International Journal Bioautomation | |
Electrocardiogram Signal Denoising by Hilbert Transform and Synchronous Detection | |
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