Actively Recruiting
Use of Determine Learning-based Cardiodynamicsgram (CDG) for Rapid and Precise Stratification of Chest Pain in Emergency Department
Led by Qilu Hospital of Shandong University · Updated on 2024-11-12
8000
Participants Needed
1
Research Sites
157 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
Official Title
Use of Determine Learning-based Cardiodynamicsgram (CDG) for Rapid and Precise Stratification of Chest Pain in Emergency Department
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Aged 18 years or older
- Suspected acute coronary syndrome with symptoms of acute chest pain visiting the emergency department
You will not qualify if you...
- Diagnosed with ST-segment elevation myocardial infarction (STEMI)
- Hemodynamic instability such as cardiogenic shock or cardiac arrest
- Malignant arrhythmias like ventricular tachycardia, ventricular fibrillation, or third-degree atrioventricular block
- Aortic coarctation or acute pulmonary embolism
- Unanalyzable ECG due to loosened leads, unstable baseline, or signal interference
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Qilu Hospital of Shandong University
Jinan, Shandong, China, 250012
Actively Recruiting
Research Team
J
Jiaojiao Pang, Doctor
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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