Literature DB >> 12572659

Frequency characterization of blood glucose dynamics.

David A Gough1, Kenneth Kreutz-Delgado, Troy M Bremer.   

Abstract

Examples of the frequency range of blood glucose dynamics of normal subjects and subjects with diabetes are reported here, based on data from the literature. The frequency band edge was determined from suitable, frequently sampled blood glucose recordings using two methods: frequency domain estimation and signal reconstruction. The respective maximum acceptable sampling intervals, or Nyquist sampling periods (NSP), required to accurately represent blood glucose dynamics were calculated. Preliminary results based on the limited data available in the literature indicate that although blood glucose NSP values are higher in most diabetic subjects, values in some diabetic subjects are indistinguishable from those of normal subjects. High fidelity monitoring sufficient to follow the intrinsic blood glucose dynamics of all diabetic subjects requires a NSP of approximately 10 min, corresponding to a continuous frequency band edge of approximately 1 x 10(-3) Hz. This analysis provides key information for the design of clinical studies that include blood glucose dynamics and for the design of new glucose monitoring systems.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12572659     DOI: 10.1114/1.1535411

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  10 in total

Review 1.  Essential elements of the native glucoregulatory system, which, if appreciated, may help improve the function of glucose controllers in the intensive care unit setting.

Authors:  Leon DeJournett
Journal:  J Diabetes Sci Technol       Date:  2010-01-01

2.  Accuracy and reliability of continuous glucose monitoring systems: a head-to-head comparison.

Authors:  Yoeri M Luijf; Julia K Mader; Werner Doll; Thomas Pieber; Anne Farret; Jerome Place; Eric Renard; Daniela Bruttomesso; Alessio Filippi; Angelo Avogaro; Sabine Arnolds; Carsten Benesch; Lutz Heinemann; J Hans DeVries
Journal:  Diabetes Technol Ther       Date:  2013-05-07       Impact factor: 6.118

3.  Optimum subcutaneous glucose sampling and fourier analysis of continuous glucose monitors.

Authors:  Marc D Breton; Devin P Shields; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2008-05

4.  Multicenter Observational Study of the First-Generation Intravenous Blood Glucose Monitoring System in Hospitalized Patients.

Authors:  Grant V Bochicchio; Brian R Hipszer; Michelle F Magee; Richard M Bergenstal; Anthony P Furnary; Angela M Gulino; Michael J Higgins; Peter C Simpson; Jeffrey I Joseph
Journal:  J Diabetes Sci Technol       Date:  2015-06-01

5.  Exploring the Frequency Domain of Continuous Glucose Monitoring Signals to Improve Characterization of Glucose Variability and of Diabetic Profiles.

Authors:  Giuseppe Fico; Liss Hernández; Jorge Cancela; Miguel María Isabel; Andrea Facchinetti; Chiara Fabris; Rafael Gabriel; Claudio Cobelli; María Teresa Arredondo Waldmeyer
Journal:  J Diabetes Sci Technol       Date:  2017-01-09

6.  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

7.  Function of an implanted tissue glucose sensor for more than 1 year in animals.

Authors:  David A Gough; Lucas S Kumosa; Timothy L Routh; Joe T Lin; Joseph Y Lucisano
Journal:  Sci Transl Med       Date:  2010-07-28       Impact factor: 17.956

8.  Enabling personalized decision support with patient-generated data and attributable components.

Authors:  Elliot G Mitchell; Esteban G Tabak; Matthew E Levine; Lena Mamykina; David J Albers
Journal:  J Biomed Inform       Date:  2020-12-13       Impact factor: 6.317

Review 9.  Continuous glucose control in the ICU: report of a 2013 round table meeting.

Authors:  Jan Wernerman; Thomas Desaive; Simon Finfer; Luc Foubert; Anthony Furnary; Ulrike Holzinger; Roman Hovorka; Jeffrey Joseph; Mikhail Kosiborod; James Krinsley; Dieter Mesotten; Stanley Nasraway; Olav Rooyackers; Marcus J Schultz; Tom Van Herpe; Robert A Vigersky; Jean-Charles Preiser
Journal:  Crit Care       Date:  2014-06-13       Impact factor: 9.097

10.  Point accuracy and reliability of an interstitial continuous glucose-monitoring device in critically ill patients: a prospective study.

Authors:  Roosmarijn T M van Hooijdonk; Jan Hendrik Leopold; Tineke Winters; Jan M Binnekade; Nicole P Juffermans; Janneke Horn; Johan C Fischer; Edmée C van Dongen-Lases; Marcus J Schultz
Journal:  Crit Care       Date:  2015-02-05       Impact factor: 9.097

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.