Gleichauf, JohannaJohannaGleichaufHerrmann, SvenSvenHerrmannNiebler, ChristineChristineNieblerKölpin, AlexanderAlexanderKölpin2024-06-172024-06-172024-12-01Scientific Data 11 (1): 110 (2024-12-01)https://hdl.handle.net/11420/47801In 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.en2052-4463Scientific data20241Springer Naturehttps://creativecommons.org/licenses/by/4.0/Computer Science, Information and General Works::004: Computer SciencesNatural Sciences and Mathematics::510: MathematicsNatural Sciences and Mathematics::570: Life Sciences, BiologyTechnology::610: Medicine, HealthTechnology::620: EngineeringA Time-of-flight and radar dataset of a neonatal thorax simulator with synchronized reference sensor signals for respiratory rate detectionData Paper10.15480/882.966210.1038/s41597-024-02946-510.15480/882.9662Data Paper