一种消除脉搏波信号中呼吸基线漂移的方法

该文提出一种在经验模式分解的过程中结合小波变换的方法，来消除呼吸基线漂移的影响。首先通过经验模态分解将脉搏波信号分解为若干内在模式分量，并判断出含有呼吸基线漂移信息的分量，再利用小波变换将这些分量分解，将代表呼吸基线漂移的小波细节置零，信号重构后就达到了消除呼吸基线的目的。利用自行研制的测量装置采集的脉搏波信号进行实验验证，并采用信号交直流比进行效果评价。结果表明该方法有效地消除了呼吸基线漂移，这将有利于血氧饱和度等人体生理参数无创检测精度的提高。

The Method of Removing Breathing Baseline in Pulse Wave Signal

A method which combines empirical mode decomposition with wavelet transform is employed to remove breathing baseline draft from pulse wave signal. First of al , this method decomposes pulse wave signal into several intrinsic mode functions and judges the intrinsic mode function which contains the information of breathing baseline draft. And then wavelet transform is used to decompose these intrinsic mode functions, and the detail coefficients representing breathing baseline draft are set into zero. At last, the signal is rebuilt. This can realize removing breathing baseline draft. A self-developed measurement device was used to obtain the pulse wave signal for validating, and AC-DC modulation ratio value was adopted to evaluate the effect. The results showed that this method could effectively remove breathing baseline draft from pulse wave signal.