Laser spectroscopic method for remote sensing of respiratory rate.
Laser
Neonate
Remote sensing
Respiratory rate
Spectrometer
Journal
Physical and engineering sciences in medicine
ISSN: 2662-4737
Titre abrégé: Phys Eng Sci Med
Pays: Switzerland
ID NLM: 101760671
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
received:
10
02
2023
accepted:
16
06
2023
medline:
7
9
2023
pubmed:
26
6
2023
entrez:
26
6
2023
Statut:
ppublish
Résumé
Noncontact sensing methods for measuring vital signs have recently gained interest, particularly for long-term monitoring. This study introduces a new method for measuring respiratory rate remotely. The proposed method is based on the reflection of a laser beam off a striped card attached to a moving platform simulating chest wall displacements. A wide range of frequencies (n = 35) from 0.06 to 2.2 Hz corresponding to both normal and pathological human respiratory rates were simulated using a moving mechanical platform. Reflected spectra (n = 105) were collected by a spectrometer in a dynamic mode. Fourier analysis was performed to retrieve the breathing frequency. The results show a striking agreement between measurements and reference frequencies. The results also show that low frequencies corresponding to respiratory rates can be detected with high accuracy (uncertainty is well below 5%). A validation test of the measuring method on a human subject demonstrated a great potential for remote respiration rate monitoring of adults and neonates in a clinical environment.
Identifiants
pubmed: 37358781
doi: 10.1007/s13246-023-01292-x
pii: 10.1007/s13246-023-01292-x
pmc: PMC10480269
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1249-1258Subventions
Organisme : Damascus University
ID : Damascus University
Organisme : Politechnika Warszawska
ID : Politechnika Warszawska
Informations de copyright
© 2023. The Author(s).
Références
Sensors (Basel). 2021 Oct 09;21(20):
pubmed: 34695911
Physiol Meas. 2019 Aug 02;40(7):07TR01
pubmed: 31195383
Sensors (Basel). 2020 Sep 12;20(18):
pubmed: 32932671
Physiol Meas. 2019 Apr 26;40(4):045003
pubmed: 30943451
Am J Infect Control. 2018 Aug;46(8):949-951
pubmed: 29525368
Respir Care. 2011 Apr;56(4):503-9
pubmed: 21255512
Lancet. 2011 Mar 19;377(9770):1011-8
pubmed: 21411136
Front Physiol. 2022 Mar 09;13:799621
pubmed: 35356082
Sensors (Basel). 2021 Apr 23;21(9):
pubmed: 33922563
Eur Respir J. 1997 Aug;10(8):1865-9
pubmed: 9272932
Rev Sci Instrum. 2013 Dec;84(12):121705
pubmed: 24387410
IEEE J Biomed Health Inform. 2017 May;21(3):764-777
pubmed: 26915142
Biomed Signal Process Control. 2021 Mar 1;65:102339
pubmed: 34168684
Ann Noninvasive Electrocardiol. 2021 Sep;26(5):e12885
pubmed: 34405488
Comput Med Imaging Graph. 2018 Dec;70:17-28
pubmed: 30273831
Br J Nurs. 2019 Apr 25;28(8):504-508
pubmed: 31002547
PLoS One. 2018 Feb 23;13(2):e0192789
pubmed: 29474502
Sensors (Basel). 2020 Sep 07;20(18):
pubmed: 32906804
Biosensors (Basel). 2021 Apr 16;11(4):
pubmed: 33923469
Front Physiol. 2022 Oct 11;13:955208
pubmed: 36304581
Pediatr Res. 2019 Mar;85(4):494-501
pubmed: 30679791