计算机应用与软件2026，Vol.43Issue(5)：303-311,9.DOI:10.3969/j.issn.1000-386x.2026.05.040
基于优化VMD和改进小波阈值的脉搏波降噪方法
PULSE WAVE NOISE REDUCTION ALGORITHM BASED ON OPTIMIZED VMD AND IMPROVED WAVELET THRESHOLD
摘要
Abstract
Aimed at the problem of noise interference in the acquisition process of human pulse wave signals,a joint denoise reduction method based on optimized variational mode decomposition(VMD)and improved wavelet threshold(WT)is proposed.We determined the optimal decomposition layer number of VMD according to the difference coefficient of the envelope entropy of the signal,and used the sparrow search algorithm to determine the penalty factor.It performed the VMD on the pulse wave signal containing noise,and calculated the correlation of eigenmode components(IMFs)and the original signal.We improved the wavelet threshold denoising of the noise components,and reconstructed each component.The experimental results show that the proposed joint algorithm has a better denoising effect than EMD(empirical mode decomposition)-WT,EEMD(ensemble empirical mode decomposition)-WT and other methods.And it can effectively improve SNR and reduce mean square error in the experiment of measuring pulse wave signals.关键词
变分模态分解/光电容积脉搏波/改进小波阈值/包络熵/麻雀搜索算法/信号降噪Key words
Variational mode decomposition/Photoplethysmography/Improved wavelet threshold/Envelope entropy/Sparrow search algorithm/Signal noise reduction分类
信息技术与安全科学引用本文复制引用
葛君怡,李霞,杨昊..基于优化VMD和改进小波阈值的脉搏波降噪方法[J].计算机应用与软件,2026,43(5):303-311,9.基金项目
浙江省自然科学基金项目(LY18E070005) （LY18E070005）
浙江省大学生科研创新活动计划项目(2020R409057). （2020R409057）
