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. 22, 2016

Filed:

Aug. 19, 2013
Applicant:

Analytics for Life, Ganaoque, CA;

Inventors:

Sunny Gupta, Amherstview, CA;

Mohsen Najafi Yazdi, Kingston, CA;

Timothy William Fawcett Burton, Ottawa, CA;

Shyamlal Ramchandani, Kingston, CA;

Derek Vincent Exner, Calgary, CA;

Assignee:

ANALYTICS FOR LIFE, Ganaoque, Ontario, CA;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/044 (2006.01); A61B 5/0205 (2006.01); A61B 5/04 (2006.01); A61B 5/1455 (2006.01); A61B 5/021 (2006.01);
U.S. Cl.
CPC ...
A61B 5/044 (2013.01); A61B 5/0205 (2013.01); A61B 5/04017 (2013.01); A61B 5/14551 (2013.01); A61B 5/021 (2013.01);
Abstract

The present disclosure uses physiological data, ECG signals as an example, to evaluate cardiac structure and function in mammals. Two approaches are presented, e.g., a model-based analysis and a space-time analysis. The first method uses a modified Matching Pursuit (MMP) algorithm to find a noiseless model of the ECG data that is sparse and does not assume periodicity of the signal. After the model is derived, various metrics and subspaces are extracted to image and characterize cardiovascular tissues using complex-sub-harmonic-frequencies (CSF) quasi-periodic and other mathematical methods. In the second method, space-time domain is divided into a number of regions, the density of the ECG signal is computed in each region and inputted into a learning algorithm to image and characterize the tissues.


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