A self-referenced optical intensity sensor network using POFBGs for biomedical applications


This work bridges the gap between the remote interrogation of multiple optical sensors and the advantages of using inherently biocompatible low-cost polymer optical fiber (POF)-based photonic sensing. A novel hybrid sensor network combining both silica fiber Bragg gratings (FBG) and polymer FBGs (POFBG) is analyzed. The topology is compatible with WDM networks so multiple remote sensors can be addressed providing high scalability. A central monitoring unit with virtual data processing is implemented, which could be remotely located up to units of km away. The feasibility of the proposed solution for potential medical environments and biomedical applications is shown.

Publication DOI: https://doi.org/10.3390/s141224029
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
Additional Information: 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. Funding: Spanish Ministry of Economía y Competitividad (TEC2012-37983-C03-02); Comunidad de Madrid (S2013/MIT-2790); and ICT COST action TD1001.
Uncontrolled Keywords: biomedical applications,polymer optical fiber Bragg grating (POFBG),self-referenced fiber-optic sensor,WDM network,Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Analytical Chemistry,Biochemistry
Publication ISSN: 1424-8220
Full Text Link: http://www.mdpi ... 220/14/12/24029
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2014-12-12
Authors: Tapetado Moraleda, Alberto
Sánchez Montero, David
Webb, David J. (ORCID Profile 0000-0002-5495-1296)
García, Carmen Vázquez



Version: Accepted Version

License: Creative Commons Attribution

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