US 11,986,629 B2
Personalized closed loop optimization systems and methods
Di Wu, Glendale, CA (US); Benyamin Grosman, Valley Village, CA (US); Louis J. Lintereur, Stevenson Ranch, CA (US); Anirban Roy, Agoura Hills, CA (US); Neha J. Parikh, West Hills, CA (US); Patrick E. Weydt, Moorpark, CA (US); and Ali Dianaty, Porter Ranch, CA (US)
Assigned to MEDTRONIC MINIMED, INC., Northridge, CA (US)
Filed by MEDTRONIC MINIMED, INC., Northridge, CA (US)
Filed on Jun. 11, 2019, as Appl. No. 16/438,407.
Prior Publication US 2020/0390973 A1, Dec. 17, 2020
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)] 15 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, by the one or more processors, a plurality of adjusted values for the control parameter to be optimized using a cost function based at least in part on the data, the control parameter being a proportional-integral-derivative (PID) gain coefficient value, a PID time constant, an insulin limit, or a pharmodynamical time constant;
for each of the plurality of adjusted values for the control parameter, determining, by the one or more processors, a respective cost associated with the respective adjusted value for the control parameter based at least in part on the data using the cost function, resulting in a plurality of costs associated with each of the plurality of adjusted values, wherein the cost function disproportionately penalizes negative excursions relative to a target range for the physiological condition, and wherein the cost function disproportionately penalizes the negative excursions relative to the target range by including a first penalty term dependent on time spent outside of the target range, and a second penalty term, different from the first penalty term, dependent on time spent below a lower bound of the target range;
identifying, by the one or more processors, from among the plurality of adjusted values, an optimized value from among the plurality of adjusted values, wherein the optimized value has a minimum cost associated therewith from among the plurality of costs; 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.