现代电子技术2025，Vol.48Issue(2)：70-76,7.DOI:10.16652/j.issn.1004-373x.2025.02.012
基于参数优化变分模态分解的信号降噪方法
Method of signal denoising based on parameter-optimized VMD
何玉洁 1李新娥 1贺俊1
作者信息
- 1. 中北大学 省部共建动态测试技术国家重点实验室,山西 太原 030051||中北大学 电气与控制工程学院,山西 太原 030051
- 折叠
摘要
Abstract
In allusion to the problem of difficult removal of electromyographic interference noise in electrocardiogram(ECG)signals,a method of signal denoising based on parameter-optimized variational mode decomposition(VMD)is proposed.The beluga whale optimization(BWO)algorithm is improved by designing the dynamic boundary strategy and inverse population generation.The improved BWO algorithm is used for the adaptive optimization of the VMD parameters to determine the number of decomposition layers K and the penalty factor α.The noise-containing ECG signal is decomposed to obtain k intrinsic mode function(IMF)components,and the correlation coefficient method is used to identify the effective modes and noise-containing modes.The noise-dominated modal components are noise-reduced by means of the wavelet thresholding,and the dominant modes and noise-reduced modes of the reconstructed signal are reconstructed.The simulation signals and ECG signals with real EMG interference are processed for the denoising.The experimental results show that the proposed method is superior to wavelet threshold denoising method,EMD method and EMD-wavelet threshold denoising method,and the autocorrelation coefficient of real ECG signals with noise can reach more than 0.91 after denoising.关键词
变分模态分解/信号降噪/参数优化/改进白鲸优化算法/心电信号/IMF分量/小波阈值降噪/肌电干扰Key words
variational modal decomposition/signal denoising/parameter optimization/improved beluga optimization algorithm/ECG signal/IMF component/wavelet threshold denoising/electromyogrophic interference分类
电子信息工程引用本文复制引用
何玉洁,李新娥,贺俊..基于参数优化变分模态分解的信号降噪方法[J].现代电子技术,2025,48(2):70-76,7.
