Using smartwatches to predict obstructive sleep apnea
Smartwatch-Based Artificial Intelligence Model for Obstructive Sleep Apnea Prediction
This study is testing whether smartwatches can help find signs of obstructive sleep apnea by tracking health data while you sleep.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 147 (estimated) |
| Ages | 22 Years to 85 Years |
| Sex | All |
| Sponsor | Seoul National University Hospital Academic / other |
| Locations | 1 site (Seoul) |
| Trial ID | NCT06792188 on ClinicalTrials.gov |
What this trial studies
This study aims to develop an artificial intelligence (AI) model that utilizes data collected from smartwatches to diagnose obstructive sleep apnea (OSA) more accurately. By monitoring blood oxygen saturation and other health metrics during sleep, the study seeks to identify key symptoms and signs of OSA. The goal is to create a cost-effective and accessible screening method that can improve early detection and treatment rates for this common but often underdiagnosed condition.
Who should consider this trial
Good fit: Ideal candidates are men and women aged 22 to 85 years who exhibit symptoms of sleep apnea, such as snoring or excessive daytime sleepiness.
Not a fit: Patients who are already diagnosed with sleep apnea and undergoing treatment, or those with certain medical conditions that complicate diagnosis, may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to earlier and more accurate diagnoses of obstructive sleep apnea, improving patient outcomes.
How similar studies have performed: Other studies have explored the use of wearable technology for health monitoring, showing promising results, but this specific AI approach for OSA prediction is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Men and women aged 22 to 85 years who visited Seoul National University Hospital with suspected sleep apnea due to symptoms such as snoring, apnea, or excessive daytime sleepiness. Exclusion Criteria: * Patients previously diagnosed with sleep apnea who are currently undergoing treatment (e.g., positive airway pressure \[PAP\] therapy, mechanical ventilation, oral appliances, or surgery). * Patients with neuromuscular diseases or a history of chronic opioid medication use. * Patients with severe insomnia that is not controlled by medication. * Patients receiving supplemental oxygen therapy due to underlying conditions such as heart failure, chronic obstructive pulmonary disease, interstitial lung disease, hypoventilation syndrome, or stroke, or whose baseline oxygen saturation is less than 90%. * Patients with implanted cardiac pacemakers, defibrillators, or other electronic devices. * Patients inexperienced in using smartphones, apps, or smartwatches. * Pregnant women. * Patients unable or unwilling to provide written informed consent.
Where this trial is running
Seoul
- Seoul National University Hospital — Seoul, South Korea (Recruiting)
Study contacts
- Principal investigator: Jaeyoung Cho, M.D., Ph.D. — Seoul National University Hospital
- Study coordinator: Jaeyoung Cho, M.D., Ph.D.
- Email: apricot6@snu.ac.kr
- Phone: +82-2-2072-2503
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.