基于形态学滤波与SG平滑滤波的脉搏波信号去噪研究  

Research on Pulse Wave Signal Denoising Based on Morphological Filterand SG Smoothing Filter

作　　者：程瑛 Cheng Ying(Bengbu Technician College(Bengbu Science and Technology Engineering School),Bengbu 233030,China)

机构地区：[1]蚌埠技师学院(蚌埠科技工程学校),安徽蚌埠233030

出　　处：《黑龙江科学》2024年第24期80-83,88,共5页Heilongjiang Science

摘　　要：针对脉搏波信号的噪声特点及去噪需求提出一种基于数学形态学滤波和SG滑动滤波相结合的脉搏波信号去噪方法,利用形态学滤波器去除脉搏波中的基线漂移,通过SG平滑滤波器滤除脉搏波信号中的高频干扰信号。实验结果表明,提出的方法能够有效消除脉搏波信号的基线漂移和高频干扰,为脉搏波信号特征提取和血氧饱和度的快速、精确测量奠定良好的基础。According to the noise characteristics of the pulse wave signal and denoising demand,the study proposes a denoising method and mathematical morphology filtering and SG sliding filter pulse wave signal based method.The baseline drift of pulse wave is removed by morphological filters,and then the high frequency interference signal of pulse wave signal is eliminated by SG smoothing filter.The experimental results show that the proposed method can effectively eliminate the baseline drift of pulse wave signal and the high frequency interference,so as to lay a good foundation for the pulse wave signal feature extraction and accurate measurement of blood oxygen saturation.

关 键 词：血氧饱和度 基线漂移 形态学滤波 结构元素 平滑滤波 

分 类 号：TN29[电子电信—物理电子学]