Cited by

ECG Fragment Database for the Exploration of Dangerous Arrhythmia (v1.0.0)

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

• Exploring Data-Oriented Strategies for Training ECG Self-supervised Models
  Rafael da Costa Silva, Adilson Medronha, Diego Furtado Silva. Lecture notes in computer science, 2026. Cites: dataset
• Methodologies Incorporating Cepstral Nulling for Time Series Cepstral Dissimilarity Evaluation
  Miaotian Li, Ciprian Doru Giurcăneanu. Circuits Systems and Signal Processing, 2025. Cites: dataset
• Approaches to Classify Ventricular Arrhythmias: Classical Methods and Neural Networks
  Манило Людмила Алексеевна, Anatoliy P. Nemirko, Ekaterina G. Evdakova. Lecture notes in computer science, 2025. Cites: dataset
• Ventricular Arrhythmia Classification Using Classical and Neural Network Approaches
  Манило Людмила Алексеевна, Anatoliy P. Nemirko, Ekaterina G. Evdakova. Pattern Recognition and Image Analysis, 2024. Cites: dataset
• Assessment of the Risk of Sudden Cardiac Death Using Machine Learning Methods
  Nafisa Islamovna Yusupova, Marat R. Bogdanov. Pattern Recognition and Image Analysis, 2023. Cites: dataset
• Classification of Arrhythmias Using a Pre-trained Deep Learning Model with Binary Images of Segmented ECG
  Hanadi Solieman, S. Sali. Journal of the Russian Universities Radioelectronics, 2023. Cites: dataset
• Convex Hull Proximity Estimation for Machine Learning Problems
  Anatoliy P. Nemirko. Pattern Recognition and Image Analysis, 2022. Cites: dataset

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