FindTrial
Sign In

A Electrocardiogram Diagnosis Assistant System Based on Recurrent Neural Networks

A Electrocardiogram Diagnosis Assistant System Based on Recurrent Neural Networks

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036387
Enrollment
Unknown
Registered
2020-08-22
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-09-14

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

Conditions

Cardiovascular Diseases

Interventions

Gold Standard:The diagnosis was made by two physicians on the same day based on the results of coronary angiography.
Index test:The&#32
electrocardiogram&#32
diagnosis&#32
assistant&#32
system&#32
based&#32
on&#32
recurrent&#32
neural&#32
networks.

Sponsors

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

Eligibility

Sex/Gender
All
Age
2 Years to No maximum

Inclusion criteria

Inclusion criteria: No need for inclusion criteria in a real-world study

Exclusion criteria

Exclusion criteria: No need for exclusion criteria in a real-world study

Design outcomes

Primary

MeasureTime frame
ECG;myocardial enzymes;Brain natriuretic peptide;ultrasonic cardiogram;Coronary CTA;Coronary Angiography;SEN, SPE, ACC, AUC of ROC, PPV, NPV;consistency;—

Countries

China

Contacts

Public ContactChen Kang

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

chenkang1978@163.com+86 18917762199

Outcome results

None listed

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