Quantification of the Variability of Continuous Glucose Monitoring Data

Algorithms

Edward Aboufadel¹  Robert Castellano² 

[1] Department of Mathematics, Grand Valley State University, Allendale, MI 49401, USA;Department of Mathematics, Stony Brook University, 203 Arnold Ave, West Babylon, NY 11704, USA; E-Mail:

关键词: diabetes;    glucose management;    wavelet;    piecewise linear approximation;    clustering algorithm;    Laplacian Eigenmap;   

DOI  :  10.3390/a4010016

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.