A Computational Architecture for Inference of a Quantized-CNN for Detecting Atrial Fibrillation

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...

Full description

Bibliographic Details
Main Authors: Andrés F Jaramillo-Rueda, Laura Y Vargas-Pacheco, Carlos A Fajardo
Format: Article
Language:English
Published: Universidad EAFIT 2020-11-01
Series:Ingeniería y Ciencia
Subjects:
Atrial fibrillation
Automatic detection
FPGA implementation
Quantized Convolutional Neural Network
Online Access:https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/6372

Similar Items

Similar Items