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HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks
Sajad Mousavi1, Fatemeh Afghah1, U Rajendra Acharya2
1School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, 86011, USA.
Computers in Biology and Medicine
|October 30, 2020
Summary
This study introduces HAN-ECG, an interpretable artificial intelligence (AI) model for detecting atrial fibrillation (AF) from ECG signals. The model achieves high accuracy while providing clear explanations for its diagnostic decisions.
Failed At:
2026-06-19T13:38:46.730995+00:00
