The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 03, 2025
Filed:
Apr. 12, 2024
Applicant:
Whoop, Inc., Boston, MA (US);
Inventors:
John Vincenzo Capodilupo, Boston, MA (US);
Behnoosh Tavakoli, Needham, MA (US);
Mostafa Ghannad-Rezaie, Malden, MA (US);
Assignee:
Whoop, Inc., Boston, MA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); G06F 18/243 (2023.01); A61B 5/0245 (2006.01); A61B 5/0533 (2021.01); A61B 5/08 (2006.01); A61B 5/11 (2006.01); A61B 5/145 (2006.01);
U.S. Cl.
CPC ...
A61B 5/7267 (2013.01); A61B 5/02055 (2013.01); A61B 5/02416 (2013.01); A61B 5/02438 (2013.01); A61B 5/681 (2013.01); A61B 5/7221 (2013.01); G06F 18/24323 (2023.01); A61B 5/0022 (2013.01); A61B 5/02405 (2013.01); A61B 5/0245 (2013.01); A61B 5/0533 (2013.01); A61B 5/0816 (2013.01); A61B 5/1118 (2013.01); A61B 5/14542 (2013.01); A61B 5/4812 (2013.01); A61B 5/4815 (2013.01); A61B 5/4866 (2013.01); A61B 5/6831 (2013.01); A61B 2560/0209 (2013.01); A61B 2560/0223 (2013.01); A61B 2560/0242 (2013.01); A61B 2562/0219 (2013.01);
Abstract
Sleep need for a user is assessed using continuous physiological data from a wearable monitor. In particular, by calculating a first sleep debt metric based on user strain and a second sleep debt metric based on accumulated sleep debt, an objective metric can be obtained that estimates an amount of sleep needed by the user in a next sleep period. This approach takes advantage of multiple modes of information embedded in the physiological data, such as a sleep and exercise patterns for a user over one or more preceding days.