Calculation engine based on histograms

A method for processing sensor data representative of a glucose concentration level in a host, comprising:

• generating, by at least one processor, a data structure comprising a plurality of bins assigned to a plurality of predetermined glucose concentration levels;
• generating, by the at least one processor, a value representative of a measured glucose concentration level obtained from received sensor data;
• adding, by the at least one processor, the value to at least one of the plurality of bins, wherein the adding of the value increments an occurrence value for the at least one of the plurality of bins;
• analyzing, by the at least one processor, the data structure including the at least one of the plurality of bins and the occurrence value to determine at least one descriptive measurement;
• and
• generating a report including the at least one descriptive measurement.

An apparatus comprising:

• at least one processor;
• and
• at least one memory including code, which when executed by the at least one processor provides operation comprising:
• receiving sensor data representative of a glucose concentration level in a host;
• adding a value to a data structure including a plurality of bins assigned to a plurality of predetermined glucose concentration levels, wherein the adding of the value increments an occurrence value for at least one of the plurality of bins;
• and
• analyzing the data structure and the occurrence value to determine at least one descriptive measurement.

A non-transitory computer-readable storage medium including program code, which when executed by at least one processor provides operations comprising:

• receiving sensor data representative of a glucose concentration level in a host;
• generating a plurality of data structures for a plurality of contiguous time periods;
• selecting at least one of the plurality of data structures based on a time when the received sensor data was measured;
• adding a value to the selected at least one of the plurality of data structures, wherein the adding of the value increments an occurrence value for the selected at least one of the plurality of data structures;
• and
• analyzing the selected at least one of the plurality of data structures and the occurrence value to determine at least one descriptive measurement, wherein the determining includes calculating at least one of a union or an intersection of the plurality of data structures to determine the at least one descriptive measurement.