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.

Date of Patent:
Aug. 13, 2019

Filed:

Apr. 10, 2014
Applicant:

Fitbit, Inc., San Francisco, CA (US);

Inventors:

Jung Ook Hong, Emeryville, CA (US);

Andrew Cole Axley, Oakland, CA (US);

Shelten Gee Jao Yuen, Berkeley, CA (US);

Assignee:

Fitbit, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16B 99/00 (2019.01); A61B 5/11 (2006.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); G01C 22/00 (2006.01); G06F 19/00 (2018.01); A61B 5/024 (2006.01); G16H 20/40 (2018.01);
U.S. Cl.
CPC ...
G16B 99/00 (2019.02); A61B 5/0205 (2013.01); A61B 5/112 (2013.01); A61B 5/1112 (2013.01); A61B 5/1118 (2013.01); A61B 5/1121 (2013.01); A61B 5/1123 (2013.01); A61B 5/4815 (2013.01); A61B 5/4866 (2013.01); A61B 5/681 (2013.01); A61B 5/6824 (2013.01); A61B 5/721 (2013.01); A61B 5/725 (2013.01); A61B 5/726 (2013.01); A61B 5/7207 (2013.01); A61B 5/7235 (2013.01); A61B 5/7257 (2013.01); A61B 5/7264 (2013.01); A61B 5/7282 (2013.01); G01C 22/006 (2013.01); A61B 5/024 (2013.01); A61B 5/7221 (2013.01); A61B 5/7253 (2013.01); G06F 19/3481 (2013.01); G16H 20/40 (2018.01);
Abstract

The disclosure provides BMDs that have multiple device modes depending on operational conditions of the devices, e.g., motion intensity, device placement, and/or activity type. The device modes are associated with various data processing algorithms. In some embodiments, the BMD is implemented as a wrist-worn or arm-worn device. In some embodiments, methods for tracking physiological metrics using the BMDs are provided. In some embodiments, the process or the BMD applies a time domain analysis on data provided by a sensor of the BMD when the data has a high signal (e.g., high signal-to-noise ratio), and applies a frequency domain analysis on the data when the data has a low signal, which contributes to improved accuracy and speed of biometric data.


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