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:

Feb. 06, 2017
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Adrian F. Warner, Delafield, WI (US);

Daniel Richard Schneidewend, Menomonee Falls, WI (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 18/12 (2006.01); A61B 5/00 (2006.01); A61B 18/00 (2006.01); A61B 17/00 (2006.01); A61B 34/10 (2016.01);
U.S. Cl.
CPC ...
A61B 18/12 (2013.01); A61B 5/4848 (2013.01); A61B 2017/00199 (2013.01); A61B 2018/00577 (2013.01); A61B 2018/00642 (2013.01); A61B 2018/00648 (2013.01); A61B 2018/00666 (2013.01); A61B 2018/00702 (2013.01); A61B 2018/00779 (2013.01); A61B 2018/00797 (2013.01); A61B 2018/00839 (2013.01); A61B 2018/00875 (2013.01); A61B 2034/105 (2016.02);
Abstract

A method of identifying gaps between electrophysiology (EP) ablation points may comprise: obtaining a plurality of ablation points recorded from a completed electrophysiology ablation procedure; digitally mapping the plurality of ablation points to an anatomical model corresponding to the completed electrophysiology ablation procedure; calculating ablation gap probability distributions for each of the plurality of ablation points based on ablation tolerance variables associated with each of the plurality of ablation points; and overlaying the ablation gap probability distributions on to the digitally mapped plurality of ablation points on the anatomical model. In this way, ablation gaps may be non-invasively identified prior to patient discharge, thereby allowing for further EP treatment to remove the ablation gaps while reducing readmission rates. Furthermore, by representing ablation points using calculated ablation burn density distributions and ablation gap probabilities, the accuracy of identifying ablation gaps may be increased.


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