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:
Mar. 07, 2023

Filed:

Oct. 16, 2020
Applicant:

Movano Inc., San Ramon, CA (US);

Inventor:

Michael A. Leabman, San Ramon, CA (US);

Assignee:

Movano Inc., Pleasanton, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/0245 (2006.01); A61B 5/05 (2021.01); A61B 5/145 (2006.01); H01Q 21/06 (2006.01); H01Q 1/27 (2006.01); A61B 5/021 (2006.01); A61B 5/024 (2006.01); G01S 7/02 (2006.01); G01S 13/88 (2006.01); G06N 20/00 (2019.01); A61B 5/022 (2006.01); G01S 13/87 (2006.01); G06F 1/16 (2006.01); G01S 13/53 (2006.01); A61B 5/0507 (2021.01); H01Q 1/22 (2006.01);
U.S. Cl.
CPC ...
A61B 5/0245 (2013.01); A61B 5/021 (2013.01); A61B 5/022 (2013.01); A61B 5/02141 (2013.01); A61B 5/02438 (2013.01); A61B 5/02444 (2013.01); A61B 5/05 (2013.01); A61B 5/0507 (2013.01); A61B 5/14532 (2013.01); A61B 5/489 (2013.01); A61B 5/681 (2013.01); A61B 5/6898 (2013.01); A61B 5/725 (2013.01); A61B 5/7257 (2013.01); A61B 5/7267 (2013.01); A61B 5/742 (2013.01); G01S 7/025 (2013.01); G01S 13/53 (2013.01); G01S 13/87 (2013.01); G01S 13/88 (2013.01); G06F 1/163 (2013.01); G06N 20/00 (2019.01); H01Q 1/2283 (2013.01); H01Q 1/273 (2013.01); H01Q 21/061 (2013.01); A61B 5/02108 (2013.01); A61B 2562/0228 (2013.01); G01S 7/028 (2021.05); H01Q 21/065 (2013.01);
Abstract

Methods for training a model for use in monitoring a health parameter in a person are disclosed. In an embodiment, a method involves monitoring a blood pressure of a person using a control blood pressure monitoring system, receiving control data that corresponds to the monitoring using the control blood pressure monitoring system, receiving stepped frequency scanning data that corresponds to radio waves that have reflected from blood in a blood vessel of the person, wherein the stepped frequency scanning data is collected through multiple receive antennas over a range of frequencies, generating training data by combining the control data with the stepped frequency scanning data in a time synchronous manner, and training a model using the training data to produce a trained model, wherein the trained model correlates stepped frequency scanning data to values that are indicative of a blood pressure of a person.


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