Patient-Specific Detection of Atrial Fibrillation in Segments of ECG Signals using Deep Neural Networks
Atrial Fibrillation (AF) is the most common cardiac arrhythmia worldwide. It is associated with reduced quality of life and increases the risk of stroke and myocardial infarction. Unfortunately, many cases of AF are asymptomatic and undiagnosed, which increases the risk for the patients. Due to its...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Neogranadina
2019-11-01
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| Series: | Ciencia e Ingeniería Neogranadina |
| Subjects: | |
| Online Access: | https://revistasunimilitareduco.biteca.online/index.php/rcin/article/view/4156 |
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