Exploratory Study of Apple Watch Electrocardiographic Diagnostic Performance Enhanced by an Artificial Intelligence Algorithm
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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)
Condition or disease
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.
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Layout table for eligibility information
Ages Eligible for Study:
22 Years and older (Adult, Older Adult)
Sexes Eligible for Study:
Accepts Healthy Volunteers:
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
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
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