%0 Journal Article
%T Quantification of the Variability of Continuous Glucose Monitoring Data
%A Edward Aboufadel
%A Robert Castellano
%A Derek Olson
%J Algorithms
%D 2011
%I MDPI AG
%R 10.3390/a4010016
%X Several measurements are used to describe the behavior of a diabetic patient¡¯s blood glucose. We describe a new, wavelet-based algorithm that indicates a new measurement called a PLA index could be used to quantify the variability or predictability of blood glucose. This wavelet-based approach emphasizes the shape of a blood glucose graph. Using continuous glucose monitors (CGMs), this measurement could become a new tool to classify patients based on their blood glucose behavior and may become a new method in the management of diabetes.
%K diabetes
%K glucose management
%K wavelet
%K piecewise linear approximation
%K clustering algorithm
%K Laplacian Eigenmap
%U http://www.mdpi.com/1999-4893/4/1/16