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Early Warning of Common Abnormal Mechanical Ventilation Waveforms using Image Recognition Algorithm

Early Warning of Common Abnormal Mechanical Ventilation Waveforms using Image Recognition Algorithm

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500095298
Enrollment
Unknown
Registered
2025-01-06
Start date
2025-01-06
Completion date
Unknown
Last updated
2025-01-13

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

Conditions

None

Interventions

Gold Standard:Examination results from a clinical specialist with expertise in ventilator waveform signal processing.
Index test:Intelligent algorithms for common anomalous waveforms in mechanical ventilation

Sponsors

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.age >=18 years; 2.Sign informed consent; 3.under invasive mechanical ventilation; 4.expectation of MV > 24 hours.

Exclusion criteria

Exclusion criteria: 1.Pregnancy; 2.Bronchopleural fistula or bronchoesophageal fistula.

Design outcomes

Primary

MeasureTime frame
Anomaly Index;—

Secondary

MeasureTime frame
Algorithm performance;Hospital stay;Pulmonary Mechanics Parameters;Incidence of ventilator-associated events;28-day mortality;Ventilator parameters;—

Countries

China

Contacts

Public ContactHongping Qu

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

hongpingqu0412@hotmail.com+86 21 64370045

Outcome results

None listed

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