Processing

Please wait...

Settings

Settings

Goto Application

1. WO2020111464 - METHOD FOR IDENTIFYING PRETERM BIRTH RISK ON BASIS OF UTERUS ELECTROMYOGRAM

Publication Number WO/2020/111464
Publication Date 04.06.2020
International Application No. PCT/KR2019/011528
International Filing Date 06.09.2019
IPC
A61B 5/00 2006.01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
A61B 5/0476 2006.01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
04Measuring bioelectric signals of the body or parts thereof
0476Electroencephalography
CPC
A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Detecting, measuring or recording for diagnostic purposes
A61B 5/0476
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Detecting, measuring or recording for diagnostic purposes
04Measuring bioelectric signals of the body or parts thereof
0476Electroencephalography
Applicants
  • 전자부품연구원 KOREA ELECTRONICS TECHNOLOGY INSTITUTE [KR]/[KR]
Inventors
  • 조영창 JO, Young Chang
  • 홍혁기 HONG, Hyuck Ki
  • 최연식 CHOI, Yeon Shik
  • 정석원 JUNG, Suk Won
Agents
  • 남충우 NAM, Choong Woo
Priority Data
10-2018-014824127.11.2018KR
Publication Language Korean (KO)
Filing Language Korean (KO)
Designated States
Title
(EN) METHOD FOR IDENTIFYING PRETERM BIRTH RISK ON BASIS OF UTERUS ELECTROMYOGRAM
(FR) PROCÉDÉ D'IDENTIFICATION DE RISQUE DE NAISSANCE PRÉMATURÉE SUR LA BASE D'ÉLECTROMYOGRAMME UTÉRIN
(KO) 자궁 근전도 기반의 조산 위험도 식별방법
Abstract
(EN)
A method for determining a uterine contraction, an apparatus for determining a uterine contraction, and a method for identifying a preterm birth risk are provided. The method for determining a uterine contraction labels, in a uterus electromyographic signal, whether a uterus is contracts, divides the uterus electromyographic signal into a plurality of frequency band-specific signals, segments the divided signals on the basis of a predetermined time unit, normalizes the segmented signals, converts the segmented and normalized signals into image data of a frequency domain, and generates, through deep learning using the converted image data, a uterine contraction determination model for determining whether the uterus contracts on the basis of the uterus electromyographic signal, and thus can more easily and accurately predict whether the uterus is contracted and a preterm birth risk.
(FR)
L'invention concerne un procédé et un appareil pour déterminer une contraction utérine, et un procédé pour identifier un risque de naissance prématurée. Le procédé, visant à déterminer une contraction utérine, repère dans un signal électromyographique utérin, si l'utérus se contracte, divise le signal électromyographique utérin en une pluralité de signaux spécifiques de bande de fréquence, segmente les signaux divisés sur la base d'une unité de temps prédéterminée, normalise les signaux segmentés, convertit les signaux segmentés et normalisés en données d'image d'un domaine fréquentiel, et génère, par apprentissage profond à l'aide des données d'image converties, un modèle de détermination de contraction utérine pour déterminer si l'utérus se contracte sur la base du signal électromyographique utérin, et permet ainsi de prédire plus facilement et avec précision si l'utérus est contracté et s'il y a un risque de naissance prématurée.
(KO)
자궁수축 판단방법, 자궁수축 판단장치 및 조산 위험도 식별방법이 제공된다. 본 자궁수축 판단방법에 의하면, 자궁 근전도 신호에 자궁수축 여부를 라벨링하고, 자궁 근전도 신호를 복수개의 주파수 대역별 신호로 분리하며, 분리된 신호를 일정 시간 단위로 분할하고, 세그멘테이션된 신호를 정규화하며, 세그멘테이션 및 정규화된 신호를 주파수 영역의 이미지 데이터로 변환하고, 변환된 이미지 데이터를 이용한 딥러닝 학습을 통해, 자궁 근전도 신호에 기반하여 자궁수축 여부를 판단하는 자궁수축 판단모델을 생성할 수 있게 되어, 자궁수축 여부 및 조산 위험도를 더욱 쉽고 정확하게 예측할 수 있게 된다.
Also published as
Latest bibliographic data on file with the International Bureau