Automated detection of breathing disturbances

US10874345B2 · kind B2 · utility

Assignee

• FITBIT, LLC · US

Inventors

• Suraj Gowda · Albany, US
• Conor Heneghan · Goatstown, IE
• Shelten Gee Jao Yuen · Berkeley, US
• Anjian Wu · San Francisco, US
• Daniel Joel Freschl · Berkeley, US
• Peter W. Richards · San Francisco, US
• Chris H. Sarantos · San Francisco, US
• Jonathan Wonwook Kim · Rancho Palos Verdes, US

Key dates

• Filing date: May 31, 2019
• Grant date: Dec 29, 2020
• Expiry date: May 31, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/70
• WIPO field: Medical technology
• WIPO sector: Instruments

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.