AI listens to your breath to spot sleep apnea

NCT ID NCT07447999

First seen Mar 24, 2026 · Last updated May 13, 2026 · Updated 5 times

Summary

This study tests a new way to estimate obstructive sleep apnea severity using a chest sensor, finger clip, and motion tracker instead of a full overnight sleep lab. Researchers will build an AI model that combines sound, oxygen, and movement data to predict breathing pauses during sleep. The goal is to make sleep apnea screening easier and more accessible at home.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Fu Jen Catholic University Hospital, Fu Jen Catholic University

    RECRUITING

    New Taipei City, 24352, Taiwan

    Contact Phone: •••-•••-•••• Email: •••••@•••••

Conditions

Explore the condition pages connected to this study.