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Application of sleep sounds based on deep learning in monitoring obstructive sleep apnea

Application of sleep sounds based on deep learning in monitoring obstructive sleep apnea

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300074585
Enrollment
Unknown
Registered
2023-08-10
Start date
2023-08-10
Completion date
Unknown
Last updated
2023-08-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sleep-breathing disorder

Interventions

Gold Standard:PSG(polysomnography test)
Index test:Apnea Hyponea Index

Sponsors

Shenzhen Second People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) The subjects voluntarily join the study and sign the informed consent; 2) Aged between 18 and 70; 3) Sleep monitoring and data collection should be ?4 hours; 4) In addition to the standard night PSG, voluntarily wear a smart band and microphone based on PPG.

Exclusion criteria

Exclusion criteria: 1) The subjects had congestive heart failure, hypoventilation syndrome (such as chronic obstructive pulmonary disease), and neuromuscular disease; 2) Currently receiving interventions such as positive airway pressure or oxygen therapy; 3) The subject is participating in other clinical trials or taking drugs that affect sleep; 4) Patients with cleft lip and palate and other diseases affecting snoring; 5) PSG or microphone recording less than 4 hours, excluded. 6) PSG monitoring is not successful; 7) Inability to get a full night's sleep in a sleep center.

Design outcomes

Primary

MeasureTime frame
Accuracy;Area under ROC curve, AUC;

Secondary

MeasureTime frame
Sensitivity ;Specificity ;Break-even point and F value of P-R curve;Positive predicative value;Negative predictive value;

Countries

China

Contacts

Public ContactTao Jing

Shenzhen Second People's Hospital

562047934@qq.com+86 136 3263 5826

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026