US 12,353,683 B2
Processing irregular glucose data using dynamic time warping
Javier Mosquera, Minnetonka, MN (US); and Yinglong Guo, Minnetonka, MN (US)
Assigned to UnitedHealth Group Incorporated, Minnetonka, MN (US)
Appl. No. 17/754,033
Filed by UnitedHealth Group Incorporated, Minnetonka, MN (US)
PCT Filed Nov. 26, 2019, PCT No. PCT/US2019/063394
§ 371(c)(1), (2) Date Mar. 22, 2022,
PCT Pub. No. WO2021/107938, PCT Pub. Date Jun. 3, 2021.
Prior Publication US 2022/0384000 A1, Dec. 1, 2022
Int. Cl. G06F 3/0484 (2022.01); G06T 19/00 (2011.01); G16H 15/00 (2018.01); G16H 50/00 (2018.01); G16H 50/70 (2018.01)
CPC G06F 3/0484 (2013.01) [G06T 19/00 (2013.01); G16H 15/00 (2018.01); G16H 50/00 (2018.01); G16H 50/70 (2018.01)] 23 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving, by one or more processors, a plurality of time series comprising a plurality of glucose readings respectively associated with a plurality of timestamps, the plurality of time series being generated during one or more time periods;
adaptively determining, by the one or more processors, a gamma parameter based at least in part on (i) the plurality of glucose readings and (ii) the plurality of timestamps respectively associated with the plurality of glucose readings;
determining, by the one or more processors, a barycenter based at least in part on the plurality of time series and the gamma parameter;
determining, by the one or more processors, a representative series of the plurality of time series associated with the plurality of glucose readings by applying a smoothing function to the barycenter; and
displaying, by the one or more processors, a graphical display of the representative series via a user interface.