NCT06669884

Use of Determine Learning-based Cardiodynamicsgram (CDG) for Rapid and Precise Stratification of Chest Pain in Emergency Department

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 8,000 (estimated)
• Sponsor: Qilu Hospital of Shandong University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

Chest pain accounts for 10-20 percent of all emergency department visits. The stratification of chest pain is always a challenge. Electrocardiograms (ECG) have been used in clinical practice for 100 years, which is too important to be replaced due to its advantages of non-invasive, simple, rapid and inexpensive. ECG contains numerous signals derived from depolarization and repolarization of cardiomyocytes. However, the interpretation of ECG hasn't improved much in a hundred years. Based on determine-learning, Cong W's team developed an technique called "cardiodynamicsgram (CDG)", which is an outstanding method to identify myocardial ischemia. This study will further investigate the accuracy of CDG in stratification of patients with chest pain in Emergency department.

Conditions

• Chest Pain
• Acute Coronary Syndrome

Interventions

Type	Name	Description
OTHER	Cardiodynamicsgram (CDG)	Cardiodynamicsgram (CDG) technique

Timeline

• Start date: 2021-10-28
• Primary completion: 2024-09-30
• Completion: 2024-10-31
• First posted: 2024-11-01
• Last updated: 2024-11-12

Locations

1 site across 1 country: China