Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/12492
Title: POFBG-embedded cork insole for plantar pressure monitoring
Authors: Vilarinho, Débora 
Theodosiou, Antreas 
Leitão, Cátia 
Leal-Junior, Arnaldo G. 
De Fátima Domingues, Maria 
Kalli, Kyriacos 
André, Paulo 
Antunes, Paulo 
Marques, Carlos 
Major Field of Science: Engineering and Technology
Field Category: Materials Engineering
Keywords: CYTOP;Gait plantar pressure;Insole fiber bragg gratings network;Optical fiber sensors;Physical rehabilitation;Polymer optical fiber
Issue Date: 16-Dec-2017
Source: Sensors, 2017, vol. 17, no. 12
Volume: 17
Issue: 12
Journal: Sensors 
Abstract: We propose a novel polymer optical fiber (POF) sensing system based on fiber Bragg gratings (FBGs) to measure foot plantar pressure. The plantar pressure signals are detected by five FBGs, in the same piece of cyclic transparent optical polymer (CYTOP) fiber, which are embedded in a cork insole for the dynamic monitoring of gait. The calibration and measurements performed with the suggested system are presented, and the results obtained demonstrate the accuracy and reliability of the sensing platform to monitor the foot plantar pressure distribution during gait motion and the application of pressure. This architecture does not compromise the patient’s mobility nor interfere in their daily activities. The results using the CYTOP fiber showed a very good response when compared with solutions using silica optical fibers, resulting in a sensitivity almost twice as high, with excellent repeatability and ease of handling. The advantages of POF (e.g., high flexibility and robustness) proved that this is a viable solution for this type of application, since POF’s high fracture toughness enables its application in monitoring patients with higher body mass compared with similar systems based on silica fiber. This study has demonstrated the viability of the proposed system based on POF technology as a useful alternative for plantar pressure detection systems.
ISSN: 14248220
DOI: 10.3390/s17122924
Rights: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Type: Article
Affiliation : University of Aveiro 
Cyprus University of Technology 
Instituto de Telecomunicações 
Federal University of Espirito Santo 
Centro de Automática y Robótica 
University of Lisbon 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

Files in This Item:
File Description SizeFormat
sensors-17-02924.pdfFulltext2.9 MBAdobe PDFView/Open
CORE Recommender
Show full item record

SCOPUSTM   
Citations

66
checked on Nov 6, 2023

WEB OF SCIENCETM
Citations 50

58
Last Week
0
Last month
1
checked on Oct 29, 2023

Page view(s) 50

412
Last Week
0
Last month
1
checked on Dec 22, 2024

Download(s)

122
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric


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