Key result
Stationary Bionic Wavelet Transform and WATV ECG denoising outperforms five methods in SNR and cross-correlation.
A novel ECG denoising technique using Stationary Bionic Wavelet Transform and WATV demonstrates performance improvements in signal quality metrics.
Hypothesis-generating for ECG denoising; leaves open effects on clinical diagnosis and requires outcome validation.
In this paper, is proposed a novel technique of Electrocardiogram (ECG) denoising. It is based on the application of Wavelet/Total-Variation (WATV) denoising approach in the domain of the Stationary Bionic Wavelet Transform (SBWT). It consists firstly in applying the SBWT to the noisy ECG signal for obtaining two noisy coefficients namedwtb1 and wtb2 which are respectively details and approximation coefficients. For estimating the level of noise altering the signal, namedσ, we use wtb1. This noise is an additive Gaussian white noise. The thresholding ofwtb1 is secondly performed employing the soft thresholding and a denoised coefficient wtd1 is obtained. This thresholding requires the use of a certain threshold, thr which is computed using σ. Thedenoising ofwtb2 is performed using WATV denoising method and we obtain a denoised coefficient, wtd2. This WATV denoising method also uses σ. The denoised ECG signal is finally obtained by applying the inverse of SBWT (SBWT-1) to wtd1 and wtd2. The proposed technique performance is justified by the results obtained from the computations of Signal to Noise Ratio (SNR), Minimum Square Error (MSE), Mean Absolute Error (MAE), Peak-SNR (PSNR) and Cross-Correlation (CC).
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Talbi et al. (2022) studied ECG signals (n=28). Stationary Bionic Wavelet Transform (SBWT) and WATV denoising vs. Five other denoising methods (BWT, 1-D double-density complex DWT, Non Local Means, Wavelets and Hidden Markov Models, WATV) was evaluated on Signal to Noise Ratio (SNRf), Peak-SNR (PSNR), Mean Square Error (MSE), Mean Absolute Error (MAE), and Cross-Correlation (CC). The proposed ECG denoising technique based on Stationary Bionic Wavelet Transform and WATV outperformed five other methods by achieving the highest Signal to Noise Ratio and Cross-Correlation.
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