Electrocardiogram Signal Denoising by Hilbert Transform and Synchronous Detection
Published: 1 December 2020
International Journal Bioautomation , Volume 24, pp 323-336; https://doi.org/10.7546/ijba.2020.24.4.000549
Abstract: 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.
Keywords: ECG / signal denoising / energy representing / dominant component / synchronous detection / Hilbert transform / contaminant / Electrocardiogram / Experimental
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