NCT06792188

Smartwatch-Based AI Model for OSA Prediction (SWOSA)

Smartwatch-Based Artificial Intelligence Model for Obstructive Sleep Apnea Prediction

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 147 (estimated)
• Sponsor: Seoul National University Hospital · Academic / Other
• Sex: All
• Age: 22 Years – 85 Years
• Healthy volunteers: Not accepted

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

Type	Name	Description
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.

Timeline

• Start date: 2025-02-03
• Primary completion: 2026-12-31
• Completion: 2026-12-31
• First posted: 2025-01-24
• Last updated: 2025-05-15

Locations

1 site across 1 country: South Korea