Electrocardiogram Signal Denoising by Hilbert Transform and Synchronous Detection

International Journal Bioautomation

Mouna Ghanai¹  Kheireddine Chafaa¹  Asma Tinouna¹  Mohammed Assam Ouali² 

[1] ;LASS Laboratory, Electronics Departement, Faculty of Technology, University of M’sila, Algeria;

关键词: ecg signals;    ecg denoising;    hilbert transform;    synchronous detection;   

DOI  :  10.7546/ijba.2020.24.4.000549

来源: DOAJ

【 摘 要 】

An efficient method for Electrocardiogram (ECG) signal denoising based on synchronous detection and Hilbert transform techniques is presented. The goal of the method is to decompose a noisy ECG signal into two components classified according to their energy: (1) component with high energy representing the dominant component which is the clean ECG signal, and (2) component with low energy representing the sub-dominant component which is the contaminant noise. The investigated approach is validated through out some experimentations on MIT-BIH ECG database. Experimental results show that random noises can be effectively suppressed from ECG signals.

【 授权许可】

Unknown