AI-powered sleep staging and sleep apnea screening using multimodal wearable data
Official title: Development and Clinical Validation of Artificial Intelligence Algorithms for Sleep Staging and Obstructive Sleep Apnea Screening Based on a Large-Scale Model Trained on Multimodal Physiological Signals From Diverse Populations
Run by Peking University First Hospital · NCT07908160 · Data updated 2026-11-12
This study tests AI models that use wearable and sensor data to help identify sleep stages and screen for obstructive sleep apnea in adults undergoing standard sleep testing.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 65 Years |
| Sex | All |
| Enrollment | 1000 (estimated) |
| Sponsor | Peking University First Hospital Academic / other |
| Locations | 1 site (Beijing, Beijing Municipality) |
| Status | Recruiting |
| Started | August 7, 2026 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | October 30, 2026 |
| Trial ID | NCT07908160 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18–65 undergoing standard full-night PSG or healthy volunteers with no significant sleep complaints.
✕Probably not a fit
Participants with sleep disorders not represented in the cohort or those unable to wear the sensors may not benefit from the AI models developed.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Researchers will collect a full-night polysomnography along with continuous body temperature, smart‑ring data, a contactless sleep belt, and indoor environmental data from the same participants. The goal is to develop and clinically validate AI algorithms trained on diverse multimodal signals to stage sleep and screen for sleep apnea. Data will come from multiple centers under real-world clinical conditions to ensure robustness and interpretability. Interventions are observational and focused on data collection and algorithm development rather than treatment. The study includes adults 18–65 undergoing PSG and healthy volunteers at low risk for sleep disorders.
Why it matters
Potential benefit: If successful, the AI tools could improve accuracy and convenience of sleep staging and OSA screening using consumer and clinical sensors.
How similar studies have gone: Prior work has shown promise for multimodal data in sleep analysis, but large-scale validation with synchronized PSG and consumer sensors remains an area of active study.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Study Population 1: Individuals scheduled to undergo standard full-night PSG at a participating center. Participants must meet all of the following criteria: 1. Aged 18-65 years, of either sex. 2. Voluntarily agrees to participate and provides written informed consent. 3. Able to complete standard full-night attended Type I PSG. 4. Able to wear a smart ring and a continuous body-temperature patch and to use a contactless sleep-monitoring belt concurrently during PSG. 5. Able to complete study-related questionnaires and collection of basic information. Study Population 2: Recruited healthy volunteers or volunteers at low risk for sleep disorders. Participants must meet all of the following criteria: 1. Aged 18-65 years, of either sex. 2. Self-reports generally good sleep and no prominent subjective sleep complaints, such as habitual snoring, frequent awakenings with choking or gasping, chronic difficulty initiating or maintaining sleep, or excessive daytime sleepiness; and has no previous clinical diagnosis of sleep apnea, chronic insomnia, or any other sleep disorder. 3. Has not regularly used sedative-hypnotic medication during the previous month. 4. Voluntarily agrees to participate and provides written informed consent. 5. Able to complete standard full-night attended Type I PSG. 6. Able to wear a smart ring and a continuous body-temperature patch and to use a contactless sleep-monitoring belt concurrently during PSG. 7. Able to complete study-related questionnaires and collection of basic information. Exclusion Criteria: * A participant meeting any of the following criteria will be excluded: 1. Unable to complete full-night PSG. 2. Unable to wear or use the study devices, or has clear intolerance to the devices or adhesive materials. 3. Requires continuous positive airway pressure (CPAP), noninvasive ventilation, supplemental oxygen, or another medical device during the night that may significantly interfere with signal acquisition from PSG or the study devices. 4. Has persistent atrial fibrillation, a severe or unstable medical condition, significant organ dysfunction, or any condition that substantially affects sleep. 5. Has severe cognitive impairment, psychiatric or behavioral abnormalities, or another condition that prevents understanding of the study or cooperation with study procedures. 6. Is considered by the investigator to be unsuitable for completion of overnight monitoring. 7. Has any other condition that, in the investigator's judgment, makes participation inappropriate.
Where it's running
-
Peking University First Hospiatl
Beijing, Beijing Municipality, China Recruiting
Study contacts
- Study coordinator: Cheng Zhang, Dr.
- Email: zhangcheng033@163.com
- Phone: 86-10-13611035724
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.