Method and system for determining analyte levels
Inventors
Hayter, Gary Alan • Budiman, Erwin Satrya
Assignees
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Publication Number
US-12706190-B2
Publication Date
2026-08-11
Expiration Date
Abstract
Methods and systems including receiving exogenous measurement data, receiving current analyte sensor measurement data from an analyte sensor configured to detect signal levels representative of analyte levels, and iteratively determining a plurality of present predicted state estimates using the exogenous measurement data and a past state estimate, wherein each subsequent present predicted state estimate is provided as input as the past state estimate. Thereafter, determining a present corrected state estimate using the iteratively determined plurality of present predicted state estimates and the current analyte sensor measurement data, the present corrected state estimate including an estimated analyte level and generating and outputting a medication delivery profile based on the estimated analyte level, the medication delivery profile comprising at least one of medication delivery rate or a medication delivery amount.
Core Innovation
The invention relates to an analyte monitoring and estimation approach in which a user interface device receives exogenous measurement data and glucose data from a glucose sensor that detects signal levels representative of glucose levels. The processor determines current glucose sensor measurement data by selecting glucose data collected over a first time period or a second time period longer than the first time period, depending on whether a medication delivery rate or medication delivery amount exceeds a predetermined threshold level.
The processor iteratively determines a plurality of present predicted state estimates using the exogenous measurement data and a past state estimate, where each subsequent present predicted state estimate uses the prior predicted state estimate as the past state estimate. Based on the iteratively determined plurality of predicted state estimates and the current glucose sensor measurement data, the processor determines a present corrected state estimate that includes an estimated glucose level.
The estimated glucose level is used to generate and output a medication delivery profile. The medication delivery profile comprises at least one of a medication delivery rate or a medication delivery amount, and the document further describes adaptive filtering and weighting behavior for the current glucose sensor measurement data, including filtering using a rate variance filter and adjusting the weighting in response to glucose rate-of-change or standard deviation.
Claims Coverage
The provided partial content includes two independent claims: a method claim and a system claim. Both independent claims share four inventive features.
Threshold-based time-window selection for current glucose measurement data
Determining current glucose sensor measurement data based on one or more glucose data collected over a first time period or glucose data collected over a second time period longer than the first time period, depending on whether a medication delivery rate or amount exceeds a predetermined threshold level.
Iterative present predicted state estimation from exogenous measurement data and past state estimate
Iteratively determining a plurality of present predicted state estimates using the exogenous measurement data and a past state estimate, where each subsequent present predicted state estimate is provided as input as the past state estimate.
Present corrected state estimate using predicted estimates and current glucose measurement data
Determining a present corrected state estimate using the iteratively determined plurality of present predicted state estimates and the current glucose sensor measurement data, where the present corrected state estimate includes an estimated glucose level.
Medication delivery profile generation from estimated glucose level
Generating and outputting a medication delivery profile based on the estimated glucose level, where the medication delivery profile comprises at least one of a medication delivery rate or a medication delivery amount.
Glucose sensor under-skin detection with user interface device communication
Providing a glucose sensor comprising sensor electronics configured to detect signal levels representative of glucose levels and comprising a portion positioned under a user's skin in contact with a bodily fluid, and a user interface device configured to communicate with the sensor electronics.
Across both independent claims, the core inventive coverage is centered on adaptive selection of glucose sensor data over different time periods conditioned on medication delivery threshold exceedance, iterative generation of predicted state estimates from exogenous measurement data, correction using current glucose sensor measurement data to obtain a present corrected state estimate including an estimated glucose level, and generating and outputting a medication delivery profile based on that estimated glucose level.
Stated Advantages
Adaptive determination of current glucose sensor measurement data using different time periods depending on whether medication delivery rate or amount exceeds a predetermined threshold level.
Production of a present corrected state estimate including an estimated glucose level using iteratively determined present predicted state estimates and current glucose sensor measurement data.
Generation and output of a medication delivery profile comprising at least one of a medication delivery rate or a medication delivery amount based on the estimated glucose level.
Documented Applications
Monitoring and estimating glucose/analyte level for medication, including generating a medication delivery profile, based on exogenous measurement data and glucose sensor measurements.
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