Accurate Segmentation of Phonocardiogram Signals using Fractal Decomposition with WB-MFA in MATLAB 2022
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DOI:
https://doi.org/10.59287/icpis.800Keywords:
Fractal Decomposition, Phonocardiogram Signal, The Wavelet-Based Multifractal Analysis, MATLABAbstract
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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