Quantifying Temporal Glucose Variability in Diabetes via Continuous Glucose Monitoring: Mathematical Methods and Clinical Application

2005195 citationsJournal Article

Authors

Boris Kovatchev · University of Virginia Health System

William L. Clarke · University of Virginia Health System

Marc D. Breton · University of Virginia Health System

Kenneth L. Brayman · University of Virginia Health System

Anthony L. McCall · University of Virginia Health System

Abstract

Advanced analysis and visualization of CGM data allow for evaluation of dynamical characteristics of diabetes and reveal clinical information that is inaccessible via standard statistics, which do not take into account the temporal structure of the data. The use of such methods improves the assessment of patients' glycemic control.

Topics & Keywords

Diabetes Management and Research Pancreatic function and diabetes Diabetes and associated disorders

UN Sustainable Development Goals

Quality Education

Publication Details

Published in: Diabetes Technology & Therapeutics

Volume 7, Issue 6, pp. 849-862

DOI: 10.1089/dia.2005.7.849

Field-Weighted Citation Impact: 5.36