A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset
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Computing in Cardiology
Cited by 5 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. An Automated Approach for Atrial Fibrillation Detection Using Electrocardiogram;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13
2. A Smart IoT Gateway Capable of Prescreening for Atrial Fibrillation;Internet of Things;2022
3. Paroxysmal Atrial Fibrillation Detection by Combined Recurrent Neural Network and Feature Extraction on ECG Signals;Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies;2022
4. Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors;IEEE Transactions on Emerging Topics in Computing;2021-10-01
5. A Review on the State of the Art in Atrial Fibrillation Detection Enabled by Machine Learning;IEEE Reviews in Biomedical Engineering;2021
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