Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/135859
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Multimode optical fiber specklegram smart bed sensor array
Author: Warren-Smith, S.C.
Kilpatrick, A.D.
Wisal, K.
Nguyen, L.V.
Citation: Journal of Biomedical Optics, 2022; 27(6):067002-1-067002-12
Publisher: Society of Photo-optical Instrumentation Engineers
Issue Date: 2022
ISSN: 1083-3668
1560-2281
Statement of
Responsibility: 
Stephen C. Warren-Smith, Adam D. Kilpatrick, Kabish Wisal, and Linh V. Nguyen
Abstract: Significance: Monitoring the movement and vital signs of patients in hospitals and other healthcare environments is a significant burden on healthcare staff. Early warning systems using smart bed sensors hold promise to relieve this burden and improve patient outcomes.We propose a scalable and cost-effective optical fiber sensor array that can be embedded into a mattress to detect movement, both sensitively and spatially. Aim: Proof-of-concept demonstration that a multimode optical fiber (MMF) specklegram sensor array can be used to detect and image movement on a bed. Approach: Seven MMFs are attached to the upper surface of a mattress such that they cross in a 3 × 4 array. The specklegram output is monitored using a single laser and single camera and movement on the fibers is monitored by calculating a rolling zero-normalized cross-correlation. A 3 × 4 image is formed by comparing the signal at each crossing point between two fibers. Results: The MMF sensor array can detect and image movement on a bed, including getting on and off the bed, rolling on the bed, and breathing. Conclusions: The sensor array shows a high sensitivity to movement, which can be used for monitoring physiological parameters and patient movement for potential applications in healthcare settings.
Keywords: specklegram sensor
multimode optical fiber
optical fiber sensor
sensor array
smart bed
Rights: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. [DOI: 10.1117/1.JBO.27.6.067002]
DOI: 10.1117/1.JBO.27.6.067002
Grant ID: http://purl.org/au-research/grants/arc/FT200100154
http://purl.org/au-research/grants/arc/CE14010003
Published version: http://dx.doi.org/10.1117/1.jbo.27.6.067002
Appears in Collections:IPAS publications

Files in This Item:
File Description SizeFormat 
hdl_135859.pdfPublished version3.02 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.