Review of Deep Learning-Based Atrial Fibrillation Detection Studies
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References listed on IDEAS
- Oliver Faust & Edward J. Ciaccio & U. Rajendra Acharya, 2020. "A Review of Atrial Fibrillation Detection Methods as a Service," IJERPH, MDPI, vol. 17(9), pages 1-34, April.
- Narin, Ali & Isler, Yalcin & Ozer, Mahmut & Perc, Matjaž, 2018. "Early prediction of paroxysmal atrial fibrillation based on short-term heart rate variability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 56-65.
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- Yujia Wang & Zhe Chen & Sen Tian & Shuxun Zhou & Xinbo Wang & Ling Xue & Jianhui Wu, 2022. "Convolutional Neural Network-Based ECG-Assisted Diagnosis for Coal Workers," IJERPH, MDPI, vol. 20(1), pages 1-17, December.
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Keywords
atrial fibrillation; ECG; deep learning; deep neural networks; arrhythmia detection;All these keywords.
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