None listed
Conditions
Interventions
Medical Device : Test group - AI-ECG based treatment group (Practice with SmartECG-AFrisk): Determining ECG monitoring strategy through risk classification based on SmartECG-AFrisk algorithm (AI score
Sponsors
Yonsei University Health System, Severance Hospital
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1) Subjects who voluntarily agreed in writing to participate in this clinical study 2) adults over 30 years of age 3) A person without atrial fibrillation according to a standard 12-guided electrocardiogram 4) a person with atrial fibrillation-related symptoms *Symptoms associated with atrial fibrillation: Symptoms mentioned in the guidelines for atrial fibrillation, such as palpitations, dizziness, breathlessness, frustration, fainting, stroke/temporary ischemic attack (TIA), and systemic embolism. 5) A person who is in sinus rhythm without other arrhythmia that may affect the diagnosis of atrial fibrillation *Other arrhythmias include: Pacing rhythm, atrioventricular block (AV block), Pause, ventricular tachycardia (SVT), ventricular tachycardia (VT), etc.
Exclusion criteria
Exclusion criteria: 1) a patient previously diagnosed with atrial fibrillation 2) Life expectancy is less than one year
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| New diagnostic rates of atrial fibrillation (AF) within 6 months | — |
Secondary
| Measure | Time frame |
|---|---|
| Evaluate the difference in atrial fibrillation (AF) diagnosis rates between high-risk and low-risk groups within 6 months. | — |
Countries
Korea, Republic of
Contacts
Public Contactheetae yu
Yonsei University Health System, Severance Hospital
Outcome results
None listed