INSULIN TIME-ACTION MODEL

• US 20160038673A1
• Filed: 02/28/2014
• Published: 02/11/2016
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: LifeScan IP Holdings, LLC
• Original Assignee: Animas Corporation (Johnson & Johnson)
• Inventors: MORALES, Carlos
• Application Number:
  US14/776,882
• Publication Number:
  US 20160038673A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61M 2005/14208 with a programmable infusion control system, characterised by the infusion program
• CPC Class Codes: A61M 5/14244 adapted to be carried by the patient, e.g. portable on the body
• CPC Class Codes: A61M 5/172 electrical or electronic A61M5/16804, A61M5/16831 take precedence
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Described and shown herein is simple dynamic model for insulin time-action profiles. Various aspects are suitable for implementation in an embedded system such as an insulin pump, or a handheld device such as a pump remote control. Various aspects can be used as an off-line modeling tool running on a smartphone to assist patients in their treatment, or can be used as part of a closed-loop control algorithm for an artificial pancreas.

Claims

1. A method to control an infusion pump responsive to a controller that receives data from at least one glucose sensor, the method comprising automatically performing the following steps using the controller:

receiving data of one or more physiological variables;

computing insulin time-action model parameters by applying a machine-learning process to the received data of the one or more physiological variables;

receiving from the glucose sensor respective glucose level measurements for each time interval of a series of discrete time intervals;

calculating an insulin delivery amount for a selected one of the time intervals by;

predicting a trend of the glucose level from estimates of a metabolic state of the subject using a plurality of the respective glucose level measurements and using an insulin time-action model corresponding to the computed insulin time-action model parameters; and

using a model predictive controller, determining the insulin delivery amount to provide a desired future glucose level in response to the predicted trend; and

commanding the infusion pump to deliver the calculated insulin delivery amount.

2. The method according to claim 1, wherein the physiological variables do not include glucose level.

3. Apparatus for the delivery of insulin, the apparatus comprising:

a) a glucose monitor adapted to continually measure respective glucose levels of a subject at discrete time intervals and provide respective glucose measurement data indicating each measured glucose level;

b) an insulin infusion pump configured to deliver insulin in response to a delivery control signal;

c) an interface adapted to receive data of one or more physiological variables; and

d) a controller adapted to, for each of a plurality of the discrete time intervals;

i) receive data of one or more physiological variables;

ii) computing insulin time-action model parameters using the received data of the one or more physiological variables;

iii) predict a trend of the glucose level from estimates of a metabolic state of the subject using a plurality of the respective glucose level measurements and using an insulin time-action model corresponding to the computed insulin time-action model parameters;

iv) using a model predictive controller, determine the insulin delivery amount to provide a desired future glucose level in response to the predicted trend; and

v) provide to the insulin infusion pump a delivery control signal corresponding to the determined insulin delivery amount, whereby a corresponding amount of insulin is delivered.