Using smartwatches to predict obstructive sleep apnea

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

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 it's running

• 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

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.