Using neural networks to predict cardiac arrhythmias
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/6362338/6377652/06377734.pdf?arnumber=6377734
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Internet of Things and the electrocardiogram using artificial intelligence—a survey;Computational Intelligence and Blockchain in Complex Systems;2024
2. DeepArr: An investigative tool for arrhythmia detection using a contextual deep neural network from electrocardiograms (ECG) signals;Biomedical Signal Processing and Control;2023-08
3. Review of analysis of ECG based arrhythmia detection system using machine learning;PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ENGINEERING RESEARCH AND APPLICATION 2022 (ICERA 2022);2023
4. Prediction and classification of ventricular arrhythmia based on phase-space reconstruction and fuzzy c-means clustering;Computers in Biology and Medicine;2022-03
5. Arrhythmia Classification Using Hybrid Feature Selection Approach and Ensemble Learning Technique;2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2021-09-12
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