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Estimating plasma glucose from interstitial glucose: the issue of calibration algorithms in commercial continuous glucose monitoring devices.
Rossetti, Paolo; Bondia, Jorge; Vehí, Josep; Fanelli, Carmine G.
Afiliação
  • Rossetti P; Instituto Universitario de Automática e Informática Industrial, Universidad Politécnica de Valencia, Camino de Vera, s/n, 46022 Valencia, Spain. prossetti73@gmail.com
Sensors (Basel) ; 10(12): 10936-52, 2010.
Article em En | MEDLINE | ID: mdl-22163505
ABSTRACT
Evaluation of metabolic control of diabetic people has been classically performed measuring glucose concentrations in blood samples. Due to the potential improvement it offers in diabetes care, continuous glucose monitoring (CGM) in the subcutaneous tissue is gaining popularity among both patients and physicians. However, devices for CGM measure glucose concentration in compartments other than blood, usually the interstitial space. This means that CGM need calibration against blood glucose values, and the accuracy of the estimation of blood glucose will also depend on the calibration algorithm. The complexity of the relationship between glucose dynamics in blood and the interstitial space, contrasts with the simplistic approach of calibration algorithms currently implemented in commercial CGM devices, translating in suboptimal accuracy. The present review will analyze the issue of calibration algorithms for CGM, focusing exclusively on the commercially available glucose sensors.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glicemia / Automonitorização da Glicemia / Líquido Extracelular / Equipamentos e Provisões Tipo de estudo: Evaluation_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2010 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glicemia / Automonitorização da Glicemia / Líquido Extracelular / Equipamentos e Provisões Tipo de estudo: Evaluation_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2010 Tipo de documento: Article