Puritan Bennett ventilator waveform data (sampling frequency 50Hz) for development of ventilator Clinical Decision Support Systems.  Please see https://dx.doi.org/10.3233/SHTI190235 for research article for which this dataset accompanies.

Please cite the following paper if this dataset is used:

@article{rehm2019improving,
  title={Improving Mechanical Ventilator Clinical Decision Support Systems with a Machine Learning Classifier for Determining Ventilator Mode.},
  author={Rehm, Gregory B and Kuhn, Brooks T and Nguyen, Jimmy and Anderson, Nicholas R and Chuah, Chen Nee and Adams, Jason Yeates},
  journal={Studies in health technology and informatics},
  volume={264},
  pages={318--322},
  year={2019}
}

Additional Details

See A Computational System for Detecting the Acute Respiratory Distress Syndrome Using Physiologic Waveform Data from Mechanical Ventilators for more information on the dataset and the IRB approved protocol (#647002) for the data collection within intensive care environments of the University of California Davis Medical Center.  Briefly,

General Inclusion

• Age ≥ 18
• Mechanically ventilated in the ICU

General Exclusion

• Transferred to ICU from outside facility
• Chronic tracheostomy prior to admission
• Known or suspected bronchopleural fistula
• Diffuse chronic fibrotic lung disease
• Pregnant women
• Prisoners