METHOD, PROGRAM, AND DEVICE FOR TRAINING NEURAL NETWORK MODEL BASED ON ELECTROCARDIOGRAM

Title:

METHOD, PROGRAM, AND DEVICE FOR TRAINING NEURAL NETWORK MODEL BASED ON ELECTROCARDIOGRAM

Document Type and Number:

WIPO Patent Application WO/2024/014821

Kind Code:

A1

Abstract:

Disclosed, according to one embodiment of the present disclosure, are a method, a program, and a device for training a neural network model based on an electrocardiogram, carried out by a computing device. The method may comprise the steps of: generating first electrocardiogram data by using an electrocardiogram simulator or a pre-trained electrocardiogram generation model; and, on the basis of the first electrocardiogram data, carrying out self-supervised learning-based first training of a neural network model which is used for determining the health status of a person.

Inventors:

KWON JOONMYOUNG (KR)
LEE BYEONGTAK (KR)
LIM SEONYU (KR)
KANG SEONMI (KR)

Application Number:

PCT/KR2023/009814

Publication Date:

January 18, 2024

Filing Date:

July 11, 2023

Export Citation:

Click for automatic bibliography generation Help

Assignee:

MEDICAL AI CO LTD (KR)

International Classes:

A61B5/319; A61B5/00; G06N3/042; G06N3/08; G16H50/20

Foreign References:

CN108714026A	2018-10-30
KR20210058676A	2021-05-24
KR20200041697A	2020-04-22
KR20220036292A	2022-03-22
KR20220059711A	2022-05-10

Attorney, Agent or Firm:

BEATBOARD IP LAW FIRM (KR)

Download PDF:

View/Download PDF PDF Help

Previous Patent: GRAPHENE-BASED SENSOR, MEASUREMENT DEVICE USING SAME, SPECIMEN MEASUREMENT METHOD, AND SPECIMEN ANAL...

Next Patent: PERCOLATABLE STIMULI-SENSITIVE COMPOSITE, FIBROUS ACTUATOR INCLUDING SAME AND ARTIFICIAL MUSCLE INCL...