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. 20, 2020

Filed:

Jan. 23, 2017
Applicant:

Oxehealth Limited, Oxford, GB;

Inventors:

Nicholas Dunkley Hutchinson, Oxford, GB;

Simon Mark Chave Jones, Oxford, GB;

Muhammad Fraz, Oxford, GB;

Assignee:

OXEHEALTH LIMITED, London, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 5/024 (2006.01); A61B 5/00 (2006.01); G06T 7/00 (2017.01); G06T 7/246 (2017.01); G06T 7/269 (2017.01);
U.S. Cl.
CPC ...
A61B 5/02405 (2013.01); A61B 5/0077 (2013.01); A61B 5/02416 (2013.01); A61B 5/7485 (2013.01); G06T 7/0016 (2013.01); G06T 7/246 (2017.01); G06T 7/269 (2017.01); A61B 2576/023 (2013.01); G06K 9/00261 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/30076 (2013.01);
Abstract

A method and apparatus for estimating heart rate of a subject from a video image of the subject. Regions of interest are generated by: detecting and tracking feature points through the video image sequence, triangulating the feature points and generating square regions of interest corresponding to the in-circles of the triangles; or, according to size and location probability distributions which are defined to have a high probability for image areas away from strong intensity gradients and which generate good quality signals. In an alternative embodiment, the intensity variations from the square regions of interest through the frame sequence are taken as time series signals and those signals which have a strong peak in the power spectrum are selected and subject to principal component analysis. The principal component with a highest signal quality is selected and its frequency is found and used to estimate the heart rate.


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