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:
May. 20, 2025

Filed:

Oct. 02, 2023
Applicant:

Medtronic, Inc., Minneapolis, MN (US);

Inventors:

Tarek D. Haddad, Minneapolis, MN (US);

Niranjan Chakravarthy, Singapore, SG;

Donald R. Musgrove, Minneapolis, MN (US);

Andrew Radtke, Minneapolis, MN (US);

Eduardo N. Warman, Maple Grove, MN (US);

Rodolphe Katra, Blaine, MN (US);

Lindsay A. Pedalty, Minneapolis, MN (US);

Assignee:

Medtronic, Inc., Minneapolis, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/07 (2006.01); A61B 5/339 (2021.01); A61B 5/349 (2021.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 5/076 (2013.01); A61B 5/339 (2021.01); A61B 5/349 (2021.01); A61B 5/686 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); A61B 5/7267 (2013.01);
Abstract

Techniques that include applying machine learning models to episode data, including a cardiac electrogram, stored by a medical device are disclosed. In some examples, based on the application of one or more machine learning models to the episode data, processing circuitry derives, for each of a plurality of arrhythmia type classifications, class activation data indicating varying likelihoods of the classification over a period of time associated with the episode. The processing circuitry may display a graph of the varying likelihoods of the arrhythmia type classifications over the period of time. In some examples, processing circuitry may use arrhythmia type likelihoods and depolarization likelihoods to identify depolarizations, e.g., QRS complexes, during the episode.


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