Method for controlling the delivery of insulin and the related system

• US 9,827,371 B2
• Filed: 03/23/2012
• Issued: 11/28/2017
• Est. Priority Date: 03/23/2012
• Status: Active Grant

• Current Assignee: Dipartimento di Ingegneria Civile E Architettura Dell'Università Degli Studi Di Pavia, Universita' Degli Studi Di Padova (Repubblica Italiana)
• Original Assignee: Dipartimento di Ingegneria Civile E Architettura Dell'Università Degli Studi Di Pavia, Universita' Degli Studi Di Padova (Repubblica Italiana)
• Inventors: Soru, Paola, Magni, Lalo, Toffanin, Chiara, De Nicolao, Giuseppe, Dalla Man, Chiara, Cobelli, Claudio
• Primary Examiner(s): LANDRY II, GERALD ERNEST
• Application Number:
  US14/389,936
• Publication Number:
  US 20150174322A1
• Time in Patent Office: 2,076 Days
• Field of Search: 604 65- 67, 604131-155, 6048901
• CPC Class Codes: A61M 2005/14208 with a programmable infusion control system, characterised by the infusion program
• CPC Class Codes: A61M 2205/04 implanted
• CPC Class Codes: A61M 5/14276 specially adapted for implantation
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A method (400) controls the delivery of insulin in a diabetic patient (P) based on data (d) representative of at least a fraction of a meal (m(k+i)) that the patient (P) will consume. The method provides from a block (R) representative of conventional therapy or open loop rule that the patient (P) is subject to, based on the data (d) representative of at least a fraction of the meal (m(k+i)), a reference insulin value (u₀). The method is also based on data representative of the difference between input data (ŷ), a reference glycemic level, and feedback data (y^CGM) representative of the glycemic level detected in the patient (P). A control module (301; 401) provides a value of insulin (i) to be delivered to the patient (P) based on the various representative data.

Claims

1. Method for controlling the delivery of insulin in a diabetic patient comprising steps of:

providing data representative of at least a fraction of a meal that the patient will consume;

providing, from a block representative of conventional therapy or open loop rule that the patient is subject to, based on the data representative of at least a fraction of the meal that the patient will consume, a reference insulin value;

providing data representative of the difference between input data, representative of a reference glycemic level, and feedback data representative of the glycemic level detected in the patient;

providing, from a control module, based on the data representative of the difference between the input data, representative of the reference glycemic level, and the feedback data, representative of the glycemic level detected in the patient and the data representative of at least a fraction of the meal that the patient will consume, data representative of a first insulin variation value;

providing, based on the data, representative of the first insulin variation value, and data, representative of a basal insulin value, a value of insulin to be delivered to the patient;

providing the data representative of the reference glycemic level based on data representative of the reference glycemic level in the absence of meals and data representative of a foreseen variation in the expected glycemic level due to data representative of a further fraction of the meal that the patient will consume;

providing, based on the data representative of a further fraction of the meal that the patient will consume after a time interval, a second insulin variation value for compensating the data representative of a further fraction of the meal that the patient will consume;

providing, from an empirical model block, based on the data representative of a further fraction of the meal that the patient will consume and the second insulin variation value, the data representative of the foreseen variation in expected glycemic level due to the data representative of a further fraction of the meal that the patient will consume.

2. Control method according to claim 1, also comprising the step of providing the insulin value to be delivered to the patient based on:

the data representative of the first insulin variation value, the data representative of the basal insulin value, and the second insulin variation value.

3. Control method according to claim 1, wherein the control module is a predictive controller.

4. Control method according to claim 1, wherein said data representative of said at least a fraction of the meal that the patient will consume is provided by the patient or by an automatic prediction module.

5. Control method according to claim 1, wherein the step of the control module providing the data, representative of a first insulin variation value, is also based on previous data representative of the first insulin variation value provided by the control module.

6. Control method according to claim 1, wherein the data representative of at least a fraction of the meal that the patient will consume corresponds to the entire meal that the patient will consume.