Research for Synergistic effect of ECG-Based Artificial Intelligence and Wearable mobile Holter using Combination of Clinical Risk Factors to detect paroxysmal Atrial Fibrillation; A pilot study; randomized clinical trial study
Not Applicable
Recruiting
- Conditions
- Symptoms, signs and abnormal clinical and laboratory findings, NEC
- Registration Number
- KCT0009117
- Lead Sponsor
- Inha University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 222
Inclusion Criteria
Patients who visited the hospital with heart-related symptoms (pitching, dizziness, chest pain, shortness of breath, fainting, etc.) are suitable for electrocardiogram and halter examination by the cardiologist's judgment
Exclusion Criteria
Patients deemed unfit to participate in clinical trials by researcher's judgment
Study & Design
- Study Type
- Observational Study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Diagnostic rate of clinical atrial fibrillation observed during the entire halter trial time
- Secondary Outcome Measures
Name Time Method Wearable halter monitoring prescription time and number / Management and treatment of atrial fibrillation (assess drug use such as NOAC, antiarrhythmic drugs, incidence of cerebral infarction, hospitalization, incidence of cardiovascular events, mortality, quality of life (SF-36))