公开(公告)号：US20230100365A1

公开(公告)日：2023-03-30

申请号：US17936378

申请日：2022-09-28

Applicant: Technion Research and Development Foundation Ltd.

Inventor： Yael Yaniv Schuster ,  Assaf Schuster ,  Vadim Gliner

IPC: G16H50/20 ,  G06T7/00 ,  A61B5/349

Abstract: A method for automatic determining of a state of a heart of a patient based on multiple-lead ECG information of the patient, the method includes (a) receiving the multiple-lead ECG information of the patient, by a computerized system; and (b) applying one or more machine learning processes on the multiple-lead ECG information of the patient to determine the state of a heart of the patient, wherein the state of the heart comprises at least one heart condition of multiple types of heart conditions. One, some or all of the one or more machine learning processes was trained using a dataset that comprises multiple computer generated images, the multiple computer generated images represent images acquired by an image acquisition process of ECG plots, wherein the ECG plots are generated based on digital multiple-lead ECG signals.