Control-to-range aggressiveness
First Claim
1. A method of determining a basal rate adjustment of insulin in a continuous glucose monitoring system of a person with diabetes, the method comprising:
- receiving, by at least one computing device, a signal representative of at least one glucose measurement;
detecting, by the at least one computing device, a glucose state of the person based on the signal, the detected glucose state including a glucose level of the person and a rate of change of the glucose level;
determining, by the at least one computing device, a current risk metric, the current risk metric indicating a risk of at least one of a hypoglycemic condition and a hyperglycemic condition of the person, wherein determining the current risk metric comprisesdetermining, by the at least one computing device, a return path based on a transition from the detected glucose state to a target glucose state, the return path comprising at least one intermediate glucose value associated with a return to the target glucose state;
determining, by the at least one computing device, a cumulative hazard value of the return path, the cumulative hazard value including a sum of the hazard values of the at least one glucose value on the return path, each hazard value being indicative of a hazard associated with the corresponding intermediate glucose value; and
determining, by the at least one computing device, a weighted average of cumulative hazard values of return paths generated from a glucose state distribution around the detected glucose state; and
calculating, by the at least one computing device, an adjustment to a basal rate of a therapy delivery device based on the current risk metric and a control-to-range algorithm comprising at least one aggressiveness parameter, the aggressiveness parameter selected from;
(a) scaling of a risk surface generated based on the risk metric with a scaling factor to adjust positive hazard values associated with hyperglycemia;
(b) shifting of a risk surface generated based on the risk metric to account for insulin on board following a meal or correction bolus;
(c) adjustment to a maximum allowed glucose acceleration, glucose acceleration representing the rate of change of glucose velocity and glucose velocity representing the rate of change of glucose values;
(d) adjustment to a glucose state uncertainty representing the level of trust in the measured glucose state;
or(e) combinations thereof.
1 Assignment
0 Petitions
Accused Products
Abstract
A method and system of determining a basal rate adjustment of insulin in a continuous glucose monitoring system of a person with diabetes is provided. The method includes receiving, by at least one computing device, a signal representative of at least one glucose measurement; detecting, by the at least one computing device, a glucose state of the person based on the signal, the detected glucose state including a glucose level of the person and a rate of change of the glucose level; determining, by the at least one computing device, a current risk metric, the current risk metric indicating a risk of at least one of a hypoglycemic condition and a hyperglycemic condition of the person; and calculating, by the at least one computing device, an adjustment to a basal rate of a therapy delivery device based on the current risk metric and a control-to-range algorithm comprising at least one aggressiveness parameter.
41 Citations
15 Claims
-
1. A method of determining a basal rate adjustment of insulin in a continuous glucose monitoring system of a person with diabetes, the method comprising:
-
receiving, by at least one computing device, a signal representative of at least one glucose measurement; detecting, by the at least one computing device, a glucose state of the person based on the signal, the detected glucose state including a glucose level of the person and a rate of change of the glucose level; determining, by the at least one computing device, a current risk metric, the current risk metric indicating a risk of at least one of a hypoglycemic condition and a hyperglycemic condition of the person, wherein determining the current risk metric comprises determining, by the at least one computing device, a return path based on a transition from the detected glucose state to a target glucose state, the return path comprising at least one intermediate glucose value associated with a return to the target glucose state; determining, by the at least one computing device, a cumulative hazard value of the return path, the cumulative hazard value including a sum of the hazard values of the at least one glucose value on the return path, each hazard value being indicative of a hazard associated with the corresponding intermediate glucose value; and determining, by the at least one computing device, a weighted average of cumulative hazard values of return paths generated from a glucose state distribution around the detected glucose state; and calculating, by the at least one computing device, an adjustment to a basal rate of a therapy delivery device based on the current risk metric and a control-to-range algorithm comprising at least one aggressiveness parameter, the aggressiveness parameter selected from; (a) scaling of a risk surface generated based on the risk metric with a scaling factor to adjust positive hazard values associated with hyperglycemia; (b) shifting of a risk surface generated based on the risk metric to account for insulin on board following a meal or correction bolus; (c) adjustment to a maximum allowed glucose acceleration, glucose acceleration representing the rate of change of glucose velocity and glucose velocity representing the rate of change of glucose values; (d) adjustment to a glucose state uncertainty representing the level of trust in the measured glucose state;
or(e) combinations thereof. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
-
-
15. A blood glucose management device configured to determine a basal rate adjustment in a continuous glucose monitoring system of a person with diabetes, the device comprising:
-
a non-transitory computer-readable medium storing executable instructions; and at least one processing device configured to execute the executable instructions such that, when executed by the at least one processing device, the executable instructions cause the at least one processing device to; receive a signal representative of at least one glucose measurement; detect a glucose state of the person based on the signal, the detected glucose state including a glucose level of the person and a rate of change of the glucose level; determine a current risk metric, the current risk metric indicating a risk of at least one of a hypoglycemic condition and a hyperglycemic condition of a person, wherein determining the current risk metric comprises determining, by the at least one computing device, a return path based on a transition from the detected glucose state to a target glucose state, the return path comprising at least one intermediate glucose value associated with a return to the target glucose state; determining, by the at least one computing device, a cumulative hazard value of the return path, the cumulative hazard value including a sum of the hazard values of the at least one glucose value on the return path, each hazard value being indicative of a hazard associated with the corresponding intermediate glucose value; and determining, by the at least one computing device, a weighted average of cumulative hazard values of return paths generated from a glucose state distribution around the detected glucose state; and calculate an adjustment to a basal rate of a therapy delivery based on the current risk metric and a control-to-range algorithm comprising at least one aggressiveness parameter, the aggressiveness parameter selected from; (a) scaling of a risk surface generated based on the risk metric with a scaling factor to adjust positive hazard values associated with hyperglycemia; (b) shifting of a risk surface generated based on the risk metric to account for insulin on board following a meal or correction bolus; (c) adjustment to a maximum allowed glucose acceleration, glucose acceleration representing the rate of change of glucose velocity and glucose velocity representing the rate of change of glucose values; (d) adjustment to a glucose state uncertainty representing the level of trust in the measured glucose state;
or(e) combinations thereof.
-
Specification