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An Adaptive Organization Index to Characterize Atrial Fibrillation using Wrist:Type Photoplethysmographic Signals
2016 Computing in Cardiology Conference (CinC)
The performance of photoplethysmography (PPG)based wearable monitors to diagnose atrial fibrillation (AF) remains unknown to date. This study aims at assessing the performance of new indices quantifying the level of organization in PPG signals to diagnose AF. A database made of 18 adult patients undergoing catheter ablation of various cardiac arrhythmias was used. PPG signals were recorded using a wrist-type sensor. A 12-lead ECG was used as gold standard. ECGs were annotated by experts anddoi:10.22489/cinc.2016.097-351 fatcat:egvnlmggjnfarol7vdche6h2ie