Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms
Abstract
Background: Acute myocardial infarction (AMI) is associated with a poor prognosis. Therefore, accurate diagnosis and early intervention of the culprit lesion are of extreme importance. Therefore, we developed a neural network algorithm in this study to automatically diagnose AMI from 12-lead electrocardiograms (ECGs). Methods: We used the open-source PTB-XL database as the training and validation sets, with a 7:3 sample size ratio. Twenty-One...
Paper Details
Title
Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms
Published Date
Aug 24, 2021
Volume
8
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