Granted Patent B2

US 12,741,086 · App. 18/453,765 · Granted Sep 22, 2026

Inventors: Joon Bok Lee (Acton, MA); Jason O'Connor (Acton, MA); Yibin Zheng (Hartland, WI); Ashutosh Zade (San Diego, CA)

Assignee: INSULET CORPORATION

A61M5/14248A61M5/1723A61M2202/0486

Abstract

Claims (62)

1 . A wearable drug delivery device system, comprising:

a processor operable to execute programming instructions;

communication circuitry coupled to the processor and operable to receive data signals and transmit control signals, and

a memory coupled to the processor and operable to store programming instructions and data related to an amount of insulin expelled by a wearable drug delivery device, wherein the processor is operable to:

obtain an insulin delivery data set, wherein the insulin delivery data set includes delivery data corresponding to discrete amounts of insulin delivered over a current period of time;

calculate a total amount of insulin delivered over the current period of time using the delivery data in the insulin delivery data set;

determine a value of a ratio using a percentage of a previous total amount of insulin delivered during a previous period of time over a standard deviation of the total amount of insulin delivered over the current period of time;

establish an adaptivity rate factor that is a value between a maximum value and a minimum adaptivity parameter value;

set an adaptivity modification coefficient using the established adaptivity rate factor;

generate a rate of adaptivity using the adaptivity modification coefficient;

calculating a total daily insulin setting using the rate of adaptivity; and

modifying an insulin delivery schedule based on the calculated total daily insulin setting.

2 . The wearable drug delivery device system of claim 1 , wherein the processor is further operable to, wherein the adaptivity modification coefficient is equal to an output of a minimum function.

3 . The wearable drug delivery device system of claim 1 , wherein the processor is further operable to:

receive a plurality of signals within the current period of time, wherein each signal of the plurality of signals includes at least the discrete amount of insulin delivered by a drug delivery device.

4 . The wearable drug delivery device system of claim 1 , wherein the processor is further operable to, wherein the adaptivity rate factor is a preset tunable value.

5 . The wearable drug delivery device system of claim 1 , wherein the processor is further operable to:

cause insulin to be expelled from a reservoir of a wearable drug delivery device according to the modified insulin delivery schedule.

6 . The wearable drug delivery system of claim 1 , further comprising:

a wearable drug delivery device operable to receive control signals and expel insulin based on the received control signals.

7 . The wearable drug delivery system of claim 1 , further comprising:

an analyte sensor operable to measure blood glucose of the user and transmit signals indicating measured blood glucose values.

8 . A non-transitory computer readable medium embodied with programming instructions that when executed by a processor cause the processor to:

obtain a blood glucose data set, wherein the blood glucose data set includes blood glucose measurement values measured over a current period of time;

calculate a standard deviation of the blood glucose measurement values in the blood glucose data set;

determine a value of a ratio using a preset constant value over the standard deviation of the total amount of insulin delivered over the current period of time;

establish a maximum value between the value of the ratio and a minimum adaptivity parameter;

determine an adaptivity modification coefficient using the maximum value and an adaptivity rate factor, wherein a minimum value of either the maximum value or the adaptivity rate factor is determined to be the adaptivity modification coefficient;

generate a rate of adaptivity using the adaptivity modification coefficient;

calculate a total daily insulin setting using the rate of adaptivity; and

modify an insulin delivery schedule based on the calculated total daily insulin setting.

9 . A wearable drug delivery device system, comprising:

a processor operable to execute programming instructions;

communication circuitry coupled to the processor and operable to receive data signals and transmit control signals, and

a memory coupled to the processor and operable to store programming instructions and data related to a physiological condition of a user, wherein the processor is operable to:

obtain a blood glucose data set, wherein the blood glucose data set includes blood glucose measurement values measured over a current period of time;

calculate a standard deviation of the blood glucose measurement values in the blood glucose data set;

determine a value of a ratio using a preset constant value over the standard deviation of the total amount of insulin delivered over the current period of time;

establish a maximum value between the value of the ratio and a minimum adaptivity parameter;

determine an adaptivity modification coefficient using the maximum value and an adaptivity rate factor, wherein a minimum value of either the maximum value or the adaptivity rate factor is determined to be the adaptivity modification coefficient;

generate a rate of adaptivity using the adaptivity modification coefficient;

calculate a total daily insulin setting using the rate of adaptivity; and

modify an insulin delivery schedule based on the calculated total daily insulin setting.

10 . The computer readable medium of claim 9 , further comprising programming instructions that when executed by the processor cause the processor to:

receive a plurality of signals within the current period of time, wherein each signal of the plurality of signals includes at least the blood glucose measurement values.

11 . The computer readable medium of claim 9 , wherein the adaptivity rate factor is a preset tunable value.

12 . The computer readable medium of claim 9 , further comprising programming instructions that when executed by the processor cause the processor to:

cause insulin to be expelled from a reservoir of a wearable drug delivery device according to the modified insulin delivery schedule.

13 . The computer readable medium of claim 9 , further comprising programming instructions that when executed by the processor cause the processor to:

receive an indication that the drug delivery device is to be replaced, wherein the indication is received wirelessly or via an input to a user interface coupled to the processor; and

in response to the indication, calculate the total daily insulin setting using the rate of adaptivity.

14 . The wearable drug delivery device system of claim 9 , wherein the processor is further operable to:

receive a plurality of signals within the current period of time, wherein each signal of the plurality of signals includes at least the blood glucose measurement values.

15 . The wearable drug delivery device system of claim 9 , wherein the adaptivity rate factor is a preset tunable value.

16 . The wearable drug delivery device system of claim 9 , wherein the processor is further operable to:

cause insulin to be expelled from a reservoir of a wearable drug delivery device according to the modified insulin delivery schedule.

17 . The wearable drug delivery device system of claim 9 , wherein the processor, when generating the rate of adaptivity using the adaptivity modification coefficient, is further operable to:

retrieve a weighting value from the memory;

multiply the adaptivity modification coefficient by the weighting value to generate the rate of adaptivity.

18 . The wearable drug delivery system of claim 9 , further comprising:

a wearable drug delivery device operable to receive control signals and expel insulin based on the received control signals.

19 . The wearable drug delivery system of claim 9 , further comprising: an analyte sensor operable to measure blood glucose of the user and transmit signals indicating measured blood glucose values.

Assignments (1)

Continuity (2)

References Cited (400)