体肱二头肌、竖脊肌、股二头肌的局部肌电与振动参数间的关系.实验中,借助近红外光谱技术(NIRS)观测与分析了肱二头肌、股二头肌和竖脊肌在不同振动环境下的肌氧含量变化特点,同时监测了脑氧含量的变化趋势,并对各振动环境下的人体舒适性及疲劳进行了主观评价实验.实验研究表明,振动驾驶环境直接影响人体的肌肉疲劳过程和人体的肌氧含量、脑氧含量,不同的振动环境会对人体肌肉疲劳及舒适性产生不同的影响.研究结果可为动态环境机械系统的人-车界面设计及操作舒适度的评定提供客观、有效的技术参考.
To evaluate human comfort under different dynamic driving environment, the IEMG and frequency-domain eigenvalues of SEMG signal under different accelerations were calculated in the simulated dynamic driving environment. Based on experimental datum, the change curves be- tween the partial MF indexes and the acceleration, the time were plotted, including the biceps brachii, erector spinae and biceps femoris. Besides, the characteristic of muscle oxygen content and brain oxygen variation were recorded by NIRS. Meanwhile subjective evaluations of human body comfort and fatigue in different dynamic driving environment were given respectively. The experimental results show that different dynamic driving environment has direct influence on hu- man muscle oxygen content and brain oxygen, further influence on human body comfort and fatigue. Hence the results provide impersonal and efficient references for evaluating the operation comfort and design of human-vehicle interface under dynamic driving environment.
出处
《工程设计学报》
CSCD
北大核心
2010年第4期246-252,共7页
Chinese Journal of Engineering Design
基金
国家自然科学基金资助项目(50675170)
关键词
动态驾驶环境
肌肉疲劳
表面肌电信号
近红外光谱技术
肌氧含量
dynamic driving environment
muscle fatigue
surface electromyography（SEMG）
near infrared spectroscopy（NIRS）
muscle oxygen content
