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Study on automatic diagnosis and classification of obstructive sleep apnea hypopnea syndrome based on deep learning

Study on automatic diagnosis and classification of obstructive sleep apnea hypopnea syndrome based on deep learning

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000041421
Enrollment
Unknown
Registered
2020-12-25
Start date
2021-01-01
Completion date
Unknown
Last updated
2021-03-15

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

Conditions

Obstructive sleep apnea hypopnea syndrome

Interventions

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Sponsors

Shanghai Sixth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
30 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1) Patients with obstructive sleep apnea hypopnea syndrome; 2) Age: > 30 years old and < 65 years old; 3) No alcohol or drug addiction, or using psychotropic drugs, sedatives, narcotics, etc;

Exclusion criteria

Exclusion criteria: 1) Severe visceral diseases (such as heart, liver and kidney insufficiency), central nervous system diseases and other sleep disorders; 2) Depression, schizophrenia and other mental disorders; 3) History of head trauma, brain tumor, epilepsy, stroke, transient ischemic attack, coma and other central nervous system diseases; other sleep diseases: narcolepsy, insomnia, chronic sleep deprivation, REM behavior disorder and restless legs syndrome, central OSAHS or obesity hypoventilation syndrome; 4) Have received OSAHS treatment: CPAP, surgery and oral appliances, etc; 5) Pregnant women; 6) Suffering from tuberculosis and AIDS and other infectious diseases;

Design outcomes

Primary

MeasureTime frame
Polysomnography;SEN, SPE, ACC, AUC of ROC;

Countries

China

Contacts

Public ContactChenyang Li

Shanghai Sixth People's Hospital

2388862048@qq.com+86 17724601613

Outcome results

None listed

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