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Facial Video-based Remote cardiovascular Disease Measurement via Self-supervised Learning

Facial Video-based Remote Cardiovascular Disease Measurement via Self-supervised Learning

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600116106
Enrollment
Unknown
Registered
2026-01-05
Start date
2024-02-16
Completion date
Unknown
Last updated
2026-01-12

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

Conditions

Arrhythmia

Interventions

Gold Standard:Electrocardiogram
Index test:The diagnostic test to be evaluated in this study is a facial video-based non-contact arrhythmia diagnosis method. This method first proposes an individual-cardiac feature disentanglement f

Sponsors

Department of Cardiology Tongji Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Age>=18 y Vital signs stable Able to cooperate with 1min of fascial data collection

Exclusion criteria

Exclusion criteria: Age less than 18y Vital signs instable NYHA III-IV grade paralyzed or any other conditions that cannot cooperate with data collection

Design outcomes

Primary

MeasureTime frame
ECG;—

Secondary

MeasureTime frame
Holter;UCG;—

Countries

China

Contacts

Public ContactXuebo Liu

Tongji hospital, Tongji University

Lxb70@hotmail.com+86 138 0192 6702

Outcome results

None listed

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