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:
Nov. 10, 2020

Filed:

Oct. 30, 2012
Applicant:

The Johns Hopkins University, Baltimore, MD (US);

Inventors:

Fijoy Vadakkumpadan, Baltimore, MD (US);

Hermenegild Arevalo, Baltimore, MD (US);

Natalia Trayanova, Baltimore, MD (US);

Katherine Wu, Bel Air, MD (US);

Assignee:

The Johns Hopkins University, Baltimore, MD (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06T 7/11 (2017.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); G16H 30/40 (2018.01); A61B 6/00 (2006.01); G16H 20/30 (2018.01); G16H 20/40 (2018.01);
U.S. Cl.
CPC ...
A61B 5/7275 (2013.01); G06T 7/11 (2017.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); A61B 6/503 (2013.01); G06K 2209/051 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20128 (2013.01); G06T 2207/30048 (2013.01); G16H 20/30 (2018.01); G16H 20/40 (2018.01);
Abstract

A method of determining a likelihood of an occurrence of a cardiac arrhythmia in a patient includes receiving three-dimensional imaging data of said patient's heart, constructing a whole-heart model for simulating at least one of electrophysiological activity or electromechanical activity of the patient's heart using the three-dimensional imaging data, simulating a response of the patient's heart to each of a plurality of stimulations to a corresponding plurality of different locations within the patient's heart using the whole-heart model, classifying each simulation outcome for each stimulation as one of a normal heart rhythm or a cardiac arrhythmia, calculating a likelihood index based on results of the classifying, and determining the likelihood of the occurrence of the cardiac arrhythmia in the patient based on the likelihood index. Software and data processing systems that implement the above methods are also provided.


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