Sensor model by Breton (2008)

This model implements the sensor characteristics described in [1]. It creates a sequence of random values with an interval of 15 minutes, smoothly interpolates the connecting lines between theses values, and superposes the true glucose concentration with the resulting sensor error.

Parameters

  •  PACF: Partial autocorrelation function coefficient. In the paper, it is fixed to 0.7, but it can be adapted to obtain different noise profiles.
  • alpha: Relative error.
  • beta: Constant offset.

Source code

https://github.com/hpeuscher/loopinsight1/blob/master/src/core/sensors/Breton2008.ts

References

[1] Breton, M.; Kovatchev, B.: Analysis, Modeling, and Simulation of the Accuracy of Continuous Glucose Sensors. Journal of Diabetes Science and Technology, Volume 2, Issue 5, 2008