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/
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spelling doaj-65705ef8cf9a463a8253088ad0e4df6e2020-11-24T21:11:25ZengMDPI AGAlgorithms1999-48932011-02-0141162710.3390/a4010016Quantification of the Variability of Continuous Glucose Monitoring DataEdward AboufadelRobert CastellanoDerek OlsonSeveral 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. http://www.mdpi.com/1999-4893/4/1/16/diabetesglucose managementwaveletpiecewise linear approximationclustering algorithmLaplacian Eigenmap
collection DOAJ
language English
format Article
sources DOAJ
author Edward Aboufadel
Robert Castellano
Derek Olson
spellingShingle Edward Aboufadel
Robert Castellano
Derek Olson
Quantification of the Variability of Continuous Glucose Monitoring Data
Algorithms
diabetes
glucose management
wavelet
piecewise linear approximation
clustering algorithm
Laplacian Eigenmap
author_facet Edward Aboufadel
Robert Castellano
Derek Olson
author_sort Edward Aboufadel
title Quantification of the Variability of Continuous Glucose Monitoring Data
title_short Quantification of the Variability of Continuous Glucose Monitoring Data
title_full Quantification of the Variability of Continuous Glucose Monitoring Data
title_fullStr Quantification of the Variability of Continuous Glucose Monitoring Data
title_full_unstemmed Quantification of the Variability of Continuous Glucose Monitoring Data
title_sort quantification of the variability of continuous glucose monitoring data
publisher MDPI AG
series Algorithms
issn 1999-4893
publishDate 2011-02-01
description 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.
topic diabetes
glucose management
wavelet
piecewise linear approximation
clustering algorithm
Laplacian Eigenmap
url http://www.mdpi.com/1999-4893/4/1/16/
work_keys_str_mv AT edwardaboufadel quantificationofthevariabilityofcontinuousglucosemonitoringdata
AT robertcastellano quantificationofthevariabilityofcontinuousglucosemonitoringdata
AT derekolson quantificationofthevariabilityofcontinuousglucosemonitoringdata
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