Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution

@article{Favero2014ImprovingAA,
  title={Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution},
  author={Simone Del Favero and Andrea Facchinetti and Giovanni Sparacino and Claudio Cobelli},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2014},
  volume={61},
  pages={1044-1053}
}
Frequent and accurate reference measurements of blood-glucose (BG) concentration are key for modeling and for computing outcome metrics in clinical trials but difficult, invasive, and costly to collect. Continuous glucose monitoring (CGM) is a minimally-invasive technology that has the requested temporal resolution to substitute BG references for such a scope, but still lacks of precision and accuracy. In this paper, we propose an algorithm that retrospectively reconstructs a reliable… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS