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Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiers

  • Published:2019-01 Issue: Volume:47 Page:41-48
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Mondéjar-Guerra V.,Novo J.,Rouco J.,Penedo M.G.,Ortega M.

Funder

Spanish Ministry of Economy, Industry and Competitiveness and the European Regional Development Fund

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

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1. OSGAN: Omni-scale and Global-aware ECG arrhythmia diagnostic network;Biomedical Signal Processing and Control;2024-10

2. Detection of Dysrhythmias from Electrocardiogram Signals Using Noise Removal and Deep Learning Techniques;SN Computer Science;2024-09-14

3. ECG signal classification via ensemble learning: addressing intra and inter-patient variations;International Journal of Information Technology;2024-08-31

4. xECG-Beats: an explainable deep transfer learning approach for ECG-based heartbeat classification;Network Modeling Analysis in Health Informatics and Bioinformatics;2024-08-23

5. Accurate Prediction of Heart Disease Using Machine Learning: A Case Study on the Cleveland Dataset;International Journal of Innovative Science and Research Technology (IJISRT);2024-07-29
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