US 11,837,339 B2
Analyte meter
Jun Chen, Warren, NJ (US); Harris Lieber, White Plains, NY (US); Erik Nelson, Ridgefield, CT (US); Jeffery S. Reynolds, New Fairfield, CT (US); Kevin Curran, Wayne, NJ (US); Aseem Mehta, Mountain Lakes, NJ (US); and Dawn Rountree, Derby, CT (US)
Assigned to Ascensia Diabetes Care Holdings AG, Basel (CH)
Filed by Ascensia Diabetes Care Holdings AG, Basel (CH)
Filed on Jun. 22, 2020, as Appl. No. 16/908,192.
Application 16/908,192 is a continuation of application No. 15/525,888, granted, now 10,714,212, previously published as PCT/US2015/060653, filed on Nov. 13, 2015.
Claims priority of provisional application 62/080,067, filed on Nov. 14, 2014.
Prior Publication US 2020/0365240 A1, Nov. 19, 2020
Int. Cl. G16H 10/40 (2018.01); A61B 5/00 (2006.01); G16H 40/63 (2018.01); A61B 5/145 (2006.01); C12Q 1/54 (2006.01); G01N 33/66 (2006.01); A61B 5/1486 (2006.01)
CPC G16H 10/40 (2018.01) [A61B 5/0015 (2013.01); A61B 5/14532 (2013.01); A61B 5/742 (2013.01); A61B 5/746 (2013.01); C12Q 1/54 (2013.01); G01N 33/66 (2013.01); G16H 40/63 (2018.01); A61B 5/1486 (2013.01); A61B 5/14546 (2013.01); A61B 5/7275 (2013.01)] 18 Claims
OG exemplary drawing
 
8. A method for managing health data, the method comprising:
determining, via at least one processor of a mobile device, a plurality of behavior patterns associated with a user of a continuous glucose monitoring sensor, the plurality of behavior patterns based at least in part on glucose data transmitted to the mobile device from a testing device based at least in part on signals from the continuous glucose monitoring sensor transmitted to the testing device,
wherein each behavior pattern of the plurality of behavior patterns comprises one or more actions or choices made by the user during a pre-determined time period leading up to a glucose level measurement;
determining and selecting, via the at least one processor, a subset of behavior patterns from among the plurality of behavior patterns, the subset of behavior patterns comprising a first behavior pattern and a second behavior pattern, wherein the first behavior pattern are actions associated with calculated glucose level measurements within an acceptable range and wherein the second behavior pattern are actions or choices associated with calculated glucose level measurements outside the acceptable range;
assigning a first category and a first status to each of the first behavior pattern and the second behavior pattern;
causing, via the at least one processor, a display of the mobile device to provide a visual representation comprising a first indication and a second indication;
wherein the first indication indicates the first behavior pattern, that the first behavior pattern is beneficial, and that the user should repeat the actions associated with the first behavior pattern, and the first category and the first status associated with the first behavior pattern;
wherein the second indication indicates the second behavior pattern, that the second behavior pattern is problematic, and a recommended corrective action for the second behavior pattern, and the first category and the first status of the second behavior pattern,
wherein the recommended corrective action includes a recommendation to avoid actions associated with the second behavior pattern; and
responsive to receiving an input from the user, updating the first category or the first status of either the first behavior pattern or the second behavior pattern.