Name
Title | ||
|---|---|---|
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework. |
Abstract | ||
|---|---|---|
Objective: In most continuous glucose monitoring (CGM) devices used for diabetes management, the electrical signal measured by the sensor is transformed to glucose concentration by a calibration function whose parameters are estimated using self-monitoring of blood glucose (SMBG) samples. The calibration function is usually a linear model approximating the nonlinear relationship between electrical... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBME.2017.2706974 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Calibration,Sensors,Sugar,Biomedical measurement,Current measurement,Diabetes,Monitoring | Signal,Blood Glucose Measurement,Linear model,Computer science,Deconvolution,Estimation theory,Prior probability,Statistics,Bayes estimator,Calibration | Journal |
Volume | Issue | ISSN |
65 | 3 | 0018-9294 |
Citations | PageRank | References |
2 | 0.46 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giada Acciaroli | 1 | 2 | 1.82 |
| Martina Vettoretti | 2 | 7 | 3.39 |
| Andrea Facchinetti | 3 | 152 | 28.83 |
| Giovanni Sparacino | 4 | 276 | 52.52 |
| Claudio Cobelli | 5 | 658 | 113.31 |