US 12,311,146 B2
Personalized closed loop optimization systems and methods
Di Wu, Palo Alto, CA (US); Benyamin Grosman, Winnetka, CA (US); Louis J. Lintereur, Boise, ID (US); Anirban Roy, Agoura Hills, CA (US); Neha J. Parikh, Pleasanton, CA (US); Patrick E. Weydt, Moorpark, CA (US); and Ali Dianaty, Porter Ranch, CA (US)
Assigned to MEDTRONIC MINIMED, INC., Northridge (CA)
Filed by Medtronic MiniMed, Inc., Northridge, CA (US)
Filed on Apr. 18, 2024, as Appl. No. 18/639,434.
Application 18/639,434 is a continuation of application No. 16/438,407, filed on Jun. 11, 2019, granted, now 11,986,629.
Prior Publication US 2024/0261505 A1, Aug. 8, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 20/10 (2018.01); A61M 5/172 (2006.01); G16H 10/40 (2018.01); G16H 20/17 (2018.01)
CPC A61M 5/1723 (2013.01) [G16H 10/40 (2018.01); G16H 20/10 (2018.01); G16H 20/17 (2018.01); A61M 2205/3569 (2013.01); A61M 2205/3584 (2013.01); A61M 2205/502 (2013.01); A61M 2205/52 (2013.01); A61M 2230/201 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of automatically adjusting a control parameter for an operating mode of a medical device, the method comprising:
obtaining, by one or more processors, data pertaining to a physiological condition of a patient during operation of the medical device;
determining an optimized value for the control parameter using the data pertaining to the physiological condition of the patient and a cost function, wherein the cost function disproportionately penalizes for an amount of time that a physiological parameter is below a lower bound of a target range and includes a first weighting factor that is dependent on an amount of time that the physiological parameter is outside of the target range, and a second weighting factor, different from the first weighting factor, dependent on the amount of time that the physiological parameter is below the lower bound of the target range; and
controlling, by the one or more processors, fluid delivery of the medical device to deliver fluid to the patient according to the control parameter at the optimized value.