	US 12,324,682 B2
	Unified platform for monitoring and control of blood glucose levels in diabetic patients
Boris P. Kovatchev, Charlottesville, VA (US); Patrick T. Keith-Hynes, Madison, TN (US); Marc D. Breton, Charlottesville, VA (US); and Stephen D. Patek, Charlottesville, VA (US)
Assigned to UNIVERISTY OF VIRGINIA PATENT FOUNDATION, Charlottesville, VA (US)
Filed by University of Virginia Patent Foundation, Charlottesville, VA (US)
Filed on Feb. 13, 2020, as Appl. No. 16/789,901.
Application 16/789,901 is a continuation of application No. 14/128,922, granted, now 10,610,154, previously published as PCT/US2012/043910, filed on Jun. 23, 2012.
Claims priority of provisional application 61/500,545, filed on Jun. 23, 2011.
Prior Publication US 2020/0214629 A1, Jul. 9, 2020
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/021 (2006.01); A61B 5/11 (2006.01); A61B 5/145 (2006.01); A61B 5/33 (2021.01); A61K 38/28 (2006.01); A61M 5/168 (2006.01); A61M 5/172 (2006.01); G16H 20/10 (2018.01); G16H 20/17 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 5/024 (2006.01); G16H 40/63 (2018.01)

CPC A61B 5/4839 (2013.01) [A61B 5/0022 (2013.01); A61B 5/0024 (2013.01); A61B 5/0205 (2013.01); A61B 5/021 (2013.01); A61B 5/11 (2013.01); A61B 5/14532 (2013.01); A61B 5/33 (2021.01); A61B 5/486 (2013.01); A61B 5/7264 (2013.01); A61B 5/7275 (2013.01); A61B 5/742 (2013.01); A61B 5/746 (2013.01); A61B 5/747 (2013.01); A61K 38/28 (2013.01); A61M 5/16831 (2013.01); A61M 5/1723 (2013.01); G16H 20/10 (2018.01); G16H 20/17 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 5/024 (2013.01); G16H 40/63 (2018.01)]

30 Claims

1. A system for treating a patient with insulin, the patient suffering from diabetes mellitus (DM), by managing glycemic control of the patient, the system comprising:

a computer processor that includes:

a patient state estimation module configured to process input data, from one or more of a plurality of diverse glucose measurement devices, one or more of a plurality of diverse insulin devices, or other physiological data of a patient, in accordance with at least one data processing algorithm corresponding to a classification of the input data, wherein the classification is based on frequency, dimensionality, and quality of the input data;

a patient risk status module configured to determine a level of risk of a patient with respect to one or more glycemic states using processed data from said patient state estimation module; and

an output module configured to output control signals for at least one of a blood glucose measurement device or an insulin delivery device, the control signals being based on the level of risk determined by said patient risk status module.