Glucose Prediction Algorithms from Continuous Monitoring Data: Assessment of Accuracy via Continuous Glucose Error-Grid Analysis
نویسندگان
چکیده
منابع مشابه
Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data.
OBJECTIVE The objective of this study was to introduce continuous glucose-error grid analysis (CG-EGA) as a method of evaluating the accuracy of continuous glucose-monitoring sensors in terms of both accurate blood glucose (BG) values and accurate direction and rate of BG fluctuations and to illustrate the application of CG-EGA with data from the TheraSense Freestyle Navigator. RESEARCH DESIG...
متن کاملEvaluating the clinical accuracy of two continuous glucose sensors using continuous glucose-error grid analysis.
OBJECTIVE To compare the clinical accuracy of two different continuous glucose sensors (CGS) during euglycemia and hypoglycemia using continuous glucose-error grid analysis (CG-EGA). RESEARCH DESIGN AND METHODS FreeStyle Navigator (Abbott Laboratories, Alameda, CA) and MiniMed CGMS (Medtronic, Northridge, CA) CGSs were applied to the abdomens of 16 type 1 diabetic subjects (age 42 +/- 3 years...
متن کاملA critical appraisal of the continuous glucose-error grid analysis.
OBJECTIVE There is no consensus on how to optimally assess the accuracy of continuous glucose sensors. We examined the continuous glucose-error grid analysis (CG-EGA) and compared it with classical accuracy assessment methods, using data from a previously reported study comparing two different continuous glucose sensors in type 1 diabetic patients. RESEARCH DESIGN AND METHODS Drift, delay, me...
متن کاملReal-Time Improvement of Continuous Glucose Monitoring Accuracy
OBJECTIVE Reliability of continuous glucose monitoring (CGM) sensors is key in several applications. In this work we demonstrate that real-time algorithms can render CGM sensors smarter by reducing their uncertainty and inaccuracy and improving their ability to alert for hypo- and hyperglycemic events. RESEARCH DESIGN AND METHODS The smart CGM (sCGM) sensor concept consists of a commercial CG...
متن کاملAccuracy of a new real-time continuous glucose monitoring algorithm.
BACKGROUND Through minimally invasive sensor-based continuous glucose monitoring (CGM), individuals can manage their blood glucose (BG) levels more aggressively, thereby improving their hemoglobin A1c level, while reducing the risk of hypoglycemia. Tighter glycemic control through CGM, however, requires an accurate glucose sensor and calibration algorithm with increased performance at lower BG ...
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ژورنال
عنوان ژورنال: Journal of Diabetes Science and Technology
سال: 2007
ISSN: 1932-2968,1932-2968
DOI: 10.1177/193229680700100508