摘要
针对光电容积法采集的脉搏波信号容易受到干扰出现基线漂移的现象,提出了一种改进变分模态分解消除基线漂移噪声算法。算法先利用变分模态分解(VMD)将脉搏波信号分解成多模态分量,然后筛选出含有基线漂移的分量进行经验模态分解(EMD),并消除经验模态分解的余项,最后将全部模态重构。实验结果表明:该算法可以有效去除基线漂移,减少失真。与单纯使用EMD算法相比,改进VMD算法的含噪信号功率与降噪后信号功率比为0.26,均方误差为1.73,有效提高了信号的质量。
The pulse wave signal collected by optical capacitance product method is easy to be interfered and the baseline drift noise occurs. An improved variational mode decomposition(VMD) algorithm is proposed to eliminate baseline drift noise. Firstly, the PPG signal is resolved into multi-modal components by means of variational mode decomposition, and the residual items of empirical mode decomposition(EMD) are eliminated. Finally, all modes are reconstructed. The experimental results show that the signal with drift effectivity could be reduced by the algorithm. Compared with the EMD algorithm, the noise of signal reduce ratio and mean square error of the improved VMD algorithm are 0.26 and 1.73, which can improve the quality of signals effectively.
作者
韦海成
蔡坤
赵静
Wei Haicheng;Cai Kun;Zhao Jing(Basic Experimental Teaching and Engineering Training Center North Minzu University,Yinchuan 750001,China;Scool of Electrical and Information Engineering,North Minzu University,Yinchuan 750011,China;School of Information Engineering,Ningxia University,Yinchuan 750011,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2020年第8期144-150,共7页
Journal of Electronic Measurement and Instrumentation
基金
北方民族大学校级重点项目(2019KJ37)
北方民族大学研究生创新项目(YCX19080)资助
宁夏自然科学基金(NZ17050)
国家自然科学基金(61861001)
教育部“天诚汇智”基金(2018A01016)。
