Cited by

PAF Prediction Challenge Database (v1.0.0)

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5 publications cite any version of this project or its primary paper, newest first.

• Prediction of paroxysmal atrial fibrillation using a convolutional neural network and electrocardiogram signals
  Henry Castro, Juan David Garcia-Racines, Álvaro Bernal. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, 2024. Cites: dataset
• Convolutional neural networks predict the onset of paroxysmal atrial fibrillation: Theory and applications
  Murat Sürücü, Yalçın İşler, Matjaž Perc et al. Chaos An Interdisciplinary Journal of Nonlinear Science, 2021. Cites: dataset
• Silent Paroxysmal Atrial Fibrillation Detection by Neural Networks Based on ECG Records
  Omid Aligholipour, Mehmet Kuntalp, Safa Sadaghiyanfam. Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT), 2019. Cites: dataset
• Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients
  Bahareh Pourbabaee, Mehrsan Javan, K. Khorasani. IEEE Transactions on Systems Man and Cybernetics Systems, 2017. Cites: dataset
• Feature leaning with deep Convolutional Neural Networks for screening patients with paroxysmal atrial fibrillation
  Bahareh Pourbabaee, Mehrsan Javan, K. Khorasani. International Joint Conference on Neural Networks (IJCNN), 2016. Cites: dataset

Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.