Automated Detection of Breathing Disturbances

Abstract

Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

1 .- 20 . (canceled) 
     
     
         21 . A computer-implemented method, comprising:
 determining a sleep period of a user based on motion data of the user captured by one or more motion sensors;   determining, for the sleep period of the user, breathing disturbance data based on photoplethysmographic (PPG) data captured by one or more PPG sensors;   calculating a sleep fitness score associated with the sleep period, based on a classification of a plurality of temporal windows within the sleep period as representing disturbed breathing for the user or not breathing disturbed for the user, wherein the classification of a temporal window among the plurality of temporal windows is determined based on a baseline heart rate of the user and the breathing disturbance data; and   providing, for presentation on a display device, at least one of the sleep fitness score or the breathing disturbance data.