Comparing Binary Classification Results for Dangerous Ventricular Arrhythmias Using 2 and 4 Seconds Short ECG Signal Fragments
Author:
Affiliation:
1. Saint Petersburg State Electrotechnical University «LETI»,Department of Biotechnical Systems,Saint Petersburg,Russia
2. Electrocardiology Research Laboratory, Almazov National Medical Research Centre,Saint Petersburg,Russia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10499439/10499284/10499488.pdf?arnumber=10499488
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3. Chronic heart failure;Melekhov;Atmosfera, News of cardiology,2017
4. Approaches to Sudden Death from Coronary Heart Disease
5. Identification of patients at high risk for sudden cardiac death
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