A comparative study and analysis of LSTM deep neural networks for heartbeats classification

This publication has 22 references indexed in Scilit:

• Deep neural network based approach for ECG classification using hybrid differential features and active learning
  IET Signal Processing, 2019
• Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
  Computers in Biology and Medicine, 2018
• A deep learning approach for ECG-based heartbeat classification for arrhythmia detection
  Future Generation Computer Systems, 2018
• Classification of Heart Diseases Based On ECG Signals Using Long Short-Term Memory
  2018
• Deep learning for healthcare applications based on physiological signals: A review
  Computer Methods and Programs in Biomedicine, 2018
• Classification of ECG Arrhythmia using Recurrent Neural Networks
  Procedia Computer Science, 2018
• Application of variational mode decomposition and ABC optimized DAG-SVM in arrhythmia analysis
  2017
• Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias
  Scientific Reports, 2017
• Understanding and using sensitivity, specificity and predictive values
  Indian Journal Of Ophthalmology, 2008
• The impact of the MIT-BIH Arrhythmia Database
  IEEE Engineering in Medicine and Biology Magazine, 2001