Adaptive system identification for estimating future glucose concentrations and hypoglycemia alarms

@article{ErenOruklu2012AdaptiveSI,
  title={Adaptive system identification for estimating future glucose concentrations and hypoglycemia alarms},
  author={Meriyan Eren-Oruklu and Ali Cinar and Derrick K. Rollins and Lauretta Quinn},
  journal={Automatica : the journal of IFAC, the International Federation of Automatic Control},
  year={2012},
  volume={48 8},
  pages={1892-1897}
}
Many patients with diabetes experience high variability in glucose concentrations that includes prolonged hyperglycemia or hypoglycemia. Models predicting a subject's future glucose concentrations can be used for preventing such conditions by providing early alarms. This paper presents a time-series model that captures dynamical changes in the glucose metabolism. Adaptive system identification is proposed to estimate model parameters which enable the adaptation of the model to inter-/intra… CONTINUE READING
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