Title | ||
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Reading Blood Glucose From Subcutaneous Electric Current By Means Of A Regularization In Variable Reproducing Kernel Hilbert Spaces |
Abstract | ||
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In this paper we propose an adaptive kernel regularization algorithm for blood glucose reading from subcutaneous electric current. We illustrate the proposed algorithm with clinical data and quantify its clinical accuracy by means of the Clarke error grid analysis (EGA) and by the number of detected hypoglycemic events. We show that the proposed algorithm provides more accurate blood glucose reading than a commercially available system. |
Year | DOI | Venue |
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2011 | 10.1109/CDC.2011.6160687 | 2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC) |
Keywords | Field | DocType |
navigation,accuracy,reproducing kernel hilbert space,kernel,current | Kernel (linear algebra),Hilbert space,Mathematical optimization,Adaptive kernel,Computer science,Regularization (mathematics),Grid,Electric current | Conference |
ISSN | Citations | PageRank |
0743-1546 | 3 | 0.69 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
V Naumova | 1 | 30 | 5.06 |
Sergei V. Pereverzyev | 2 | 20 | 4.29 |
Sivananthan Sampath | 3 | 3 | 0.69 |