Numerical simulation of the effect of rate of change of glucose on measurement error of continuous glucose monitors

scientific article published on September 2007

Numerical simulation of the effect of rate of change of glucose on measurement error of continuous glucose monitors is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1177/193229680700100512
P932PMC publication ID2769653
P698PubMed publication ID19885136
P5875ResearchGate publication ID38063200

P2093author name stringMarc B Taub
Thomas A Peyser
J Erik Rosenquist
P2860cites workLimitations of conventional methods of self-monitoring of blood glucose: lessons learned from 3 days of continuous glucose sensing in pediatric patients with type 1 diabetesQ43778825
A continuous glucose sensor based on wired enzyme technology -- results from a 3-day trial in patients with type 1 diabetesQ44665859
Accuracy of the 5-day FreeStyle Navigator Continuous Glucose Monitoring System: comparison with frequent laboratory reference measurementsQ44800549
Rates of glucose change measured by blood glucose meter and the GlucoWatch Biographer during day, night, and around mealtimes.Q45034106
FreeStyle: a small-volume electrochemical glucose sensor for home blood glucose testingQ46523994
Dynamic delay and maximal dynamic error in continuous biosensorsQ46912231
Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes.Q51500191
The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research GroupQ27861088
Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical applicationQ30439099
Reconstructing by deconvolution plasma glucose from continuous glucose monitoring sensor data.Q31133591
Accuracy of newer-generation home blood glucose meters in a Diabetes Research in Children Network (DirecNet) inpatient exercise studyQ34314316
Can interstitial glucose assessment replace blood glucose measurements?Q34316031
The economic burden of diabetes and the benefits of improved glycemic control: the potential role of a continuous glucose monitoring systemQ34317300
Hypoglycaemia: the limiting factor in the glycaemic management of Type I and Type II diabetesQ34756826
Hypoglycemia Warning Signal and Glucose Sensors: Requirements and ConceptsQ35544390
Continuous Glucose Monitoring with Glucose Sensors: Calibration and Assessment CriteriaQ35544394
Glucose sensors: toward closed loop insulin deliveryQ35725833
Continuous glucose monitoring: roadmap for 21st century diabetes therapyQ36108412
Should minimal blood glucose variability become the gold standard of glycemic control?Q36113305
A review of continuous glucose monitoring technologyQ36293404
Continuous glucose monitoring and closed-loop systemsQ36367034
Subcutaneous glucose predicts plasma glucose independent of insulin: implications for continuous monitoringQ39517601
Glycemic characteristics in continuously monitored patients with type 1 and type 2 diabetes: normative valuesQ40385870
Interstitial fluid glucose dynamics during insulin-induced hypoglycaemiaQ42480892
P433issue5
P921main subjectglycobiologyQ899224
glucoseQ37525
numerical simulationQ122802790
P304page(s)685-694
P577publication date2007-09-01
P1433published inJournal of Diabetes Science and TechnologyQ15755249
P1476titleNumerical simulation of the effect of rate of change of glucose on measurement error of continuous glucose monitors
P478volume1

Reverse relations

cites work (P2860)
Q93366254A head-to-head comparison of personal and professional continuous glucose monitoring systems in people with type 1 diabetes: Hypoglycaemia remains the weak spot
Q35966822Continuous glucose monitoring: a review for behavioral researchers

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