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. 14, 2023

Filed:

Dec. 17, 2019
Applicants:

Imec Vzw, Leuven, BE;

Stichting Imec Nederland, AE Eindhoven, NL;

Regents of the University of Minnesota;

Inventors:

Dwaipayan Biswas, Leuven, BE;

Luke Everson, Leuven, BE;

Mario Konijnenburg, Leuven, BE;

Christiaan Van Hoof, Leuven, BE;

Nick Van Helleputte, Leuven, BE;

Assignees:

IMEC VZW, Leuven, BE;

STICHTING IMEC NEDERLAND, Eindhoven, NI;

REGENTS OF THE UNIVERSITY OF MINNESOTA, Minneapolis, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/024 (2006.01); A61B 5/327 (2021.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); A61B 5/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/7278 (2013.01); A61B 5/02416 (2013.01); A61B 5/02438 (2013.01); A61B 5/681 (2013.01); A61B 5/327 (2021.01); A61B 5/7207 (2013.01); A61B 5/7267 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01);
Abstract

A method of generating a model for generating a synthetic electrocardiography (ECG) signal comprises: receiving subject-specific training data for machine learning, said training data comprising a photoplethysmography (PPG) signal acquired from the subject and an ECG signal acquired from the subject, wherein the ECG signal provides a ground truth of the subject for associating the ECG signal with the PPG signal; using associated pairs of a time-series of the PPG signal and a corresponding time-series of the ECG signal as input to a deep neural network, DNN; and determining, through the DNN, a subject-specific model relating the PPG signal of the subject to the ECG signal of the subject for converting the PPG signal to a synthetic ECG signal using the subject-specific model.


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