PMID- 38263366
OWN - NLM
STAT- MEDLINE
DCOM- 20240125
LR  - 20240126
IS  - 2052-4463 (Electronic)
IS  - 2052-4463 (Linking)
VI  - 11
IP  - 1
DP  - 2024 Jan 23
TI  - A Time-of-Flight and Radar Dataset of a neonatal Thorax Simulator with 
      synchronized Reference Sensor Signals for respiratory Rate Detection.
PG  - 110
LID - 10.1038/s41597-024-02946-5 [doi]
LID - 110
AB  - 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.
CI  - (c) 2024. The Author(s).
FAU - Gleichauf, Johanna
AU  - Gleichauf J
AUID- ORCID: 0000-0002-2702-1077
AD  - Nuremberg Institute of Technology, Department of Electrical Engineering, 
      Precision Engineering and Information Technology, Nuremberg, 90489, Germany. 
      johanna.gleichauf@th-nuernberg.de.
FAU - Herrmann, Sven
AU  - Herrmann S
AUID- ORCID: 0000-0002-0507-6923
AD  - Nuremberg Institute of Technology, Department of Electrical Engineering, 
      Precision Engineering and Information Technology, Nuremberg, 90489, Germany.
FAU - Niebler, Christine
AU  - Niebler C
AD  - Nuremberg Institute of Technology, Department of Electrical Engineering, 
      Precision Engineering and Information Technology, Nuremberg, 90489, Germany.
FAU - Koelpin, Alexander
AU  - Koelpin A
AD  - Hamburg University of Technology, Institute of High-Frequency Technology, 
      Hamburg, 21073, Germany.
LA  - eng
GR  - 13FH546IX6/Bundesministerium für Bildung und Forschung (Federal 
      Ministry of Education and Research)/
GR  - 13FH546IX6/Bundesministerium für Bildung und Forschung (Federal 
      Ministry of Education and Research)/
GR  - 13FH546IX6/Bundesministerium für Bildung und Forschung (Federal 
      Ministry of Education and Research)/
PT  - Dataset
PT  - Journal Article
DEP - 20240123
PL  - England
TA  - Sci Data
JT  - Scientific data
JID - 101640192
SB  - IM
MH  - Humans
MH  - Infant, Newborn
MH  - Algorithms
MH  - Radar
MH  - Respiration
MH  - *Respiratory Rate
MH  - Thorax
PMC - PMC10805796
COIS- The authors declare no competing interests.
EDAT- 2024/01/24 00:42
MHDA- 2024/01/25 06:43
PMCR- 2024/01/23
CRDT- 2024/01/23 23:56
PHST- 2023/10/19 00:00 [received]
PHST- 2024/01/10 00:00 [accepted]
PHST- 2024/01/25 06:43 [medline]
PHST- 2024/01/24 00:42 [pubmed]
PHST- 2024/01/23 23:56 [entrez]
PHST- 2024/01/23 00:00 [pmc-release]
AID - 10.1038/s41597-024-02946-5 [pii]
AID - 2946 [pii]
AID - 10.1038/s41597-024-02946-5 [doi]
PST - epublish
SO  - Sci Data. 2024 Jan 23;11(1):110. doi: 10.1038/s41597-024-02946-5.