Name
Abstract | ||
|---|---|---|
The problem of online calibration and recalibration of continuous glucose monitoring (CGM) devices is considered. Two different parametric relations between interstitial and blood glucose are investigated and constructive algorithms to adaptively estimate the parameters within those relations are proposed. One characteristic is the explicit consideration of measurement uncertainty of the device used to collect the calibration measurements. Another feature is the automatic detection of fingerstick measurements which are not suitable to be used for calibration. Since the methods rely on the solution of linear matrix inequalities resulting in convex optimization problems, the algorithms are of moderate computational complexity and could be implemented on a CGM device. The methods were assessed on clinical data from 17 diabetic patients and the improvements with respect to the current state of the art is shown. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/JBHI.2014.2341703 | IEEE journal of biomedical and health informatics |
Keywords | Field | DocType |
optimization,sensors,calibration,time measurement | Computer science,Matrix (mathematics),Artificial intelligence,Glucose Measurement,Mathematical optimization,Pattern recognition,Algorithm,Measurement uncertainty,Fingerstick,Parametric statistics,Convex optimization,Calibration,Computational complexity theory | Journal |
Volume | Issue | ISSN |
PP | 99 | 2168-2208 |
Citations | PageRank | References |
2 | 0.43 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harald Kirchsteiger | 1 | 33 | 5.62 |
| luca zaccarian | 2 | 18 | 4.64 |
| Eric Renard | 3 | 22 | 2.83 |
| del Re, L. | 4 | 52 | 13.29 |