Cited by

Apnea-ECG Database (v1.0.0)

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

• A Low-Cost, Interpretable Machine-Learning System for Sleep Apnea Detection Using ECG and SpO2 Signals
  Aashi Gupta. Zenodo (CERN European Organization for Nuclear Research), 2026. Cites: dataset
• MyoNet: intelligent feature engineering for precise early prediction of myocardial infarction
  Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik. Soft Computing, 2026. Cites: dataset
• Federated Learning Algorithm for Identification of Apnea Sleeping Disorder
  Pietro Fusco, Palma Errico, Salvatore Venticinque. Lecture notes on data engineering and communications technologies, 2025. Cites: dataset
• Leveraging Transformer Models for Accurate Detection of Obstructive Sleep Apnea from Single-Lead ECG Signals
  Pranta Biswas, Mohammad Abu Yousuf. International Conference on Computing Advancements (ICCA), 2024. Cites: dataset
• Holographic Processing of Electrocardiograms
  N. P. Stadnaya, S. P. Lukinskikh, Sergey Alekseevich Pereselkov et al. Physics of Wave Phenomena, 2023. Cites: dataset
• OSASUD: A dataset of stroke unit recordings for the detection of Obstructive Sleep Apnea Syndrome
  Andrea Bernardini, Andrea Brunello, Gian Luigi Gigli et al. Scientific Data, 2022. Cites: dataset
• Automatic sleep staging by cardiorespiratory signals: a systematic review
  Farideh Ebrahimi, Iman Alizadeh. Sleep And Breathing, 2021. Cites: dataset

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