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:
Dec. 27, 2022

Filed:

Jun. 08, 2018
Applicant:

Cambridge Heartwear Limited, Cambridge, GB;

Inventors:

James Charles, Cambridge, GB;

Rameen Shakur, Cambridge, GB;

Roberto Cipolla, Cambridge, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G16H 50/20 (2018.01); G16H 40/63 (2018.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); A61B 5/316 (2021.01); A61B 5/332 (2021.01); A61B 5/361 (2021.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 5/0006 (2013.01); A61B 5/316 (2021.01); A61B 5/332 (2021.01); A61B 5/361 (2021.01); A61B 5/7203 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G16H 40/63 (2018.01);
Abstract

A method of detecting abnormalities in ECG signals by providing an ECG signal to a neural network, performing a first series of convolution operations to a first subset of layers and in a final layer, and determining a plurality of preliminary classification estimates, each preliminary classification estimate corresponding with a time segment of the ECG signal. Furthermore, determining input data for a second subset of layers of the neural network by concatenating the preliminary classification with the output of a layer of the first subset of layers that precedes the final layer of the first subset of layers. Within the second subset of layers of the neural network, performing a second series of convolution operations. In a final layer of the second subset, determining plurality of final classification estimates, each final classification estimate corresponding with a time segment of the ECG signal.


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