This observational exploratory prospective study will evaluate the performance on an Artificial Intelligence (AI) solution interpreting ECG (electrocardiogram) collected from an Apple Watch (AI-AW) in the detection of Atrial Fibrillation (AF)
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.
Study Type
OBSERVATIONAL
Enrollment
200
Two Apple Watch recordings (one recording with the watch on the wrist and one on the left side of the abdomen) interpreted by Cardiologs AI done simultaneously with each 12-lead ECG
Institut Cardiologique Paris Sud Hôpital Privé Jacques Cartier
Massy, France
Performance of AF detection
Performance of AF detection by an artificial intelligence (AI) solution interpreting ECG collected via Apple Watches (AI-AW), compared to physician's diagnosis from the 12 leads ECG
Time frame: 1 day
AW versus AI-AW
Comparison of Apple Watch (AW) and AI-AW AF detection performance
Time frame: 1 day
AI-AW versus AI-12lead
Comparison of the performance of AF detection by AI-AW and AI applied to the 12-lead ECG
Time frame: 1 day
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