Title
Reading Blood Glucose From Subcutaneous Electric Current By Means Of A Regularization In Variable Reproducing Kernel Hilbert Spaces
Abstract
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
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 Naumova1305.06
Sergei V. Pereverzyev2204.29
Sivananthan Sampath330.69