Exploratory Study of Apple Watch Electrocardiographic Diagnostic Performance Enhanced by an Artificial Intelligence Algorithm
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Atrial Fibrillation
- Type
- Observational
- Design
- Observational Model: Case-OnlyTime Perspective: Cross-Sectional
Participation Requirements
- Age
- Between 22 years and 125 years
- Gender
- Both males and females
Description
After being informed about the study, participants hospitalized for ablation or cardioversion or having a cardiac rhythm consultation at the investigational center will have Apple Watch ECG recordings done simultaneously with 12-lead ECG measurements performed in accordance with the existing in-stay...
After being informed about the study, participants hospitalized for ablation or cardioversion or having a cardiac rhythm consultation at the investigational center will have Apple Watch ECG recordings done simultaneously with 12-lead ECG measurements performed in accordance with the existing in-stay subject monitoring protocol. AI-AW will be compared to standard manual 12-lead ECG reviewed by cardiologists for AF detection.
Tracking Information
- NCT #
- NCT04792905
- Collaborators
- Not Provided
- Investigators
- Principal Investigator: Laurent Fiorina, Dr Institut Cardiologique Paris Sud Hôpital Privé Jacques Cartier
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