Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

BackgroundWearable devices have evolved as screening tools for atrial fibrillation (AF). A photoplethysmographic (PPG) AF detection algorithm was developed and applied to a convenient smartphone-based device with good accuracy. However, patients with paroxysmal AF frequently exhibit premature atrial...

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Main Authors: Kwon, Soonil (Author), Hong, Joonki (Author), Choi, Eue-Keun (Author), Lee, Euijae (Author), Hostallero, David Earl (Author), Kang, Wan Ju (Author), Lee, Byunghwan (Author), Jeong, Eui-Rim (Author), Koo, Bon-Kwon (Author), Oh, Seil (Author), Yi, Yung (Author)
Format: Book
Published: JMIR Publications, 2019-06-01T00:00:00Z.
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