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:
Feb. 07, 2023

Filed:

Oct. 08, 2019
Applicant:

GE Precision Healthcare Llc, Milwaukee, WI (US);

Inventors:

Long Yu, Wauwatosa, WI (US);

Joel Qiuzhen Xue, Wauwatosa, WI (US);

Gordon Ian Rowlandson, Wauwatosa, WI (US);

Assignee:

GE Precision Healthcare LLC, Milwaukee, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/0255 (2006.01); A61B 5/352 (2021.01); A61B 5/339 (2021.01); A61B 5/366 (2021.01); A61B 5/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/352 (2021.01); A61B 5/339 (2021.01); A61B 5/366 (2021.01); A61B 5/7267 (2013.01);
Abstract

Methods and systems are provided for automatically diagnosing an electrocardiogram (ECG) using a hybrid system comprising a rule-based system and one or more deep neural networks. In one embodiment, by mapping ECG data to a plurality of features using a convolutional neural network, mapping the plurality of features to a preliminary diagnosis using a decision network, and determining a diagnosis based on the ECG data and the preliminary diagnosis using the rule-based system, a more accurate diagnosis may be determined. In another example, by incorporating both a rule-based system and one or more deep neural networks into the hybrid system, the hybrid system may be more easily adapted for use in various contexts/communities, as the one or more deep learning networks may be trained using context/community specific ECG data.


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