This observational prospective clinical investigation 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)
Each patient hospitalized for ablation or cardioversion and having given consent to participate in the clinical investigation will have ECG recordings by Apple Watch performed simultaneously with a 12D ECG measurement by a cardiologist before and/or after treatment, in accordance with the existing patient monitoring protocol. Similarly, patients attending a rhythmology consultation or hospitalized in the cardiology department will have simultaneous ECG recordings with an Apple Watch during the scheduled routine 12D ECG recording.
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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