Scientific Data (Mar 2023)

WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset

  • Daniel R. Miller,
  • Gurpreet S. Dhillon,
  • Nicholas Bambos,
  • Andrew Y. Shin,
  • David Scheinker

DOI
https://doi.org/10.1038/s41597-023-02037-x
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 7

Abstract

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Abstract WAVES is a large, single-center dataset comprising 9 years of high-frequency physiological waveform data from patients in intensive and acute care units at a large academic, pediatric medical center. The data comprise approximately 10.6 million hours of 1 to 20 concurrent waveforms over approximately 50,364 distinct patient encounters. The data have been de-identified, cleaned, and organized to facilitate research. Initial analyses demonstrate the potential of the data for clinical applications such as non-invasive blood pressure monitoring and methodological applications such as waveform-agnostic data imputation. WAVES is the largest pediatric-focused and second largest physiological waveform dataset available for research.