Validation of ECG Measurement and Atrial Fibrillation Detection
NCT06099249 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 602
Last updated 2023-10-25
Summary
Atrial fibrillation (AFib) is a common type of cardiac arrhythmia in clinical practice, affecting millions of people worldwide. Early detection and treatment of atrial fibrillation are crucial in preventing serious complications such as stroke and heart failure. In recent years, with the flourishing development of wearable devices and mobile technology, electrocardiogram (ECG) measurement applications embedded in smartwatches have gradually become a non-invasive and convenient method for heart rate monitoring. However, the accuracy of these devices has not yet been fully determined. This study aims to verify the ECG measurement and atrial fibrillation detection function of the ASUS ECG App. The accuracy of the ECG application in detecting atrial fibrillation and measuring ECG will be evaluated by comparison with standard 12-lead ECGs.
Conditions
Interventions
- DEVICE
-
ASUS ECG App
The procedure will commence with instructing the participants to become acquainted with the ASUS ECG App. Following this introduction, participants will be asked to sit quietly for a 5-minute resting period before undergoing a 12-lead ECG recording, which will last for approximately 30 seconds. The participant will be guided to simultaneously record a separate single-lead ECG using the ASUS ECG App. Both data streams will be synced together by the Study Staff. Each participant will undergo a total of three trials involving the simultaneous recording of a 12-lead ECG and a single-lead ECG using the ASUS ECG App.
Sponsors & Collaborators
-
Taipei Medical University Hospital
collaborator OTHER -
ASUSTek Computer INC.
lead INDUSTRY
Eligibility
- Min Age
- 18 Years
- Max Age
- 99 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-11-01
- Primary Completion
- 2024-06-30
- Completion
- 2024-12-31
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