1D neural network design to detect cardiac arrhythmias
This article shows a neuronal network for deep learning focused on recognizing and classification five types of cardiac signals (Sinus, Ventricular Tachycardia, Ventricular Fibrillation, Atrial Flutter, and Atrial Fibrillation). The final objective is to obtain an architecture that can be implemente...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Distrital Francisco José de Caldas
2021-01-01
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| Series: | Visión Electrónica |
| Subjects: | |
| Online Access: | https://revistas.udistrital.edu.co/index.php/visele/article/view/17430 |