Literature DB >> 18690899

Continuous glucose monitoring time series and hypo/hyperglycemia prevention: requirements, methods, open problems.

Giovanni Sparacino1, Andrea Facchinetti, Alberto Maran, Claudio Cobelli.   

Abstract

A clinically important task in diabetes management is the prevention of hypo/hyperglycemic events. The availability of continuous glucose monitoring (CGM) devices allow to develop new strategies, but new problems have also emerged. In this contribution, we discuss three major challenges which, in practical real time CGM applications, should be dealt with: filtering to enhance the signal-to-noise ratio, ahead-of-time prediction of glucose concentration, and generation of hypo/hyper-alerts. For all these challenges, some techniques, with a different degree of sophistication, have been proposed recently in the literature, but several issues remain open.

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Year:  2008        PMID: 18690899     DOI: 10.2174/157339908785294361

Source DB:  PubMed          Journal:  Curr Diabetes Rev        ISSN: 1573-3998


  13 in total

1.  Continuous glucose monitoring: real-time algorithms for calibration, filtering, and alarms.

Authors:  B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2010-03-01

2.  Modeling the error of continuous glucose monitoring sensor data: critical aspects discussed through simulation studies.

Authors:  Andrea Facchinetti; Giovanni Sparacino; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2010-01-01

3.  Physical activity measured by physical activity monitoring system correlates with glucose trends reconstructed from continuous glucose monitoring.

Authors:  Chiara Zecchin; Andrea Facchinetti; Giovanni Sparacino; Chiara Dalla Man; Chinmay Manohar; James A Levine; Ananda Basu; Yogish C Kudva; Claudio Cobelli
Journal:  Diabetes Technol Ther       Date:  2013-08-14       Impact factor: 6.118

4.  Characterizing blood glucose variability using new metrics with continuous glucose monitoring data.

Authors:  Cynthia R Marling; Jay H Shubrook; Stanley J Vernier; Matthew T Wiley; Frank L Schwartz
Journal:  J Diabetes Sci Technol       Date:  2011-07-01

5.  First Experiences With a Wearable Multisensor Device in a Noninvasive Continuous Glucose Monitoring Study at Home, Part II: The Investigators' View.

Authors:  Mattia Zanon; Martin Mueller; Pavel Zakharov; Mark S Talary; Marc Donath; Werner A Stahel; Andreas Caduff
Journal:  J Diabetes Sci Technol       Date:  2017-11-16

6.  Exploiting time in electronic health record correlations.

Authors:  George Hripcsak; David J Albers; Adler Perotte
Journal:  J Am Med Inform Assoc       Date:  2011-11-23       Impact factor: 4.497

7.  Hypoglycemia Prevention via Personalized Glucose-Insulin Models Identified in Free-Living Conditions.

Authors:  Chiara Toffanin; Eleonora Maria Aiello; Claudio Cobelli; Lalo Magni
Journal:  J Diabetes Sci Technol       Date:  2019-10-23

8.  Technologies to better serve the millions of diabetic patients: a holistic, interactive and persuasive ICT model to facilitate self care, in extremely poor rural zones of Central America.

Authors:  Miguel Vargas-Lombardo; Armando Jipsion; Rafael Vejarano; Ismael Camargo; Humberto Alvarez; Elena Villalba Mora; Ernestina Menasalva Ruíz
Journal:  J Med Syst       Date:  2010-05-08       Impact factor: 4.460

9.  Diabetes: Models, Signals, and Control.

Authors:  Claudio Cobelli; Chiara Dalla Man; Giovanni Sparacino; Lalo Magni; Giuseppe De Nicolao; Boris P Kovatchev
Journal:  IEEE Rev Biomed Eng       Date:  2009-01-01

Review 10.  Therapeutics of diabetes mellitus: focus on insulin analogues and insulin pumps.

Authors:  Vasiliki Valla
Journal:  Exp Diabetes Res       Date:  2010-05-26
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