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Optimal level and order detection in wavelet decomposition for PCG signal denoising

  • Mohamed Rouis EMAIL logo , Abdelkrim Ouafi EMAIL logo and Salim Sbaa EMAIL logo
Published/Copyright: May 22, 2018
Biomedical Engineering / Biomedizinische Technik
From the journal Biomedical Engineering / Biomedizinische Technik Volume 64 Issue 2

Abstract

The recorded phonocardiogram (PCG) signal is often contaminated by different types of noises that can be seen in the frequency band of the PCG signal, which may change the characteristics of this signal. Discrete wavelet transform (DWT) has become one of the most important and powerful tools of signal representation, but its effectiveness is influenced by the issue of the selected mother wavelet and decomposition level (DL). The selection of the DL and the mother wavelet are the main challenges. This work proposes a new approach for finding an optimal DL and optimal mother wavelet for PCG signal denoising. Our approach consists of two algorithms designed to tackle the problems of noise and variability caused by PCG acquisition in a real clinical environment for different categories of patients. The results obtained are evaluated by examining the coherence analysie (Coh) correlation coefficient (Corr) and the mean square error (MSE) and signal-to-noise ratio (SNR) in simulated noisy PCG signals. The experimental results show that the proposed method can effectively reduce noise.

Keywords: denoising operation; mother wavelet selection; optimal decomposition level; PCG signal

Acknowledgments

We would like to express grateful thanks to my friend Benhassine Nassereddine, the searcher in informatics, and to Mrs. Guennoun salah.

  1. Author Statement

  2. Research funding: Authors state no funding involved.

  3. Conflict of interest: Authors state no conflict of interest.

  4. Informed consent: Informed consent is not applicable.

  5. Ethical approval: The conducted research is not related to either human or animals use.

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Received: 2018-01-03
Accepted: 2018-04-09
Published Online: 2018-05-22
Published in Print: 2019-04-24

©2019 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/bmt-2018-0001
Keywords for this article
denoising operation; mother wavelet selection; optimal decomposition level; PCG signal

Articles in the same Issue

  1. Frontmatter
  2. Review
  3. The peripheral cannulas in extracorporeal life support
  4. Research articles
  5. Determination of optimal positive end-expiratory pressure based on respiratory compliance and electrical impedance tomography: a pilot clinical comparative trial
  6. Simulation of personalised haemodynamics by various mounting positions of a prosthetic valve using computational fluid dynamics
  7. Recovery of signal loss adopting the residual bootstrap method in fetal heart rate dynamics
  8. Optimal level and order detection in wavelet decomposition for PCG signal denoising
  9. Simple gastric motility assessment method with a single-channel electrogastrogram
  10. Analysis of on-surface and in-air movement in handwriting of subjects with Parkinson’s disease and atypical parkinsonism
  11. Wavelet-enhanced convolutional neural network: a new idea in a deep learning paradigm
  12. Digital microscopic evaluation of vertical marginal discrepancies of CAD/CAM fabricated zirconia cores
  13. Modelling the degree of porosity of the ceramic surface intended for implants
  14. How Hedstrom files fail during clinical use? A retrieval study based on SEM, optical microscopy and micro-XCT analysis
  15. A novel measurement strategy to evaluate the human head as a transition medium for inductive ear-to-ear communication
  16. Short communication
  17. Force plates may be used for dynamic analyses of endoprostheses explantation procedures
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