文献类型：期刊文献

中文题名：优化VMD和改进小波阈值的ECG肌电干扰去噪算法

英文题名：ECG EMG INTERFERENCE DENOISING ALGORITHM BASED ONOPTIMIZED VMD AND IMPROVED WAVELET THRESHOLD

作者：顾旋[1];张伟[1]

第一作者：顾旋

机构：[1]甘肃中医药大学信息工程学院,甘肃兰州730100

第一机构：甘肃中医药大学信息工程学院（教育技术中心）

年份：2025

卷号：42

期号：11

起止页码：277

中文期刊名：计算机应用与软件

外文期刊名：Computer Applications and Software

收录：;北大核心:【北大核心2023】；

基金：甘肃省教育厅创新基金项目(2022B-113);甘肃中医药大学研究生创新基金项目(2022CX81)。

语种：中文

中文关键词：ECG信号;肌电干扰;遗传算法;变分模态分解;小波阈值去噪

外文关键词：ECG signal;EMG interference;Genetic algorithm;Variational mode decomposition;Wavelet threshold denoising

摘要：针对传统算法对心电图(ECG)肌电干扰噪声去噪效果较差的问题,提出一种优化变分模态分解(Variational mode decomposition,VMD)和改进小波阈值的去噪算法。利用遗传算法(GA)优化VMD参数,并对含肌电干扰的ECG信号进行VMD分解为多个固有模态函数(IMF);对相关系数值较小的IMF利用改进小波阈值去噪;将所有IMF重构得到去噪的ECG信号。将该算法与其他算法对含模拟和真实肌电干扰的ECG信号进行去噪效果的实验对比,结果表明该算法计算复杂度较小,去噪后能更好地保持ECG信号有用波形特征,且去噪后ECG信号的信噪比、均方误差和相关系数值均有不同程度的改善。
Aimed at the problem that the traditional algorithm has poor denoising effect on the interference noise of electrocardiogram(ECG)electromyography,an optimized variational mode decomposition(VMD)combined with improved wavelet threshold denoising algorithm is proposed.The parameters of VMD were optimized by genetic algorithm(GA),and the ECG signal with EMG interference was decomposed into multiple intrinsic mode functions(IMFs).The improved wavelet threshold was used to denoise the IMFs with smaller PCC value.The denoised ECG signal was obtained by reconstructing the every IMFs.The algorithm was compared with other algorithms for ECG signals denoising results with simulated and real EMG interference noise.The results show that the proposed algorithm has small computational complexity and the ECG signals'useful waveform characteristic can be better maintained after denoising.Moreover,the denoised ECG signals'signal-to-noise ratio(SNR),mean square error(MSE)and Pearson correlation coefficient(PCC)value are improved to some extent.