ID: 4345715 PPG-BASED AF DETECTION WITH DEEP LEARNING FROM WEARABLE DEVICES: A SCALABLE MODEL FOR PASSIVE AF MONITORING
Yingshuo Liu, Chanho Lim, Estelle Taki, Michel Abou Khalil, Christian M. Massad, Yishi Jia, Abboud Hassan, Cong Zhao, Hadi Younes, Ghassan Bidaoui, Mayana Bsoul, Mohammad Montaser Atasi, Yunsung Chung, Hongyu Miao, Amitabh C. Pandey, Swati N. Rao, Omar Kreidieh, Han Feng, NASSIR F. MARROUCHE · Heart Rhythm O2 · 2025
Wearable technology is reshaping how we detect atrial fibrillation (AF). Unlike ECG, which demands user engagement and active capture, photoplethysmography (PPG) offers a painless, continuous way to monitor heart rhythms with passive sensing.