Multi-modal multi-task deep neural networks for sleep disordered breathing assessment using cardiac and audio signals.
Journal:
International journal of medical informatics
Published Date:
Apr 17, 2025
Abstract
BACKGROUND AND OBJECTIVE: Sleep disordered breathing (SDB) is one of the most common sleep disorders and has short-term consequences for daytime functioning while being a risk factor for several conditions, such as cardiovascular disease. Polysomnography, the current diagnostic gold standard, is expensive and has limited accessibility. Therefore, cost-effective and easily accessible methods for SDB detection are needed. Both cardiac and audio signals have received attention for SDB detection as they can be obtained with unobtrusive sensors, suitable for home applications.
