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ID04112927

Evaluation of Acoustic Sound Analysis for Detecting and Monitoring Obstructive Sleep Apnea During Wakefulness and Sleep

Led by University of Manitoba · Updated on 2026-09-30

250

Participants Needed

1

Research Sites

16 weeks

Total Duration

AI-Summary

What This Trial Is About

Researchers are evaluating a new method to detect obstructive sleep apnea OSA using sound analysis during wakefulness and sleep. OSA is a common breathing disorder linked to serious health risks, and many people with moderate to severe OSA remain undiagnosed. This research aims to develop a simpler and faster screening approach compared to current resource-intensive techniques. The study uses a novel algorithm called AWakeOSA that analyzes tracheal breathing sounds recorded while awake to predict OSA. To support this, a specialized device named ASAD-3 records breathing sounds both during wakefulness and throughout sleep using two small microphones placed on the skin. The study includes participants suspected of OSA and healthy controls, with breathing sounds recorded alongside polysomnography PSG sleep studies to improve the algorithm and explore sound changes from wakefulness to sleep. Participants will be monitored with the ASAD-3 device during wakefulness and overnight sleep. Researchers will assess OSA severity and compare acoustic measures to standard PSG results. The goal is to create a reliable home-care screening and monitoring tool for OSA, which could reduce the burden on healthcare by limiting unnecessary PSG tests and improve personal OSA management. The study involves careful data collection and analysis over the study period ending in late 2028.

CONDITIONS

Brief Title

Acoustic OSA Prediction During Wakefulness and Monitoring During Sleep

Research Team

A

Abnoor Kaur, M.Sc.

Z

Zahra Moussavi, Ph.D.

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