引入双曲正切阈值函数的平稳小波变换心电信号去噪方法  

ECG Signal Denoising Method Based on Stationary Wavelet Transform with Hyperbolic Tangent Threshold Function

作　　者：王海勇[1,2,3] 丁顾霏 WANG Haiyong;DING Gufei(College of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;National Key Laboratory of Autonomous Marine Vehicle Technology Laboratory,Harbin Engineering University,Harbin 150001,China;Smart Campus Research Centre,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)

机构地区：[1]南京邮电大学计算机学院,南京210023 [2]哈尔滨工程大学智能海洋航行器技术全国重点实验室,哈尔滨150001 [3]南京邮电大学智慧校园研究中心,南京210023

出　　处：《计算机科学》2025年第5期179-186,共8页Computer Science

基　　金：国家自然科学基金(61872190);江苏省博士后科研资助计划(2020Z058);智能海洋航行器技术全国重点实验室稳定支持项目(2024-HYHXQ-WDZC06)。

摘　　要：在心电信号的采集过程中,各种噪声充斥在心电信号中,这会使心电信号变得难以识别,从而影响医务人员的诊断。对心电信号进行去噪处理,是心电信号研究的重要环节。基于平稳小波变换的技术,针对平稳小波去噪过程中硬阈值、软阈值的缺陷,提出一种可变参数下的双曲正切函数(SWTaVHT)来对心电信号进行去噪;同时,为了防止在去噪过程中丢失一些高频信息段,引入利用R峰位置信息辅助的修正方法,以更好地保留有用的信号特征。为了评估SWTaVHT的有效性,在公开数据库MIT-BIH上与现有的方法进行对比实验。结果表明,去噪之后的信噪比(SNR)、均方根误差(RMSE)和均方根差百分比(PRD)均优于现有方法。SWTaVHT在不改变原始信号振幅的情况下,对心电信号数据进行去噪处理,其效果优于现有方法。In the acquisition process of ECG signals,there are various kinds of noise filled in the ECG signals,which will make the ECG signals become difficult to identify,thus affecting the diagnosis of medical personnel.Denoising the ECG signal is an important part of ECG signal research.This paper adopts the technique based on stationary wavelet transform,aiming at the defects of hard threshold and soft threshold in the denoising process of stationary wavalet transform,a hyperbolic tangent function with varia ble parameters(SWTaVHT)is proposed for denoising ECG signals.Moreover,in order to prevent the loss of some high frequency information segments in the process of denoising,the R-peak location information assisted correction method is used to better retain useful signal features.In order to evaluate the effectiveness of SWTaVHT,experiments are conducted on the public database MIT-BIH for a comparative study with existing methods.Experimental results show that the signal-to-noise ratio(SNR),root-mean-square error(RMSE)and percentage root-mean-square difference(PRD)after denoising are better compared to the existing methods.The SWTaVHT denoises the ECG data without changing the amplitude of the original signals,which is better than the existing methods.

关 键 词：心电信号 阈值函数 平稳小波变换 R峰校正 去噪 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TN911.73[自动化与计算机技术—计算机科学与技术]