SERN-AwGOP: Squeeze-and-Excitation Residual Network With an Attention-Weighted Generalized Operational Perceptron for Atrial Fibrillation Detection
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with increased stroke risk. Early and accurate detection of AF is crucial for effective management and improved patient outcomes. This paper presents SERN-AwGOP, a deep learning model designed for robust and efficient AF detection...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10897989/ |