Quantification of the Variability of Continuous Glucose Monitoring Data

Quantification of the Variability of Continuous Glucose Monitoring Data

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 empha...

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Bibliographic Details
Main Authors: Edward Aboufadel, Robert Castellano, Derek Olson
Format: Article
Language:English
Published: MDPI AG 2011-02-01
Series:Algorithms
Subjects:
diabetes
glucose management
wavelet
piecewise linear approximation
clustering algorithm
Laplacian Eigenmap
Online Access:http://www.mdpi.com/1999-4893/4/1/16/
Description
Summary: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.
ISSN:1999-4893

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