Cited by

WFDB Software Package (v10.7.0)

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16 publications cite any version of this project, newest first.

• Multiscale Statistical Process Control of RR Interval Dynamics for Explainable Pre-Onset Characterization of Paroxysmal Atrial Fibrillation
  Michel Alexander Castañeda Alarcón, Javier Díaz-Carmona, Horacio Rostro‐González et al. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2026.
• An OMOP Common Data Model pipeline for electrocardiography dataset integration by standardizing signal metadata and heart rate variability features
  Pierluigi Reali, Valentina Tibollo, Gaia Riboni et al. Frontiers in Bioinformatics, 2026.
• Cross-domain transfer learning strategy enhances interpretability of deep learning model explanations
  Matteo Zannini, Alexander Hammer, Hagen Malberg et al. Scientific Reports, 2026.
• Multimodal deep learning for acute myocardial infarction detection from 12-lead electrocardiogram: a multi-centre study with cross-hospital validation
  Vibha Gupta, Lukas Hilgendorf, Erik Andersson et al. European Heart Journal - Digital Health, 2025.
• Multi-modal deep-learning troponin prediction from electrocardiograms and demographic data
  Lukas Hilgendorf, Pétur Pétursson, Erik Andersson et al. European Heart Journal - Digital Health, 2025.
• Robust screening of atrial fibrillation with distribution classification
  Pierre-François Massiani, Lukas Haverbeck, Claas Thesing et al. Scientific Reports, 2025.
• Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study
  Philip Hempel, Antônio H. Ribeiro, Marcus Vollmer et al. npj Digital Medicine, 2025.
• Sudden Cardiac Death Risk Prediction Based on Noise Interfered Single-Lead ECG Signals
  Weidong Gao, Jie Liao. Electronics, 2024.
• EGM: Intracardiac Electrograms
  Anish S. Shah. 2024.
• An open-access simultaneous electrocardiogram and phonocardiogram database
  Arsalan Kazemnejad, Sajjad Karimi, Peiman Gordany et al. Physiological Measurement, 2024.
• Pyheartlib: A Python package for processing electrocardiogram signals
  Sadegh Mohammadi. The Journal of Open Source Software, 2024.
• ALGORITHMIC AND GRAPHICAL TOOLS FOR PRE-PROCESSING OF HOLTER DATA
  А.В. Ляшко, M. S. Yefremov. Journal of Numerical and Applied Mathematics, 2024.
• A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG
  Elena Merdjanovska, Aleksandra Rashkovska. Scientific Reports, 2023.
• An empirical study of modified beat SQI based majority voting fusion method for heart-rate estimation in noisy multimodal cardiovascular signals
  Shalini A. Rankawat. Physiological Measurement, 2022.
• Time Series Representation for Real-World Applications of Deep Neural Networks
  Guillaume Levasseur, Hugues Bersini. International Joint Conference on Neural Networks (IJCNN), 2022.
• Norwegian Endurance Athlete ECG Database
  Bjørn-Jostein Singstad. IEEE Open Journal of Engineering in Medicine and Biology, 2022.

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