Cited by

MIT-BIH Polysomnographic Database (v1.0.0)

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

• Synthetic data generation methods for longitudinal and time series health data: a systematic review
  Marko Miletic, Murat Sariyar. BMC Medical Informatics and Decision Making, 2025. Cites: dataset
• Robust performances of a nocturnal long-term ECG algorithm for the evaluation of sleep apnea syndrome: A pilot study
  Pauline Guyot, Morgane Eveilleau, Thierry Bastogne et al. PLoS ONE, 2025. Cites: dataset
• Deep learning framework for automatic detection and classification of sleep apnea severity from polysomnography signals
  A. Raja Brundha, A. Lakshmi Sangeetha, A. Balajiganesh. Neural Computing and Applications, 2024. Cites: dataset
• Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection
  Daniele Padovano, Arturo Martínez‐Rodrigo, Jose Manuel Pastor et al. Computing in cardiology, 2022. 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

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