Title :
Clinical Assessment and Mathematical Modeling of the Accuracy of Continuous Glucose Sensors (CGS)
Author :
Kovatchev, B.P. ; King, Candice ; Breton, Marie ; Anderson, S. ; Clarke, W.
Author_Institution :
Univ. of Virginia Sch. of Medicine, Charlottesville, VA
fDate :
Aug. 30 2006-Sept. 3 2006
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 CGMStrade (Medtronic, Northridge, CA). The continuous glucose error-grid analysis (CG-EGA) was used to evaluate sensor inaccuracy from a clinical point of view
Keywords :
biomedical measurement; biosensors; calibration; delays; diseases; error analysis; blood-to-interstitial glucose transport; calibration quality; clinical assessment; clinical glucose control decision; continuous glucose error-grid analysis; continuous glucose sensor accuracy; diabetes treatment; diffusion model; hyperinsulinemic euglycemic-hypoglycemic clamp; mathematical modeling; minimed CGMS; physiology; random errors; sensor engineering; sensor inaccuracy; simulated re-calibration; time lag; type 1 diabetes; Blood; Calibration; Clamps; Diabetes; Insulin; Mathematical model; Physiology; Sampling methods; Sensor phenomena and characterization; Sugar;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260114
