Scientific Data (Jan 2024)

A Time-of-Flight and Radar Dataset of a neonatal Thorax Simulator with synchronized Reference Sensor Signals for respiratory Rate Detection

  • Johanna Gleichauf,
  • Sven Herrmann,
  • Christine Niebler,
  • Alexander Koelpin

DOI
https://doi.org/10.1038/s41597-024-02946-5
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 8

Abstract

Read online

Abstract In this paper we present an open-source Time-of-Flight and radar dataset of a neonatal thorax simulator for the development of respiratory rate detection algorithms. As it is very difficult to gain recordings of (preterm) neonates and there is hardly any open-source data available, we built our own neonatal thorax simulator which simulates the movement of the thorax due to respiration. We recorded Time-of-Flight (ToF) and radar data at different respiratory rates in a range of 5 to 80 breaths per minute (BPM) and with varying upstroke heights. As gold standard a laser micrometer was used. The open-source data can be used to test new algorithms for non-contact respiratory rate detection.