人体血氧饱和度检测中消除脉搏波信号高频噪声的方法

基于光电容积脉搏波的方法可以用于人体血氧饱和度的无创检测，基于光电容积脉搏波测量时，由于信号采集过程中随机噪声等干扰，脉搏波信号中存在高频噪声，影响最终的血氧饱和度测量精度。提出采用基于连续均方误差(CMSE)准则的经验模态分解(EMD)法消除脉搏波信号中的高频噪声。利用自行研制的光电容积脉搏波采集装置采集脉搏波信号，应用该方法消除信号中高频噪声，并采用信号的频谱进行效果评价。结果表明：该方法有效消除了高频噪声，这将有利于人体血氧饱和度无创检测精度的提高。

The Method of Removing High-Frequency Noise in Pulse Wave Signal in Detecting Oxygen Saturation of Human

Photoplethysmography can be used to noninvasively detect oxygen saturation of human. When detecting by photoplethysmography, because of the disturbance of random noise in the process of signal acquisition, there is high-frequency noise, which affects the final prediction accuracy of oxygen saturation. Therefore empirical mode decomposition(EMD) method based on consecutive mean square error(CMSE) criterion is employed, which can remove high-frequency noise from pulse wave signal. The present paper used a self-developed photoplethysmography acquiring device to obtain the pulse wave signal, employed the above mentioned method to remove high-frequency noise, and adopted frequency spectrum of the signal to evaluate the effect. The results showed that: this method could effectively remove high-frequency noise from pulse wave signal. This would be beneficial for improving the prediction accuracy of oxygen saturation of human.