DexCom, Inc.
JOINT STATE ESTIMATION PREDICTION THAT EVALUATES DIFFERENCES IN PREDICTED VS. CORRESPONDING RECEIVED DATA

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Abstract:

Systems and methods are provided for reconciling untrusted data of a subject using trusted data pertaining to the subject. Systems and methods are directed to evaluating differences in predicted data with respect to corresponding received data. Systems and methods estimate metabolic states from a combination of trusted and untrusted metabolic inputs, along with optionally using a personalized mathematical model with parameter optimization. Systems and methods provide for reconciled untrusted inputs with their measured impact of the glycemic signals that is consistent with a metabolic model. Estimation of future metabolic states for decision support and automated insulin dosing is enabled. Replay of scenarios with estimated or reconciled data is also provided.

Status:
Application
Type:

Utility

Filling date:

12 Nov 2020

Issue date:

20 May 2021