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Smartwatch-Based AI Model for OSA Prediction (SWOSA)

NCT06792188 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 147

Last updated 2025-05-15

No results posted yet for this study

Summary

This study aims to develop an artificial intelligence (AI) model for more accurately diagnosing obstructive sleep apnea (OSA) by collecting blood oxygen saturation and other health information during sleep using a smartwatch.

OSA is common but often underdiagnosed, and the gold-standard diagnostic test, polysomnography, is costly and time-consuming. Smartwatches can provide a variety of health data, such as sleep patterns, blood oxygen saturation, and heart rate, which can help detect key symptoms and signs of OSA.

By developing an AI model that uses smartwatch data to screen for OSA, this study seeks to offer a cost-effective and accessible diagnostic method, ultimately contributing to the early detection and improved treatment rates of OSA.

Conditions

  • Obstructive Sleep Apnea of Adult
  • Screening
  • Smart Watch

Interventions

DEVICE

Galaxy Watch 4, Samsung Electronics Co., Ltd., South Korea

Use of the Galaxy Watch 4 during sleep for approximately two weeks prior to the polysomnography test, including the night of the test.

Sponsors & Collaborators

  • Seoul National University Hospital

    lead OTHER

Principal Investigators

  • Jaeyoung Cho, M.D., Ph.D. · Seoul National University Hospital

Eligibility

Min Age
22 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-02-03
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06792188 on ClinicalTrials.gov