Literature DB >> 16241880

A review of continuous glucose monitoring technology.

David C Klonoff1.   

Abstract

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Year:  2005        PMID： 16241880     DOI： 10.1089/dia.2005.7.770

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN： 1520-9156            Impact factor:   6.118


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  26 in total

1.  Evaluating the clinical accuracy of GlucoMen®Day: a novel microdialysis-based continuous glucose monitor.

Authors:  Francesco Valgimigli; Fausto Lucarelli; Cosimo Scuffi; Sara Morandi; Iolanda Sposato
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

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

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

Review 3.  In vitro, in vivo and post explantation testing of glucose-detecting biosensors: current methods and recommendations.

Authors:  Heidi E Koschwanez; William M Reichert
Journal:  Biomaterials       Date:  2007-04-19       Impact factor: 12.479

4.  An analysis: hyperglycemic intensive care patients need continuous glucose monitoring-easier said than done.

Authors:  Brenda G Fahy; Douglas B Coursin
Journal:  J Diabetes Sci Technol       Date:  2008-03

5.  Numerical simulation of the effect of rate of change of glucose on measurement error of continuous glucose monitors.

Authors:  Marc B Taub; Thomas A Peyser; J Erik Rosenquist
Journal:  J Diabetes Sci Technol       Date:  2007-09

6.  TheClinical Research Tool: a high-performance microdialysis-based system for reliably measuring interstitial fluid glucose concentration.

Authors:  Gregor Ocvirk; Martin Hajnsek; Ralph Gillen; Arnfried Guenther; Gernot Hochmuth; Ulrike Kamecke; Karl-Heinz Koelker; Peter Kraemer; Karin Obermaier; Cornelia Reinheimer; Nina Jendrike; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

7.  A novel method to detect pressure-induced sensor attenuations (PISA) in an artificial pancreas.

Authors:  Nihat Baysal; Fraser Cameron; Bruce A Buckingham; Darrell M Wilson; H Peter Chase; David M Maahs; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2014-10-14

8.  Accuracy requirements for a hypoglycemia detector: an analytical model to evaluate the effects of bias, precision, and rate of glucose change.

Authors:  Sharbel E Noujaim; David Horwitz; Manoj Sharma; Joseph Marhoul
Journal:  J Diabetes Sci Technol       Date:  2007-09

9.  Fiber-coupled fluorescence affinity sensor for 3-day in vivo glucose sensing.

Authors:  Ralph Ballerstadt; Colton Evans; Ashok Gowda; Roger McNichols
Journal:  J Diabetes Sci Technol       Date:  2007-05

10.  Telemedicine-based KADIS combined with CGMS has high potential for improving outpatient diabetes care.

Authors:  Eckhard Salzsieder; Petra Augstein; Lutz Vogt; Klaus-Dieter Kohnert; Peter Heinke; Ernst-Joachim Freyse; Abdel Azim Ahmed; Zakia Metwali; Iman Salman; Omer Attef
Journal:  J Diabetes Sci Technol       Date:  2007-07
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