Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lanzola, Giordano, Losiouk, Eleonora, Del Favero, Simone, Facchinetti, Andrea, Galderisi, Alfonso, Quaglini, Silvana, Magni, Lalo, Cobelli, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
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
_version_ 1782487521254440960
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
work_keys_str_mv AT lanzolagiordano remotebloodglucosemonitoringinmhealthscenariosareview
AT losioukeleonora remotebloodglucosemonitoringinmhealthscenariosareview
AT delfaverosimone remotebloodglucosemonitoringinmhealthscenariosareview
AT facchinettiandrea remotebloodglucosemonitoringinmhealthscenariosareview
AT galderisialfonso remotebloodglucosemonitoringinmhealthscenariosareview
AT quaglinisilvana remotebloodglucosemonitoringinmhealthscenariosareview
AT magnilalo remotebloodglucosemonitoringinmhealthscenariosareview
AT cobelliclaudio remotebloodglucosemonitoringinmhealthscenariosareview