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

Abstract

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