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

Abstract readDataset

In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

A Time-of-Flight and Radar Dataset of a neonatal Thorax Simulator with synchronized Reference Sensor Signals for respiratory Rate Detection.Scientific data · 2024
Article

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Johanna GleichaufNuremberg Institute of Technology, Department of Electrical Engineering, Precision Engineering and Information Technology, Nuremberg, 90489, Germany. johanna.gleichauf@th-nuernberg.de.ORCID 0000-0002-2702-1077

Sven HerrmannNuremberg Institute of Technology, Department of Electrical Engineering, Precision Engineering and Information Technology, Nuremberg, 90489, Germany.ORCID 0000-0002-0507-6923

Christine NieblerNuremberg Institute of Technology, Department of Electrical Engineering, Precision Engineering and Information Technology, Nuremberg, 90489, Germany.

Alexander KoelpinHamburg University of Technology, Institute of High-Frequency Technology, Hamburg, 21073, Germany.

Funding

Bundesministerium f&amp;#x00FC;r Bildung und Forschung (Federal Ministry of Education and Research) 13FH546IX6

6 · The paper itself

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.

Indexed as

Respiratory RateAlgorithmsHumansInfant, NewbornRadarRespirationThorax

Identifiers

PMID38263366

DOI10.1038/s41597-024-02946-5

PMCPMC10805796

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.