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“Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues

The availability of continuous glucose monitoring (CGM) sensors allows development of new strategies for the treatment of diabetes. In particular, from an on-line perspective, CGM sensors can become “smart” by providing them with algorithms able to generate alerts when glucose concentration is predi...

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Detalles Bibliográficos
Autores principales: Sparacino, Giovanni, Facchinetti, Andrea, Cobelli, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231130/
https://www.ncbi.nlm.nih.gov/pubmed/22163574
http://dx.doi.org/10.3390/s100706751
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author Sparacino, Giovanni
Facchinetti, Andrea
Cobelli, Claudio
author_facet Sparacino, Giovanni
Facchinetti, Andrea
Cobelli, Claudio
author_sort Sparacino, Giovanni
collection PubMed
description The availability of continuous glucose monitoring (CGM) sensors allows development of new strategies for the treatment of diabetes. In particular, from an on-line perspective, CGM sensors can become “smart” by providing them with algorithms able to generate alerts when glucose concentration is predicted to exceed the normal range thresholds. To do so, at least four important aspects have to be considered and dealt with on-line. First, the CGM data must be accurately calibrated. Then, CGM data need to be filtered in order to enhance their signal-to-noise ratio (SNR). Thirdly, predictions of future glucose concentration should be generated with suitable modeling methodologies. Finally, generation of alerts should be done by minimizing the risk of detecting false and missing true events. For these four challenges, several techniques, with various degrees of sophistication, have been proposed in the literature and are critically reviewed in this paper.
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spelling pubmed-32311302011-12-07 “Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues Sparacino, Giovanni Facchinetti, Andrea Cobelli, Claudio Sensors (Basel) Review The availability of continuous glucose monitoring (CGM) sensors allows development of new strategies for the treatment of diabetes. In particular, from an on-line perspective, CGM sensors can become “smart” by providing them with algorithms able to generate alerts when glucose concentration is predicted to exceed the normal range thresholds. To do so, at least four important aspects have to be considered and dealt with on-line. First, the CGM data must be accurately calibrated. Then, CGM data need to be filtered in order to enhance their signal-to-noise ratio (SNR). Thirdly, predictions of future glucose concentration should be generated with suitable modeling methodologies. Finally, generation of alerts should be done by minimizing the risk of detecting false and missing true events. For these four challenges, several techniques, with various degrees of sophistication, have been proposed in the literature and are critically reviewed in this paper. Molecular Diversity Preservation International (MDPI) 2010-07-12 /pmc/articles/PMC3231130/ /pubmed/22163574 http://dx.doi.org/10.3390/s100706751 Text en © 2010 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Sparacino, Giovanni
Facchinetti, Andrea
Cobelli, Claudio
“Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues
title “Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues
title_full “Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues
title_fullStr “Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues
title_full_unstemmed “Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues
title_short “Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues
title_sort “smart” continuous glucose monitoring sensors: on-line signal processing issues
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231130/
https://www.ncbi.nlm.nih.gov/pubmed/22163574
http://dx.doi.org/10.3390/s100706751
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