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Literature DB >> 19885195

Physical activity-the major unaccounted impediment to closed loop control.

Abstract

This article presents a mathematical model of glucose homeostasis that is valid during physical activity. Known changes in glucose dynamics during exercise were accounted for in the model, and exercise itself was detected and quantified through heart rate (beats per minute). The model was successfully fit to 21 type 1 diabetic subjects during a hyperinsulemic clamp protocol, and performance of the new model was compared with the standard minimal model of glucose kinetics that it was derived from.

Entities: Chemical Disease

Keywords: exercise; glucose dynamics; insulin sensitivity; minimal model; physiological modeling

Year: 2008 PMID： 19885195 PMCID： PMC2769710 DOI： 10.1177/193229680800200127

Source DB: PubMed Journal: J Diabetes Sci Technol ISSN： 1932-2968

23 in total

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Journal: Am J Physiol Endocrinol Metab Date: 2002-05 Impact factor: 4.310

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Journal: IEEE Trans Biomed Eng Date: 2007-10 Impact factor: 4.538

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Authors:
Journal: Lancet Date: 1998-09-12 Impact factor: 79.321

20 in total

Review 1. Physical Activity Capture Technology With Potential for Incorporation Into Closed-Loop Control for Type 1 Diabetes.

Authors: Vikash Dadlani; James A Levine; Shelly K McCrady-Spitzer; Eyal Dassau; Yogish C Kudva
Journal: J Diabetes Sci Technol Date: 2015-10-18

2. 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

3. Circadian variability of insulin sensitivity: physiological input for in silico artificial pancreas.

Authors: Roberto Visentin; Chiara Dalla Man; Yogish C Kudva; Ananda Basu; Claudio Cobelli
Journal: Diabetes Technol Ther Date: 2015-01 Impact factor: 6.118

4. Early Detection of Physical Activity for People With Type 1 Diabetes Mellitus.

Authors: Isuru S Dasanayake; Wendy C Bevier; Kristin Castorino; Jordan E Pinsker; Dale E Seborg; Francis J Doyle; Eyal Dassau
Journal: J Diabetes Sci Technol Date: 2015-06-30

5. Quest for the artificial pancreas: combining technology with treatment.

Authors: Rebecca A Harvey; Youqing Wang; Benyamin Grosman; Matthew W Percival; Wendy Bevier; Daniel A Finan; Howard Zisser; Dale E Seborg; Lois Jovanovic; Francis J Doyle; Eyal Dassau
Journal: IEEE Eng Med Biol Mag Date: 2010 Mar-Apr

6. Reducing Glucose Variability Due to Meals and Postprandial Exercise in T1DM Using Switched LPV Control: In Silico Studies.

Authors: Patricio H Colmegna; Ricardo S Sánchez-Peña; Ravi Gondhalekar; Eyal Dassau; Francis J Doyle
Journal: J Diabetes Sci Technol Date: 2016-05-03

7. Comparison of physical activity sensors and heart rate monitoring for real-time activity detection in type 1 diabetes and control subjects.

Authors: Chinmay Manohar; Derek T O'Keeffe; Ling Hinshaw; Ravi Lingineni; Shelly K McCrady-Spitzer; James A Levine; Rickey E Carter; Ananda Basu; Yogish C Kudva
Journal: Diabetes Technol Ther Date: 2013-08-12 Impact factor: 6.118

8. Clinical implications and economic impact of accuracy differences among commercially available blood glucose monitoring systems.

Authors: Erwin S Budiman; Navendu Samant; Ansgar Resch
Journal: J Diabetes Sci Technol Date: 2013-03-01

9. Physical activity into the meal glucose-insulin model of type 1 diabetes: in silico studies.

Authors: Chiara Dalla Man; Marc D Breton; Claudio Cobelli
Journal: J Diabetes Sci Technol Date: 2009-01

10. Challenges and Recent Progress in the Development of a Closed-loop Artificial Pancreas.

Authors: B Wayne Bequette
Journal: Annu Rev Control Date: 2012-12 Impact factor: 6.091