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RECRUITING
NCT06792188

Smartwatch-Based AI Model for OSA Prediction (SWOSA)

Sponsor: Seoul National University Hospital

View on ClinicalTrials.gov

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.

Official title: Smartwatch-Based Artificial Intelligence Model for Obstructive Sleep Apnea Prediction

Key Details

Gender

All

Age Range

22 Years - 85 Years

Study Type

OBSERVATIONAL

Enrollment

147

Start Date

2025-02-03

Completion Date

2026-12-31

Last Updated

2025-05-15

Healthy Volunteers

No

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.

Locations (1)

Seoul National University Hospital

Seoul, South Korea