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:
Oct. 18, 2022

Filed:

Dec. 30, 2019
Applicant:

Stmicroelectronics S.r.l., Agrate Brianza, IT;

Inventors:

Francesco Rundo, Gravina di Catania, IT;

Francesca Trenta, Camporotondo Etneo, IT;

Sabrina Conoci, Tremestieri Etneo, IT;

Sebastiano Battiato, Aci Catena, IT;

Assignee:

STMicroelectronics S.R.L., Agrate Brianza, IT;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 22/00 (2006.01); A61B 5/18 (2006.01); B60W 60/00 (2020.01); A61B 5/024 (2006.01); A61B 5/0255 (2006.01); A61B 5/00 (2006.01); B60W 40/08 (2012.01); B60W 50/14 (2020.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06V 20/59 (2022.01); G06V 40/16 (2022.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
A61B 5/18 (2013.01); A61B 5/0255 (2013.01); A61B 5/02405 (2013.01); A61B 5/02416 (2013.01); A61B 5/6893 (2013.01); A61B 5/6898 (2013.01); A61B 5/7267 (2013.01); A61B 5/7278 (2013.01); A61B 5/746 (2013.01); B60W 40/08 (2013.01); B60W 50/14 (2013.01); B60W 60/0051 (2020.02); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06V 20/597 (2022.01); G06V 40/165 (2022.01); G06V 40/166 (2022.01); G06V 40/167 (2022.01); A61B 5/0077 (2013.01); A61B 2576/02 (2013.01); B60W 2050/143 (2013.01); G06K 9/6262 (2013.01); G06N 3/0454 (2013.01);
Abstract

A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.


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