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Remote Blood Glucose Monitoring in mHealth Scenarios: A Review
Glucose concentration in the blood stream is a critical vital parameter and an effective monitoring of this quantity is crucial for diabetes treatment and intensive care management. Effective bio-sensing technology and advanced signal processing are therefore of unquestioned importance for blood glu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190964/ https://www.ncbi.nlm.nih.gov/pubmed/27886122 http://dx.doi.org/10.3390/s16121983 |
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author | Lanzola, Giordano Losiouk, Eleonora Del Favero, Simone Facchinetti, Andrea Galderisi, Alfonso Quaglini, Silvana Magni, Lalo Cobelli, Claudio |
author_facet | Lanzola, Giordano Losiouk, Eleonora Del Favero, Simone Facchinetti, Andrea Galderisi, Alfonso Quaglini, Silvana Magni, Lalo Cobelli, Claudio |
author_sort | Lanzola, Giordano |
collection | PubMed |
description | Glucose concentration in the blood stream is a critical vital parameter and an effective monitoring of this quantity is crucial for diabetes treatment and intensive care management. Effective bio-sensing technology and advanced signal processing are therefore of unquestioned importance for blood glucose monitoring. Nevertheless, collecting measurements only represents part of the process as another critical task involves delivering the collected measures to the treating specialists and caregivers. These include the clinical staff, the patient’s significant other, his/her family members, and many other actors helping with the patient treatment that may be located far away from him/her. In all of these cases, a remote monitoring system, in charge of delivering the relevant information to the right player, becomes an important part of the sensing architecture. In this paper, we review how the remote monitoring architectures have evolved over time, paralleling the progress in the Information and Communication Technologies, and describe our experiences with the design of telemedicine systems for blood glucose monitoring in three medical applications. The paper ends summarizing the lessons learned through the experiences of the authors and discussing the challenges arising from a large-scale integration of sensors and actuators. |
format | Online Article Text |
id | pubmed-5190964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-51909642017-01-03 Remote Blood Glucose Monitoring in mHealth Scenarios: A Review Lanzola, Giordano Losiouk, Eleonora Del Favero, Simone Facchinetti, Andrea Galderisi, Alfonso Quaglini, Silvana Magni, Lalo Cobelli, Claudio Sensors (Basel) Article Glucose concentration in the blood stream is a critical vital parameter and an effective monitoring of this quantity is crucial for diabetes treatment and intensive care management. Effective bio-sensing technology and advanced signal processing are therefore of unquestioned importance for blood glucose monitoring. Nevertheless, collecting measurements only represents part of the process as another critical task involves delivering the collected measures to the treating specialists and caregivers. These include the clinical staff, the patient’s significant other, his/her family members, and many other actors helping with the patient treatment that may be located far away from him/her. In all of these cases, a remote monitoring system, in charge of delivering the relevant information to the right player, becomes an important part of the sensing architecture. In this paper, we review how the remote monitoring architectures have evolved over time, paralleling the progress in the Information and Communication Technologies, and describe our experiences with the design of telemedicine systems for blood glucose monitoring in three medical applications. The paper ends summarizing the lessons learned through the experiences of the authors and discussing the challenges arising from a large-scale integration of sensors and actuators. MDPI 2016-11-24 /pmc/articles/PMC5190964/ /pubmed/27886122 http://dx.doi.org/10.3390/s16121983 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lanzola, Giordano Losiouk, Eleonora Del Favero, Simone Facchinetti, Andrea Galderisi, Alfonso Quaglini, Silvana Magni, Lalo Cobelli, Claudio Remote Blood Glucose Monitoring in mHealth Scenarios: A Review |
title | Remote Blood Glucose Monitoring in mHealth Scenarios: A Review |
title_full | Remote Blood Glucose Monitoring in mHealth Scenarios: A Review |
title_fullStr | Remote Blood Glucose Monitoring in mHealth Scenarios: A Review |
title_full_unstemmed | Remote Blood Glucose Monitoring in mHealth Scenarios: A Review |
title_short | Remote Blood Glucose Monitoring in mHealth Scenarios: A Review |
title_sort | remote blood glucose monitoring in mhealth scenarios: a review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190964/ https://www.ncbi.nlm.nih.gov/pubmed/27886122 http://dx.doi.org/10.3390/s16121983 |
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