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. 03, 2022

Filed:

Dec. 14, 2018
Applicant:

Mayo Foundation for Medical Education and Research, Rochester, MN (US);

Inventors:

Itzhak Zachi Attia, Rochester, MN (US);

Paul A. Friedman, Rochester, MN (US);

Samuel J. Asirvatham, Rochester, MN (US);

Peter A. Noseworthy, Rochester, MN (US);

Suraj Kapa, Rochester, MN (US);

Francisco Lopez-Jimenez, Rochester, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06N 3/08 (2006.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01); A61B 5/366 (2021.01); A61B 5/024 (2006.01); A61B 5/35 (2021.01); A61B 5/316 (2021.01); A61B 5/346 (2021.01);
U.S. Cl.
CPC ...
A61B 5/7275 (2013.01); A61B 5/366 (2021.01); A61B 5/4064 (2013.01); A61B 5/7264 (2013.01); A61B 5/7267 (2013.01); A61B 5/7285 (2013.01); G06N 3/08 (2013.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 5/0006 (2013.01); A61B 5/02405 (2013.01); A61B 5/316 (2021.01); A61B 5/346 (2021.01); A61B 5/35 (2021.01); A61B 5/7282 (2013.01);
Abstract

Apparatuses and methods are provided to predict or diagnose an ischemic event, such as a stroke or a transient ischemic attack (TIA). A machine-learning model such as a neural network is generated that allows for recognition of an ECG consistent with an ischemic event. A system is trained and used to process a recording of ECG data from a patient to generate a prediction indicating a likelihood that the patient will experience a stroke. In other examples, a system is trained and used to process a recording of ECG data from a patient and detect an ischemic event for the patient who did not appear to have such an ischemic event.


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