Precision Diagnosis: An Automated Method for Detecting Congenital Heart Diseases in Children From Phonocardiogram Signals Employing Deep Neural Network

According to the World Health Organization (WHO), congenital heart disorders (CHDs) impact a significant proportion of babies worldwide, with prevalence rates ranging from 0.8% to 1.2%. Phonocardiography (PCG) is the leading non-invasive method for detecting congenital heart defects (CHDs), offering...

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Hauptverfasser:	Hend Khalid Alkahtani, Ihtisham Ul Haq, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Mekebayev Nurbapa
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Digital stethoscope congenital heart diseases pitch-shifting deep neural network chunking data augmentation
Online-Zugang:	https://ieeexplore.ieee.org/document/10511068/
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