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.

Inclusion Criteria:

• Patient aged 22 or older, able and willing to participate in the study
• Patient admitted to hospital for ablation, cardioversion or cardiac electrophysiological exploration or who come for regular rhythmology consultations
• Patient who has read the information note and has given his or her consent before any procedure related to the study
• Patient affiliated to social security

Exclusion Criteria:

• Pregnant or breastfeeding women
• Patient with a pacemaker, implantable defibrillator or cardiac resynchronisation therapy device.
• Subject related to the investigator or any other staff member directly involved in the conduct of the study
• Patient incapable of giving consent, minor or adult patient protected by law

200 participants: patients hospitalized for ablation or cardioversion or patients having cardiac rhythm consultation and who have expressed non-opposition to participate to the study