Search results for "Calibration algorithm"

showing 2 items of 2 documents

A Multiple Local Models Approach to Accuracy Improvement in Continuous Glucose Monitoring

2011

Continuous glucose monitoring (CGM) devices estimate plasma glucose (PG) from measurements in compartments alternative to blood. The accuracy of currently available CGM is yet unsatisfactory and may depend on the implemented calibration algorithms, which do not compensate adequately for the differences of glucose dynamics between the compartments. Here we propose and validate an innovative calibration algorithm for the improvement of CGM performance.CGM data from GlucoDay(®) (A. Menarini, Florence, Italy) and paired reference PG have been obtained from eight subjects without diabetes during eu-, hypo-, and hyperglycemic hyperinsulinemic clamps. A calibration algorithm based on a dynamic glo…

Blood Glucosemedicine.medical_specialtyCalibration (statistics)Endocrinology Diabetes and MetabolismMonitoring Ambulatory030209 endocrinology & metabolismBiosensing TechniquesAccuracy improvementSensitivity and Specificity01 natural sciencesGlobal model03 medical and health sciences0302 clinical medicineEndocrinologyInternal medicineBlood Glucose Self-MonitoringDiabetes MellitusmedicineHumansGlucose dynamicsPlasma glucoseContinuous glucose monitoringbusiness.industryBlood Glucose Self-Monitoring010401 analytical chemistryReproducibility of ResultsPattern recognition0104 chemical sciencesMedical Laboratory TechnologyEndocrinologyCalibration algorithmArtificial intelligencebusinessAlgorithmsDiabetes Technology & Therapeutics
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Evaluation of an Algorithm for Retrospective Hypoglycemia Detection Using Professional Continuous Glucose Monitoring Data.

2014

Background: People with type 1 diabetes (T1D) are unable to produce insulin and thus rely on exogenous supply to lower their blood glucose. Studies have shown that intensive insulin therapy reduces the risk of late-diabetic complications by lowering average blood glucose. However, the therapy leads to increased incidence of hypoglycemia. Although inaccurate, professional continuous glucose monitoring (PCGM) can be used to identify hypoglycemic events, which can be useful for adjusting glucose-regulating factors. New pattern classification approaches based on identifying hypoglycemic events through retrospective analysis of PCGM data have shown promising results. The aim of this study was to…

Type 1 diabetesbusiness.industryContinuous glucose monitoringEndocrinology Diabetes and MetabolismInsulinmedicine.medical_treatmentBiomedical EngineeringBioengineeringOriginal ArticlesHypoglycemiamedicine.diseaseDiabetes mellitusInternal MedicinemedicineRetrospective analysisFalse positive paradoxCalibration algorithmbusinessAlgorithmJournal of diabetes science and technology
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