US 11,678,838 B2
Automated detection of breathing disturbances
Suraj Gowda, Berkeley, CA (US); Conor Joseph Heneghan, Campbell, CA (US); Shelten Gee Jao Yuen, Berkeley, CA (US); Anjian Wu, San Francisco, CA (US); Daniel Joel Freschl, Berkeley, CA (US); Peter W. Richards, San Francisco, CA (US); Chris H. Sarantos, San Francisco, CA (US); and Jonathan Wonwook Kim, Emeryville, CA (US)
Assigned to FITBIT, INC., San Francisco, CA (US)
Filed by Fitbit, Inc., San Francisco, CA (US)
Filed on Dec. 29, 2020, as Appl. No. 17/136,355.
Application 17/136,355 is a continuation of application No. 16/428,412, filed on May 31, 2019, granted, now 10,874,345.
Application 16/428,412 is a continuation of application No. 15/998,491, filed on Aug. 16, 2018, abandoned.
Claims priority of provisional application 62/547,710, filed on Aug. 18, 2017.
Prior Publication US 2021/0161464 A1, Jun. 3, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/08 (2006.01); A61B 5/024 (2006.01); A61B 5/06 (2006.01); A61B 5/01 (2006.01); A61B 5/145 (2006.01); A61B 5/369 (2021.01); A61B 5/389 (2021.01)
CPC A61B 5/4815 (2013.01) [A61B 5/0205 (2013.01); A61B 5/4818 (2013.01); A61B 5/7264 (2013.01); A61B 5/7267 (2013.01); A61B 5/01 (2013.01); A61B 5/02405 (2013.01); A61B 5/02427 (2013.01); A61B 5/067 (2013.01); A61B 5/082 (2013.01); A61B 5/0816 (2013.01); A61B 5/14532 (2013.01); A61B 5/14539 (2013.01); A61B 5/14542 (2013.01); A61B 5/369 (2021.01); A61B 5/389 (2021.01); A61B 5/4809 (2013.01); A61B 5/4812 (2013.01); A61B 5/681 (2013.01); A61B 2562/0219 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
determining a sleep period of a user using at least motion data of the user captured by one or more motion sensors;
determining, for the sleep period of the user, breathing disturbance data based at least in part on a decrease in blood oxygenation reflected in photoplethysmographic (PPG) data captured by one or more PPG sensors of a wearable device configured to be worn by the user;
calculating a sleep fitness score for the user over the sleep period, based at least in part on by classifying a plurality of temporal windows within the sleep period as representing disturbed breathing for the user or not breathing disturbed for the user according to the breathing disturbance data;
adjusting a duration of each of the plurality of temporal windows based on a sleeping or breathing pattern of the user; and
providing, for presentation on a display device, at least one of the sleep fitness score or the breathing disturbance data.