Dynamic equivalent on board estimator
AssigneeDexCom, Inc.
InventorsStephen D. Patek, Enrique Campos-Náñez
Life of this patent
Estimating the term…
Abstract
Adaptive on board estimation of exogenous pharmacon responsive to transient (i.e., impermanent) physiological effects is provided. Dynamically estimating an equivalent amount of an exogenous pharmacon on board (XOB), such as insulin and/or carbohydrates, left in the subject, is based on predictions of glucose time-series data. These estimated values, such as insulin on board (IOB), are useful for diabetes management software, including decision support and/or artificial pancreas (AP) algorithms, for example.
Claims25
A diabetes management system comprising:
- at least one processor configured to perform calculations executing an input compiler, an exogenous pharmacon on board (XOB) estimator and an output compiler, the input compiler being configured to receive and process input data, wherein the XOB estimator estimates an amount of pharmacon that will produce a glucose response that is closest to a predicted glucose response due to historical pharmacon administrations;
- wherein the XOB estimator comprises a baseline time-series estimator, an iterative time-series comparator, and a time-series comparator, wherein the baseline time-series estimator is a stateless machine that receives historical XOB amounts and continuous glucose monitoring (CGM) system history and produces a time-series that approximates future values of glucose, wherein the iterative time-series comparator is configured to combine a procedure that generates candidate XOB amounts with a modification of the time-series estimator in which historical XOB amounts are substituted with the XOB amount under consideration, wherein the time-series comparator is configured to match a pair of time-series that can be any measure of distance or similarity between the series;
- and
- an insulin pump or pen injecting or infusing an amount of insulin to a patient based on the amount of pharmacon that is estimated for use in treatment of diabetes.
A diabetes management system comprising:
- at least one processor configured to perform calculations executing an input compiler, an exogenous pharmacon on board (XOB) estimator and an output compiler, wherein the input compiler receives and processes input data relating to a pharmacon, wherein the XOB estimator uses estimation to account for transient changes in pharmacon absorption of the pharmacon, and wherein the XOB estimator determines an XOB estimation, and wherein the output compiler renders the XOB estimation;
- and
- an insulin pump or pen injecting or infusing an amount of insulin to a patient based on the XOB estimation for use in treatment of diabetes.
A diabetes management system comprising:
- a monitoring device configured to receive input data pertaining to a patient;
- a handheld computing device configured to receive the input data from the monitoring device;
- and an exogenous pharmacon on board (XOB) calculator configured to perform an XOB estimation using the input data, wherein the XOB calculator estimates an amount of pharmacon that will produce a glucose response that is closest to a predicted glucose response due to historical pharmacon administrations;
- and
- wherein the XOB calculator comprises an XOB estimator, wherein the XOB estimator is configured to estimate a glucose equivalent effect of a pharmacon at a predetermined time, wherein the XOB estimator comprises a baseline time-series estimator, an iterative time-series comparator, and a time-series comparator, wherein the baseline time-series estimator is a stateless machine that receives historical XOB amounts and continuous glucose monitoring (CGM) system history and produces a time-series that approximates future values of glucose, wherein the iterative time-series comparator is configured to combine a procedure that generates candidate XOB amounts with a modification of the time-series estimator in which historical XOB amounts are substituted with the XOB amount under consideration, wherein the time-series comparator is configured to match a pair of time-series that can be any measure of distance or similarity between the series;
- and
- an insulin pump or pen injecting or infusing an amount of insulin to the patient based on the XOB estimation for use in treatment of diabetes.
Dependencies are inferred from the claim text.