HYBRID EVENT: You can participate in person at Rome, Italy or Virtually from your home or work.

3rd Edition of International Heart Congress

June 05-07,2025 | Hybrid Event

June 05 -07, 2025 | Rome, Italy
Heart Congress 2023

ECG denoising based on WATV and convex fused lasso denoising with non-convex regularization

Abdallah Rezgui, Speaker at Heart Congress
Ecole Nationale Superieure D’Ingenieurs De Tunis (ENSIT), Tunisia
Title : ECG denoising based on WATV and convex fused lasso denoising with non-convex regularization

Abstract:

In this paper, we propose a novel approach of Electrocardiogram Denoising based on Wavelet/Total Variation (WATV) and Convex fused lasso Denoising with non-convex regularization. This approach consists at first step of applying the Discrete Wavelet Transform to the noisy ECG signal for obtaining a noisy approximation coefficient, and a noisy details coefficient The latter is denoised by soft thresholding and we obtain a first denoised details coefficient. The second step of this approach consists of applying the to in order to obtain a second noisy approximation coefficient and a second noisy details coefficient The latter is denoised by Convex fused lasso denoising with non-convex regularization and we obtain a second denoised details coefficient. The noisy approximation coefficient is denoised by WATV based denoising technique and we obtain a  denoised approximation coefficient. The inverse of is then applied to and in order to obtain a denoised approximation coefficient. The inverse of is again applied to and for obtaining finally a denoised signal. The performance of this proposed approach is proved by the computation of the Signal to Noise Ratio (SNR), the Peak SNR (PSNR), the Mean Square Error the Mean Absolute Error and the Cross-Correlation

 

What will audience learn from your presentation?

Explain how the audience will be able to use what they learn?

  • The audience will be able to use what they learn by simulating our proposed ECG denoising approach via Matlab/Simulink.
     
  • How will this help the audience in their job?
    This research work can help the audience in their job by providing them an overview on many research works dealing with ECG Denoising including our approach proposed in this work.

     
  • Is this research that other faculty could use to expand their research or teaching?
    Yes of course, this research work can be used by other faculties for expanding their researches or teaching and this thanks to theoretical background on ECG Denoising.

     
  • Does this provide a practical solution to a problem that could simplify or make a designer’s job more efficient?
    No, it is just a simulation under Matlab/Simulink of our new proposed ECG Denoising technique.

    Will it improve the accuracy of a design, or provide new information to assist in a design problem?Yes of course, it provide new information to assist in a design problem by giving a new approach of ECG Denoising based on WATV and Convex fused lasso denoising with non-convex regularization.

Biography:

Abdallah Rezgui is actually preparing his PhD thesis at Ecole Nationale Superieure d’Ingenieurs de Tunis (ENSIT), Tunis, Tunisia. He has obtained his Bachelor degree in Electrical Engineering from Faculty of Sciences of Tunis in 2020. He has obtained his Master degree in Electrical Engineering from Faculty of Sciences of Tunis in 2022.

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