An efficient deep learning model to predict cardiovascular disease based on ECG signal
Author:
Affiliation:
1. National Engineering, School of Gabes, University of Gabes,MACS Laboratory,Gabes,Tunisia,6029
2. 3LR18ES34 PEESE National Engineering, School of Gabes, Gabes University,Gabes,Tunisia,6029
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9955493/9955494/09955695.pdf?arnumber=9955695
Reference9 articles.
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2. Automatic diagnosis of the 12-lead ECG using a deep neural network
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4. Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea
5. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals;goldberger;Circulation,2000
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