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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

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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0009117
Enrollment
222
Registered
2024-01-16
Start date
2023-11-17
Completion date
Unknown
Last updated
2024-01-22

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

Conditions

None listed

Interventions

None listed

Sponsors

Inha University Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

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

Exclusion criteria: Patients deemed unfit to participate in clinical trials by researcher's judgment

Design outcomes

Primary

MeasureTime frame
Diagnostic rate of clinical atrial fibrillation observed during the entire halter trial time—

Secondary

MeasureTime frame
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))—

Countries

Korea, Republic of

Contacts

Public ContactHyo Bin Shin

Inha University Hospital

hbshin882@naver.com+82-32-890-2461

Outcome results

None listed

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