CAJ | 학술논문

将小波阈值方法应用于心电信号的去噪处理,在对常用阈值函数理解分析的基础上提出一种改进的阈值函数,并利用Matlab对MIT-BIH数据库中的心电数据进行仿真,分别采用常用阈值函数和改进阈值函数进行硬、软阈值处理.实验表明,改进阈值函数的软阈值去噪方法能有效地滤除心电信号中主要干扰,并较好地保留了心电信号的特征信息.
장소파역치방법응용우심전신호적거조처리,재대상용역치함수리해분석적기출상제출일충개진적역치함수,병이용Matlab대MIT-BIH수거고중적심전수거진행방진,분별채용상용역치함수화개진역치함수진행경、연역치처리.실험표명,개진역치함수적연역치거조방법능유효지려제심전신호중주요간우,병교호지보류료심전신호적특정신식.
In this paper, the wavelet threshold method was applied to ECG signal denoising. We proposed an improved threshold function on the basis of analysis and understanding of the commonly used ones. And the MIT-BIH database was used to simulate the ECG data in Matlab, respectively using common threshold functions and improved one for hard and soft thresholding to remove the noise. Experimental results show that soft thresholding method of improved threshold function can effectively filter out the main interference, and better to retain the characteristics of the ECG.