摘要
通过设计一种高输入阻抗,低噪,抗干扰性强的前端表面肌电信号(SEMG)采集器将驾驶员的腰部肌肉疲劳信号采集到DSP处理器上。采用小波分析的方法确定肌肉疲劳过程中表面肌电信号的特征。选择与M波形状相似的gaus1小波函数,对其两个半波进行小波变换,分别分析两个半波在时域波形的拉伸程度,确定以小波变换尺度为主要依据的肌肉疲劳指数,实现疲劳状态在DSP处理器上的定量描述。从而实现疲劳驾驶检测。
By designing a kind of high impedance, low noise, the anti - jamming strongly surface muscle telecommunication number (SEMG) data acquisition machine collects the pilot's loins muscular fatigue signal and send it to the processor of DSP. Adopting wavelet Analysis method in a muscular fatigue processdistills the characteristic of the surface muscletelecommunication number. Chose gansl wavelet function as like M - wave shape and transform two halves and analyze two halves wave respectively at atime- area's stretch the degree to affirmmuscular fatigue grade on basis of wavelet transformation dimensions and implement ration description of muscular fatigue grade on DSP. Thus carry out muscular fatigue detection.
出处
《医疗装备》
2005年第12期9-12,共4页
Medical Equipment