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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Veröffentlicht in:	IEEE access 2024, Vol.12, p.76053-76064
Hauptverfasser:	Alkahtani, Hend Khalid, Haq, Ihtisham Ul, Ghadi, Yazeed Yasin, Innab, Nisreen, Alajmi, Masoud, Nurbapa, Mekebayev
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Automation Bandpass filters Cardiology Cardiovascular diseases chunking Congenital diseases congenital heart diseases Convolutional neural networks Data augmentation Datasets deep neural network Digital stethoscope Diseases Feature extraction Heart Heart diseases Neural networks Pediatrics Personal digital devices Phonocardiography pitch-shifting Stethoscope
Online-Zugang:	Volltext
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