POF-based specklegram sensor for continuous patient monitoring

Rodríguez Cobo, Luis; Rodríguez Cuevas, Alberto; Real Peña, Eusebio; López Higuera, José Miguel; Lomer Barboza, Mauro Matías

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Identificadores

URI: http://hdl.handle.net/10902/10913

ISBN: 978-1-85449-408-5

Fecha

2016

Derechos

© The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Publicado en

25th International Conference on Plastic Optical Fibres (POF), Aston University, Birmingham (UK), 2016, 175-178

Editorial

Aston University

Resumen/Abstract

In this work, different schemes to detect vital signs of bedding patients are proposed and experimentally verified. Employing speckle in multimode polymer optical fibers as sensing element, the fiber is placed under the bed linen to collect the small movements provoked by the patient. This kind of sensor takes advantage of the remarkably high sensitivity exhibited by fiber specklegram sensors. Based on a proper sizing of the employed multimode fiber, it can be placed in different locations trying to favour the detection of heart beating or movement. When the patient does not exhibit any conscious movement (e.g. while he is sleeping) its heart rate can be measured.

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© The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Excepto si se señala otra cosa, la licencia del ítem se describe como © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.