3 papers
cs.SD2025
Deep Learning for Tuberculosis Screening in a High-burden Setting using Cough Analysis and Speech Foundation Models
Ning Ma, Bahman Mirheidari, Guy J. Brown +6
Artificial intelligence (AI) systems can detect disease-related acoustic patterns in cough sounds, offering a scalable and cost-effective approach to tuberculosis (TB) screening in…
eess.AS2025
Transfer Learning for Paediatric Sleep Apnoea Detection Using Physiology-Guided Acoustic Models
Chaoyue Niu, Veronica Rowe, Guy J. Brown +5
Paediatric obstructive sleep apnoea (OSA) is clinically significant yet difficult to diagnose, as children poorly tolerate sensor-based polysomnography. Acoustic monitoring provide…
cs.SD2025
Estimating Respiratory Effort from Nocturnal Breathing Sounds for Obstructive Sleep Apnoea Screening
Xiaolei Xu, Chaoyue Niu, Guy J. Brown +2
Obstructive sleep apnoea (OSA) is a prevalent condition with significant health consequences, yet many patients remain undiagnosed due to the complexity and cost of over-night poly…