4 hasil untuk "Ethan Grooby"

NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning

Yang Yi Poh; Ethan Grooby; Kenneth Tan dkk.

IEEE Open J Eng Med Biol · 2024 · Inggris · PubMed Central

Goal: Auscultation for neonates is a simple and non-invasive method of diagnosing cardiovascular and respiratory disease. However, obtaining high-quality chest sounds containing only heart or lung sounds is non-trivial. Hence, this study introduces a new deep-learning model named NeoSSNet and…

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A Blind Filtering Framework for Noisy Neonatal Chest Sounds

Davood Fattahi; Reza Sameni; Ethan Grooby dkk.

IEEE Access, Vol. 10 · 2022 · Inggris · DOAJ Scopus

Chest sound— as the first and most commonly available vital signal for newborns— contains affluent information about their cardiac and respiratory health. However, neonatal lung sound auscultation is currently challenging and often unreliable due to the noise and interference, particularly for…

Congenital heart disease classification using phonocardiograms: a scalable screening tool for diverse environments

Abdul Jabbar; Ethan Grooby; Jack Crozier dkk.

Scientific Reports, Vol. 16 No. 1 · 2026 · Inggris · DOAJ Scopus

Abstract Congenital heart disease (CHD) is a critical condition that demands early detection, particularly in infancy and childhood. This study presents a deep learning model designed to detect CHD using phonocardiogram (PCG) signals, with a focus on its application in global health. We evaluated…