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. 22, 2019

Filed:

Dec. 08, 2015
Applicant:

Oxehealth Limited, Oxford, Oxfordshire, GB;

Inventor:

Alessandro Guazzi, Oxford, GB;

Assignee:

OXEHEALTH LIMITED, Oxford, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/026 (2006.01); A61B 5/0295 (2006.01); A61B 5/08 (2006.01); G06K 9/46 (2006.01); A61B 5/024 (2006.01); A61B 5/11 (2006.01); A61B 5/113 (2006.01);
U.S. Cl.
CPC ...
A61B 5/7278 (2013.01); A61B 5/0075 (2013.01); A61B 5/0077 (2013.01); A61B 5/0205 (2013.01); A61B 5/0261 (2013.01); A61B 5/0295 (2013.01); A61B 5/6898 (2013.01); A61B 5/7246 (2013.01); A61B 5/7253 (2013.01); A61B 5/7257 (2013.01); A61B 5/02427 (2013.01); A61B 5/0816 (2013.01); A61B 5/1102 (2013.01); A61B 5/113 (2013.01); A61B 5/1128 (2013.01); A61B 5/7203 (2013.01); A61B 2562/0233 (2013.01); A61B 2576/00 (2013.01); G06K 9/4652 (2013.01);
Abstract

Autoregressive modelling is used to identify periodic physiological signals such as heart rate or breathing rate in an image of a subject. The color channels of a video signal are windowed and normalised by dividing each signal by its mean. The ratios of the normalised channels to each other are found and principal component analyses conducted on the ratio signals. The most periodic of the principal components is selected and autoregressive models of one or more different orders are fitted to the selected component. Poles of the fitted autoregressive models of different orders are taken and pure sinusoids corresponding to the frequency of each pole are generated and their cross-correlation with the original component is found. Whichever pole corresponds to the sinusoid with the maximum cross-correlation is selected as the best estimate of the frequency of periodic physiological information in the original video signal. The method may be used in a patient monitor or in a webcam-enabled device such as a tablet computer or smart phone.


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