30 citations · 86 across the 5 of their papers we have counts for
5 papers
Real-time Neonatal Chest Sound Separation using Deep Learning
Yang Yi Poh, Ethan Grooby, Kenneth Tan +6
Auscultation for neonates is a simple and non-invasive method of providing diagnosis for cardiovascular and respiratory disease. Such diagnosis often requires high-quality heart an…
Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds
Ethan Grooby, Chiranjibi Sitaula, Kenneth Tan +6
Neonatal respiratory distress is a common condition that if left untreated, can lead to short- and long-term complications. This paper investigates the usage of digital stethoscope…
Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds
Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi +8
Stethoscope-recorded chest sounds provide the opportunity for remote cardio-respiratory health monitoring of neonates. However, reliable monitoring requires high-quality heart and…
Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications
Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi +8
Digital stethoscopes in combination with telehealth allow chest sounds to be easily collected and transmitted for remote monitoring and diagnosis. Chest sounds contain important in…
A New Non-Negative Matrix Co-Factorisation Approach for Noisy Neonatal Chest Sound Separation
Ethan Grooby, Jinyuan He, Davood Fattahi +6
Obtaining high-quality heart and lung sounds enables clinicians to accurately assess a newborn's cardio-respiratory health and provide timely care. However, noisy chest sound recor…