Cited by

MIT-BIH Atrial Fibrillation Database (v1.0.0)

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

• Classification of intracardiac heart sounds for ventricular and atrial fibrillation based on feature fusion and voting ensemble learning
  Yiming Xin, Rongfeng Zhang, Yiheng Yang et al. Medical & Biological Engineering & Computing, 2026. Cites: dataset
• An Experimental Study of Atrial Fibrillation Detection Using Deep Neural Networks Under Noisy Conditions
  Dalia Vektarytė, Zigmantas Kęstutis Juškevičius, Jolita Bernatavičienė. Vilnius University Open Series, 2026. Cites: dataset
• Explainable electrocardiogram-based atrial fibrillation detection using deep learning
  Jyoti Maggu, Simranjit Kaur, Aabharan Gupta et al. The Computer Journal, 2026. Cites: dataset
• An augmented ECG data based classification for arrhythmia using optimal feature set
  Mohammad Shahnawaz, Nikhil Kumawat, Tinku Singh et al. Health Information Science and Systems, 2026. Cites: dataset
• Strict Pre-Onset Prediction of Atrial Fibrillation from Long-Term ECG with Evaluation of Dataset Expansion and Cross-Database Generalization
  Makoto Yamazaki. SSRN Electronic Journal, 2026. Cites: dataset
• A Novel Noise-Resilient and Explainable Machine Learning Framework for Accurate and Robust ECG-Based Heart Disease Diagnosis
  Abdullah Alhalabi, Saleh I. Alzahrani, Lamia Al Saikhan et al. medRxiv, 2025. Cites: dataset
• Detection of Atrial Fibrillation from ECG Signal Using Efficient Feature Selection and Classification
  Thivya Anbalagan, Malaya Kumar Nath, Archana Anbalagan. Circuits Systems and Signal Processing, 2024. Cites: dataset
• The Effects of Daubechies Wavelet Basis Function (DWBF) and Decomposition Level on the Performance of Artificial Intelligence-Based Atrial Fibrillation (AF) Detection Based on Electrocardiogram (ECG) Signals
  Satria Mandala, Annisa Rizki Pratiwi Wibowo, Adiwijaya Adiwijaya et al. Applied Sciences, 2023. Cites: dataset
• Optimal Classification of Atrial Fibrillation and Congestive Heart Failure Using Machine Learning
  Yunendah Nur Fuadah, Ki Moo Lim. Frontiers in Physiology, 2022. Cites: dataset
• Atrial fibrillation classification based on MLP networks by extracting Jitter and Shimmer parameters
  Pedro Henrique Borghi, Renata Coelho Borges, João Paulo Teixeira. Procedia Computer Science, 2021. Cites: dataset
• Stochastic Behaviour Analysis of Adaptive Averaging Step-size Sign Normalised Hammerstein Spline Adaptive Filtering
  Theerayod Wiangtong, Sethakarn Prongnuch, Suchada Sitjongsataporn. Advances in Science Technology and Engineering Systems Journal, 2021. Cites: dataset
• Traitement parcimonieux de signaux biologiques
  Paul Chollet. 2017. Cites: dataset

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