Cloud-based ECG Interpretation of Atrial Fibrillation Condition with Deep Learning Technique
Abstract
The prevalent type of arrhythmia associated with an increased risk of stroke and mortality is atrial fibrillation (AF). It is a known priority to identify AF before the first complication occurs. No previous studies have explored the feasibility of conducting AF screening using a deep learning (DL) algorithm (integrated cloud-computing) telehealth surveillance system. Hence, we address this problem. The goal of this research was to determine the...
Paper Details
Title
Cloud-based ECG Interpretation of Atrial Fibrillation Condition with Deep Learning Technique
Published Date
Feb 1, 2021
Volume
10
Issue
1
Pages
33 - 40
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