Optimal decomposition level selection approach in wavelet threshold denoising algorithm for ECG signal

作     者：Yao Yindi Yi Jun Zeng Zhibin Li Xiong Wang Chen Li Yuhang Yao Yindi;Yi Jun;Zeng Zhibin;Li Xiong;Wang Chen;Li Yuhang

作者机构：School of Communications and Information EngineeringXi'an University of Posts and TelecommunicationsXi'an 710121China School of MicroelectronicsXidian UniversityXi'an 710071China School of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijing 100876China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2023年第30卷第4期

页      面：86-104页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0836[工学-生物工程] 

基　　金：supported by the National Nature Science Foundation of China(U1965102) the Science and Technology Innovation Team for Talent Promotion Plan of Shaanxi Province(2019TD-028) the Science and Technology Department of Shaanxi Province Project(2021NY-180) 

主　　题：ECG signal wavelet threshold denoising optimal decomposition level muti-index fusion 

摘      要：The effect of electrocardiogram(ECG)signal wavelet denoising depends on the optimal configuration of its control parameters and the selection of the optimal decomposition ***,the existing optimal decomposition level selection scheme has some problems,such as lack of reliable theoretical guidance and insufficient accuracy,which need to be solved *** solve this problem,this paper proposes an optimal decomposition level selection method based on multi-index fusion,which is used to select the optimal decomposition level for wavelet threshold denoising of ECG *** the stage of index selection,in order to overcome the limitation of a single evaluation index,the optimal multi-evaluation index is selected through the joint analysis of the geometric and physical significance of traditional evaluation *** the stage of index fusion,based on the method of weighting the selected multiple indexes by the information entropy weight method and the coefficient of variation method,an optimal decomposition level selection method based on the evaluation index Z is proposed to improve the accuracy of the optimal decomposition level ***,extensive experiments are carried out on the real ECG signal from the Massachusetts Institute of Technology-Beth Israel Hospital(MIT-BIH)arrhythmia database and simulated signal to test the performance of the proposed *** experimental results show that the accuracy of this method is superior to other related methods,and it can achieve better denoising effect of ECG signal.