Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10345537 | Computer Methods and Programs in Biomedicine | 2014 | 8 Pages |
Abstract
The results of the study show that timing errors in isolation have little clinically significant impact on identified SI level or variability. The clinical impact of changes to SI level induced by combined sensor and timing errors is likely to be significant during glycaemic control. Identified values of SI were mostly (90th percentile) within 29% of the true value when influenced by both sources of error. However, these effects may be overshadowed by physiological factors arising from the critical condition of the patients or other under-modelled or un-modelled dynamics. Thus, glycaemic control protocols that are designed to work with data from glucometers need to be robust to these errors and not be too aggressive in dosing insulin.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Christopher G. Pretty, Matthew Signal, Liam Fisk, Sophie Penning, Aaron Le Compte, Geoffrey M. Shaw, Thomas Desaive, J. Geoffrey Chase,