Evolved fuzzy reasoning model for hypoglycaemic detection

@article{Ling2010EvolvedFR,
  title={Evolved fuzzy reasoning model for hypoglycaemic detection},
  author={Steve Ling and Nuryani and H. T. Nguyen},
  journal={2010 Annual International Conference of the IEEE Engineering in Medicine and Biology},
  year={2010},
  pages={4662-4665}
}
Hypoglycaemia is a serious side effect of insulin therapy in patients with diabetes. We measure physiological parameters (heart rate, corrected QT interval of the electrocardiogram (ECG) signal) continuously to provide early detection of hypoglycemic episodes in Type 1 diabetes mellitus (T1DM) patients. Based on the physiological parameters, an evolved fuzzy reasoning model (FRM) to recognize the presence of hypoglycaemic episodes is developed. To optimize the fuzzy rules and the fuzzy… CONTINUE READING

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