Accurate Segmentation of Phonocardiogram Signals using Fractal Decomposition with WB-MFA in MATLAB 2022


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Authors

  • K.N. HAKKOUM Biomedical Engineering Department/Loboratory of genie biomedical, University of Abou Bekr Belkaid Tlemcen , Algeria
  • L.HAMZA CHERIF Biomedical Engineering Department/Loboratory of genie biomedical, University of Abou Bekr Belkaid Tlemcen , Algeria

DOI:

https://doi.org/10.59287/icpis.800

Keywords:

Fractal Decomposition, Phonocardiogram Signal, The Wavelet-Based Multifractal Analysis, MATLAB

Abstract

This work describes a unique method for segmenting phonocardiogram (PCG) signals in MATLAB 2022 utilizing fractal decomposition. Fractal decomposition is an effective technique for breaking down a PCG signal into simpler components based on their fractal features. The suggested method for fractal decomposition employs the wavelet-based multifractal analysis (WB-MFA) method, which has already been proved to be successful for PCG segmentation. The proposed method was tested on a dataset of PCG signals and found to be highly accurate in segmenting the signals into separate heart sounds.

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Published

2023-06-13

How to Cite

HAKKOUM, K., & CHERIF, L. (2023). Accurate Segmentation of Phonocardiogram Signals using Fractal Decomposition with WB-MFA in MATLAB 2022. International Conference on Pioneer and Innovative Studies, 1, 25–27. https://doi.org/10.59287/icpis.800

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Conference Papers