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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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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. |
format | Online Article Text |
id | pubmed-3231130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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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