现代电子技术2018，Vol.41Issue(4)：65-69,74,6.DOI:10.16652/j.issn.1004-373x.2018.04.017
基于EMD和SVD的光电容积脉搏波信号去噪方法
PPG signal denoising method based on EMD and SVD
摘要
Abstract
Baseline drift and high frequency noise during the photoplethysmography(PPG)collection process make the fol-low-up measurement of human physiological parameters difficult. As a result,denoising becomes a key for accurately measuring related physiological parameters. A new method that combines the empirical mode decomposition(EMD)and the singular value decomposition(SVD)is proposed in this paper. In this method,the PPG signal is decomposed into several intrinsic mode func-tions(IMFs)by using EMD,and the baseline drift curve can be obtained by using the power spectral density to determine the IMFs representing baseline drift information. SVD is used to process the high frequency noise in PPG signals. In allusion to the disadvantage that the conventional differential spectral method cannot accurately recognize effective order ranks of singular val-ues,the Percent of Contribution to Total Energy(PCTE)method is put forward to select effective order ranks of singular values. The experimental results show that the method can effectively remove baseline drift and high frequency noise from PPG signals, which has great significance for the improvement of PPG signal detection precision.关键词
光电容积脉搏波/基线漂移/高频噪声/经验模态分解/奇异值分解/加权能量贡献率Key words
PPG/baseline drift/high frequency noise/EMD/SVD/PCTE分类
信息技术与安全科学引用本文复制引用
王杰华,夏海燕,孙万捷,陈虹云..基于EMD和SVD的光电容积脉搏波信号去噪方法[J].现代电子技术,2018,41(4):65-69,74,6.基金项目
国家自然科学基金面上项目(61170171) （61170171）
江苏省"六大人才高峰"项目(2010-WLW-006) （2010-WLW-006）
江苏省高校科研成果产业化推进项目(JHB2011-45) （JHB2011-45）
江苏高校优势学科建设工程资助项目Project Supported by General Program of National Natural Science Foundation of China（61170171）,"Six Major Talent Summit" in Jiangsu Province（2010-WLW-006）,Promoted Project of Industrialization for Scientific Research Achievements of Universities and Colleges In Jiangsu Province（JHB2011-45）,Construction Engineering for Advantageous Subjects of Universities and Colleges in Jiangsu Province （）
