LQG artificial pancreas control system and related method
First Claim
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1. A computer-implemented method for treating a patient with insulin, the patient suffering from diabetes mellitus (DM), by determining an insulin dosing recommendation to achieve an optimal glycemic control, the method comprising:
- applying, by a processor, an adaptive observer scheme to estimate a present physiological state of a patient based on at least one measurement of blood glucose concentration in the patient, wherein the adaptive observer scheme models the present physiological state of the patient using a dynamic model that employs at least one physiological parameter;
applying, by a processor, the estimated physiological state to a Linear Quadratic regulator to determine an insulin dosing recommendation based on the present physiological state so estimated, andoutputting, by a processor, the insulin dosing recommendation to a user to determine an appropriate insulin injection to be administered to said patient; and
modifying, in the dynamic model, at least one physiological parameter based on an additional measurement of blood glucose concentration and blood insulin concentration from the patient to ensure absence of a bias between an estimated plasma glucose concentration and an actual plasma glucose concentration at steady state.
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Abstract
The invention relates to a methods and systems for determining an insulin dosing recommendation. The invention employs Linear Quadratic methodology to determine the insulin dosing recommendation based on a patient'"'"'s present physiological state, which is estimated by an adaptive filter methodology employing a dynamic model, which utilizes real-time measurements of blood glucose concentration.
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Citations
12 Claims
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1. A computer-implemented method for treating a patient with insulin, the patient suffering from diabetes mellitus (DM), by determining an insulin dosing recommendation to achieve an optimal glycemic control, the method comprising:
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applying, by a processor, an adaptive observer scheme to estimate a present physiological state of a patient based on at least one measurement of blood glucose concentration in the patient, wherein the adaptive observer scheme models the present physiological state of the patient using a dynamic model that employs at least one physiological parameter; applying, by a processor, the estimated physiological state to a Linear Quadratic regulator to determine an insulin dosing recommendation based on the present physiological state so estimated, and outputting, by a processor, the insulin dosing recommendation to a user to determine an appropriate insulin injection to be administered to said patient; and modifying, in the dynamic model, at least one physiological parameter based on an additional measurement of blood glucose concentration and blood insulin concentration from the patient to ensure absence of a bias between an estimated plasma glucose concentration and an actual plasma glucose concentration at steady state. - View Dependent Claims (3, 4, 5, 6, 7)
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2. A computer-implemented method for determining an insulin dosing recommendation comprising:
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applying, by a processor, an adaptive observer scheme to estimate a present physiological state of a patient based on at least one measurement of blood glucose concentration in the patient, wherein the adaptive observer scheme models the present physiological state of the patient using a dynamic model; applying, by a processor, the estimated physiological state to a Linear Quadratic regulator to determine an insulin dosing recommendation based on the present physiological state so estimated, and outputting, by a processor, the insulin dosing recommendation to a user to determine an appropriate insulin injection to be administered to said patient, wherein the dynamic model is one of; a minimal model of glucose kinetics (MMGK), and wherein the MMGK is augmented to take into account transport of insulin from an injection site to central circulation, as well as transport of glucose from the patient'"'"'s stomach to central circulation; a reduced meal model (RMM), and wherein the RMM is augmented using two subcutaneous insulin equations, an interstitial glucose equation, and modeling a meal via a single equation; and an augmented meal model (AMM), which is augmented by two additional insulin states for transport and an additional glucose compartment (interstitium).
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8. A computer-implemented method for treating a patient with insulin, the patient suffering from diabetes mellitus (DM), by determining an insulin dosing recommendation to achieve an optimal glycemic control, the method comprising:
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taking a measurement of blood glucose concentration in a patient at each of a plurality of actuation times; applying, by a processor, an adaptive filter scheme at each actuation time to generate an estimate of the patient'"'"'s present physiological state based on the most recent measurement of blood glucose concentration, wherein the adaptive filter scheme models the present physiological state of the patient using a dynamic model that employs at least one physiological parameter; storing, by a processor, the estimate of the patient'"'"'s present physiological state; using, by a processor, Linear Quadratic methodology to determine an insulin dosing recommendation based on the estimate of the patient'"'"'s present physiological state and based on any stored estimates of the patient'"'"'s physiological state, outputting, by a processor, the insulin dosing recommendation to a user to determine an appropriate insulin injection to be administered to said patient; modifying, in the dynamic model, at least one physiological parameter based on an additional measurement of blood glucose concentration and blood insulin concentration from the patient to ensure absence of a bias between an estimated plasma glucose concentration and an actual plasma glucose concentration at steady state. - View Dependent Claims (9)
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10. An artificial pancreas control system for treating a patient with insulin, the patient suffering from diabetes mellitus (DM), by determining an insulin dosing recommendation to achieve an optimal glycemic control, the system comprising:
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an observer, comprising a programmable computer controller programmed to receive real-time measurements of blood glucose concentration in a patient, and to apply an adaptive filter scheme to estimate a present physiological state of a patient based on the measurements of blood glucose concentration, wherein the adaptive filter scheme models the present physiological state of the patient using a dynamic model that employs at least one physiological parameter; and an LQ Regulator, comprising a second programmable computer controller programmed to receive the present physiological state estimation from the observer, and to use Linear Quadratic methodology to determine the insulin dosing recommendation based on the present physiological state; wherein the second programmable computer controller is further configured to present the insulin dosing recommendation; modifying, in the dynamic model, at least one physiological parameter based on an additional measurement of blood glucose concentration and blood insulin concentration from the patient to ensure absence of a bias between an estimated plasma glucose concentration and an actual plasma glucose concentration at steady state. - View Dependent Claims (11, 12)
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Specification