A Computational Architecture for Inference of a Quantized-CNN for Detecting Atrial Fibrillation
Atrial Fibrillation is a common cardiac arrhythmia, which is characterized by an abnormal heartbeat rhythm that can be life-threatening. Recently, researchers have proposed several Convolutional Neural Networks (CNNs) to detect Atrial Fibrillation. CNNs have high requirements on computing and memo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad EAFIT
2020-11-01
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| Series: | Ingeniería y Ciencia |
| Subjects: | |
| Online Access: | https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/6372 |