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Algorithms  2011 

Quantification of the Variability of Continuous Glucose Monitoring Data

DOI: 10.3390/a4010016

Keywords: diabetes, glucose management, wavelet, piecewise linear approximation, clustering algorithm, Laplacian Eigenmap

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Abstract:

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.

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