| CPC G06F 30/27 (2020.01) [G16H 10/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01)] | 20 Claims |
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1. A system comprising:
memory configured to store a plurality of machine learning models, wherein each machine learning model of the plurality of machine learning models is trained using training data comprising clinical data on glucose sensitivity; and
one or more processors configured to:
partition an input signal feature space into a plurality of contiguous subspaces, the input signal feature space relating glucose sensitivity and a sensor electrical property associated with a glucose sensor device, each subspace of the plurality of contiguous subspaces associated with a respective glucose sensitivity behavior of the glucose sensor device that is modeled by a respective machine learning model in the plurality of machine learning models;
receive sensor data relating to the sensor electrical property;
input the sensor data into a machine learning model of the plurality of machine learning models, wherein the machine learning model is selected from the plurality of machine learning models based on the sensor data and a respective range of values associated with the sensor electrical property for each subspace of the plurality of contiguous subspaces;
receive an output from the machine learning model indicating the glucose sensitivity of the glucose sensor device;
determine a glucose level based on the sensor data and the glucose sensitivity; and
control delivery of insulin by an insulin delivery device based on the determined glucose level.
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