US 12,171,569 B2
Miscarriage identification and prediction from wearable-based physiological data
Nina Nicole Thigpen, Jersey City, NJ (US); Neta A. Gotlieb, Albany, CA (US); Gerald Pho, Somerville, MA (US); and Kirstin Elizabeth Aschbacher, San Francisco, CA (US)
Assigned to Oura Health Oy, Oulu (FI)
Filed by Oura Health Oy, Oulu (FI)
Filed on Mar. 31, 2022, as Appl. No. 17/710,045.
Claims priority of provisional application 63/169,314, filed on Apr. 1, 2021.
Prior Publication US 2022/0313147 A1, Oct. 6, 2022
Int. Cl. A61B 5/00 (2006.01); A61B 5/01 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); A61B 5/08 (2006.01); A61B 5/11 (2006.01); A61B 5/1455 (2006.01); A61B 10/00 (2006.01); G08B 21/04 (2006.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01)
CPC A61B 5/4343 (2013.01) [A61B 5/0002 (2013.01); A61B 5/01 (2013.01); A61B 5/02055 (2013.01); A61B 5/02405 (2013.01); A61B 5/02416 (2013.01); A61B 5/02438 (2013.01); A61B 5/0816 (2013.01); A61B 5/1118 (2013.01); A61B 5/14551 (2013.01); A61B 5/4806 (2013.01); A61B 5/4809 (2013.01); A61B 5/4812 (2013.01); A61B 5/486 (2013.01); A61B 5/6801 (2013.01); A61B 5/6802 (2013.01); A61B 5/6826 (2013.01); A61B 5/7264 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 5/7282 (2013.01); A61B 5/742 (2013.01); A61B 5/7435 (2013.01); A61B 5/7475 (2013.01); A61B 10/0012 (2013.01); G08B 21/0453 (2013.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 2010/0019 (2013.01); A61B 2010/0029 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
acquiring, via one or more temperature sensors of a wearable ring device configured to be worn by a user that is pregnant, physiological data associated with the user;
receiving, via a transceiver of a user device and from the wearable ring device, the physiological data associated with the user, the physiological data comprising at least temperature data;
determining a time series of a plurality of temperature values taken over a plurality of days based at least in part on the received temperature data;
identifying that the plurality of temperature values are lower than a pregnancy baseline of temperature values for the user based at least in part on determining the time series;
identifying that one or more positive slopes of the plurality of temperature values are lower than a positive slope of the pregnancy baseline of temperature values for the user based at least in part on determining the time series;
detecting an indication of an early pregnancy loss of the user based at least in part on identifying that the plurality of temperature values are lower than the pregnancy baseline of temperature values for the user and based at least in part on identifying that the one or more positive slopes of the plurality of temperature values are lower than the positive slope for the pregnancy baseline of temperature values for the user; and
generating a message for display on a graphical user interface of the user device that indicates the indication of the early pregnancy loss.