Software applications residing on handheld analyte determining devices

US9913599B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9913599-B2
Application numberUS-201113984815-A
CountryUS
Kind codeB2
Filing dateDec 21, 2011
Priority dateFeb 11, 2011
Publication dateMar 13, 2018
Grant dateMar 13, 2018

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  1. Title

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  2. Abstract

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Abstract

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Presented herein is a handheld analyte measurement device. The analyte measurement device includes one or more software applications to help the user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with the handheld analyte measurement device.

First claim

Opening claim text (preview).

What is claimed is: 1. A diabetes management system for optimizing the amount of recoverable historical information and minimizing the amount of data stored therein, the system comprising: an analyte measurement device having one or more computer-readable storage medium having instructions executable by at least one processing device that, when executed, cause the processing device to determine a data storage schedule based on instantaneous glucose information and glucose rate of change information, wherein the instructions to determine the data storage schedule comprise instructions to: receive and store a first glucose measurement; determine a glucose rate of change based in part upon the first glucose measurement; determine an estimated time interval based, at least, on when a glucose concentration will change by a predetermined amount from the first glucose measurement; and after waiting the estimated time interval, receive and store a second glucose measurement. 2. The diabetes management system of claim 1 , wherein the instructions executable by the at least one processing device, when executed, cause the processing device to place at least one of an upper limit and a lower limit on the estimated time interval. 3. The diabetes management system of claim 1 , wherein the estimated time interval is further determined based on historical patient glucose data. 4. The diabetes management system of claim 3 , wherein the instructions executable by the at least one processing device, when executed, cause the processing device to utilize an AutoRegressive (AR) model. 5. The diabetes management system of claim 3 , wherein the instructions executable by the at least one processing device, when executed, cause the processing device to utilize polynomial fitting. 6. The diabetes management system of claim 1 , wherein the estimated time interval is further determined based on historical patient glucose data and additional information selected from insulin, exercise or other diabetes relevant parameters. 7. The diabetes management system of claim 6 , wherein the instructions executable by the at least one processing device, when executed, cause the processing device to utilize an AutoRegressive with exogenous input (ARX) model. 8. The diabetes management system of claim 6 , wherein the instructions executable by the at least one processing device, when executed, cause the processing device to utilize a physiology-based glucoregulatory model. 9. The diabetes management system of claim 8 , wherein the instructions executable by the at least one processing device, when executed, cause the processing device to utilize a Kalman Filter. 10. The diabetes management system of claim 1 , wherein the instructions executable by the at least one processing device, when executed, cause the processing device to shorten the estimated time interval when an erroneous glucose measurement is detected.

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What does patent US9913599B2 cover?
Presented herein is a handheld analyte measurement device. The analyte measurement device includes one or more software applications to help the user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with the handheld analyte measurement device.
Who is the assignee on this patent?
Bernstein Daniel M, Bradrick Brittany K, Budiman Erwin S, and 9 more
What technology area does this patent fall under?
Primary CPC classification A61B5/14532. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Mar 13 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).