Detection of Atrial Fibrillation Using a Machine Learning Approach
The atrial fibrillation (AF) is one of the most well-known cardiac arrhythmias in clinical practice, with a prevalence of 1–2% in the community, which can increase the risk of stroke and myocardial infarction. The detection of AF electrocardiogram (ECG) can improve the early detection of diagnosis....
Main Authors: | Sidrah Liaqat, Kia Dashtipour, Adnan Zahid, Khaled Assaleh, Kamran Arshad, Naeem Ramzan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
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Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/11/12/549 |
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