A new approach for arrhythmia classification using deep coded features and LSTM networks
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications,Software
Reference51 articles.
1. ECG waveform and heart rate variability signal analysis to detect cardiac arrhythmias;Ghista;Cardiol. Sci. Technol.,2016
2. Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats;Oh;Comput. Biol. Med.,2018
3. Essential ECG clues in patients with congenital heart disease and arrhythmias;Cano;J. Electrocardiol.,2017
4. Application of higher order spectra for accurate delineation of atrial arrhythmia;Prasad,2013
5. Application of higher order statistics for atrial arrhythmia classification;Martis;Biomed. Signal Process. Control,2013
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