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Smartwatch-Based AI Model for OSA Prediction (SWOSA)
Sponsor: Seoul National University Hospital
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
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