Clinical assessment and mathematical modeling of the accuracy of Continuous Glucose Sensors (CGS)

Boris P. Kovatchev; Christopher King; Marc Breton; Stacey Anderson

doi:10.1109/IEMBS.2006.260114

Clinical assessment and mathematical modeling of the accuracy of Continuous Glucose Sensors (CGS)

Boris P. Kovatchev, Christopher King, Marc Breton, Stacey Anderson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

In the treatment of diabetes, CGS calibration, time lag, and random errors influence the clinical glucose control decisions based on CGS output. These inaccuracies are determined by three main factors: quality of calibration, physiology, and sensor engineering. Simulated re-calibration and a diffusion model of blood-to-interstitial glucose transport allow the separation of these sources of inaccuracy. The methods are illustrated by data for 39 subjects with Type 1 diabetes collected during hyperinsulinemic euglycemic/hypoglycemic clamp by Minimed CGMS™ (Medtronic, Northridge, CA). The continuous glucose error-grid analysis (CG-EGA) was used to evaluate sensor inaccuracy from a clinical point of view.

Original language	English
Title of host publication	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages	71-74
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2006.260114
State	Published - 2006
Event	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: Aug 30 2006 → Sep 3 2006

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)	0589-1019

Conference

Conference	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/Territory	United States
City	New York, NY
Period	08/30/06 → 09/3/06

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10.1109/IEMBS.2006.260114

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Kovatchev, B. P., King, C., Breton, M., & Anderson, S. (2006). Clinical assessment and mathematical modeling of the accuracy of Continuous Glucose Sensors (CGS). In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 71-74). [4029001] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2006.260114

Kovatchev, Boris P. ; King, Christopher ; Breton, Marc et al. / Clinical assessment and mathematical modeling of the accuracy of Continuous Glucose Sensors (CGS). 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. pp. 71-74 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

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title = "Clinical assessment and mathematical modeling of the accuracy of Continuous Glucose Sensors (CGS)",

abstract = "In the treatment of diabetes, CGS calibration, time lag, and random errors influence the clinical glucose control decisions based on CGS output. These inaccuracies are determined by three main factors: quality of calibration, physiology, and sensor engineering. Simulated re-calibration and a diffusion model of blood-to-interstitial glucose transport allow the separation of these sources of inaccuracy. The methods are illustrated by data for 39 subjects with Type 1 diabetes collected during hyperinsulinemic euglycemic/hypoglycemic clamp by Minimed CGMS{\texttrademark} (Medtronic, Northridge, CA). The continuous glucose error-grid analysis (CG-EGA) was used to evaluate sensor inaccuracy from a clinical point of view.",

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Kovatchev, BP, King, C, Breton, M & Anderson, S 2006, Clinical assessment and mathematical modeling of the accuracy of Continuous Glucose Sensors (CGS). in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06., 4029001, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp. 71-74, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 08/30/06. https://doi.org/10.1109/IEMBS.2006.260114

Clinical assessment and mathematical modeling of the accuracy of Continuous Glucose Sensors (CGS). / Kovatchev, Boris P.; King, Christopher; Breton, Marc et al.

28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 71-74 4029001 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In the treatment of diabetes, CGS calibration, time lag, and random errors influence the clinical glucose control decisions based on CGS output. These inaccuracies are determined by three main factors: quality of calibration, physiology, and sensor engineering. Simulated re-calibration and a diffusion model of blood-to-interstitial glucose transport allow the separation of these sources of inaccuracy. The methods are illustrated by data for 39 subjects with Type 1 diabetes collected during hyperinsulinemic euglycemic/hypoglycemic clamp by Minimed CGMS™ (Medtronic, Northridge, CA). The continuous glucose error-grid analysis (CG-EGA) was used to evaluate sensor inaccuracy from a clinical point of view.

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Kovatchev BP, King C, Breton M, Anderson S. Clinical assessment and mathematical modeling of the accuracy of Continuous Glucose Sensors (CGS). In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 71-74. 4029001. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/IEMBS.2006.260114

Clinical assessment and mathematical modeling of the accuracy of Continuous Glucose Sensors (CGS)

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