Sleep & breathing = Schlaf & AtmungHumansSleep Apnea SyndromesPolysomnographyBiosensing TechniquesArtificial Intelligence
Tracing the evolution in sleep apnea detection: a review from traditional non-contact under-the-mattress devices to advanced AI-driven methods.
Sara Daneshvar, Mehran Rahimi, Khalil Ansarin
Published: 202510.1007/s11325-025-03500-2
Abstract
BACKGROUND: Sleep apnea is traditionally diagnosed with polysomnography (PSG), which, while effective, is costly, time-consuming, and obtrusive. Recent advancements in biosensing technologies have facilitated the development of under-the-mattress dev…
Preview only. Read the full abstract at the source