光电脉搏波信号处理中呼吸干扰的抑制

Suppression of the Respiration Interference in the Processing of the Photoelectric Pulse Wave Signal

动态光谱的检测精度与光电脉搏波的幅值检测精度直接相关.为了获取较高的幅值检测精度,抑制光电脉搏波中的呼吸干扰,采用基于相干平均的脉搏波特征参数重构滤波和小波变换相结合的方法对光电脉搏波原始测量信号进行处理.首先用相干平均法获取脉搏波特征参数并重构光电脉搏波信号;然后对原始信号减去光电脉搏波后的剩余部分进行小波频率分析,并提取呼吸干扰.处理结果表明,本文的方法可以提取到高精度的光电脉搏波幅值信息,抑制大部分的呼吸干扰,从而改善动态光谱的检测精度.

The measurement accuracy of the dynamic spectrum is correlated with the accuracy of amplitude measurement of the photoelectric pulse wave. In order to get higher accuracy of amplitude measurement and suppress the respiration interference of the photoelectric pulse wave, the original pulse wave signal was processed by the characteristic parameter reconstruction based on the coherent averaging method combined with the wavelet analysis. Firstly, characteristic parameter of the original pulse wave was calculated by the coherent averaging method and the pure pulse wave was reconstructed. Then the wavelet analysis was applied on the rest of the original signal having been removed the pulse wave to extract the respiration signal. Experimental results show that by the method presented, high accuracy of amplitude measurement of the pulse wave was acquired, the respiration interference was suppressed and the measurement accuracy of the dynamic spectrum was improved.