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1. WO2020091229 - METHOD AND SYSTEM FOR RECOGNIZING ARRHYTHMIA BY USING ARTIFICIAL NEURAL NETWORKS, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM

Publication Number WO/2020/091229
Publication Date 07.05.2020
International Application No. PCT/KR2019/012478
International Filing Date 25.09.2019
IPC
G06K 9/00 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06N 3/04 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architecture, e.g. interconnection topology
G06N 3/08 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
Applicants
  • 주식회사 휴이노 HUINNO, CO., LTD. [KR]/[KR]
Inventors
  • 길영준 GIL, Yeong Joon
  • 정성훈 JUNG, Sung Hoon
Agents
  • 모아특허법인 MOA INTELLECTUAL PROPERTY LAW FIRM
Priority Data
10-2018-013154531.10.2018KR
Publication Language Korean (KO)
Filing Language Korean (KO)
Designated States
Title
(EN) METHOD AND SYSTEM FOR RECOGNIZING ARRHYTHMIA BY USING ARTIFICIAL NEURAL NETWORKS, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM
(FR) PROCÉDÉ ET SYSTÈME DE RECONNAISSANCE D’ARYTHMIE PAR DES RÉSEAUX NEURONAUX ARTIFICIELS, ET SUPPORT D’INFORMATIONS NON TRANSITOIRE LISIBLE PAR ORDINATEUR
(KO) 인공 신경망을 이용하여 부정맥을 인식하기 위한 방법, 시스템 및 비일시성의 컴퓨터 판독 가능한 기록 매체
Abstract
(EN)
According to an embodiment of the present invention, provided is a method for recognizing arrhythmia by using artificial neural networks, the method comprising the steps of: performing a first determination of determining whether at least some of target electrocardiogram signals correspond to an arrhythmic condition by analyzing the target electrocardiogram signals of a subject by using a first artificial neural network trained on the basis of at least one of data about normal electrocardiogram signals and data about arrhythmic electrocardiogram signals; and when the at least some of the target electrocardiogram signals are determined to correspond to an arrhythmic condition, performing a second determination of determining which type of arrhythmic condition the at least some of the target electrocardiogram signals correspond to by analyzing the target electrocardiogram signals by using a second artificial neural network trained on the basis of data about a plurality of types of arrhythmic electrocardiogram signal.
(FR)
Un mode de réalisation de la présente invention concerne un procédé de reconnaissance d’une arythmie à l’aide de réseaux neuronaux artificiels. Ledit procédé comprend les étapes consistant à : réaliser une première détermination consistant à déterminer si au moins certains signaux d’électrocardiogramme cibles correspondent à une condition d’arythmie par une analyse des signaux d’électrocardiogramme cibles d’un patient à l’aide d’un premier réseau neuronal artificiel formé sur la base de données relatives à des signaux d’électrocardiogramme normaux et/ou de données relatives à des signaux d’électrocardiogramme arythmiques ; et lorsqu’il est déterminé que lesdits certains signaux d’électrocardiogramme correspondent à une condition d’arythmie, réaliser une seconde détermination consistant à déterminer le type de condition d’arythmie auquel lesdits certains signaux d’électrocardiogramme cibles correspondent pour analyser les signaux d’électrocardiogramme cibles à l’aide d’un second réseau neuronal artificiel formé sur la base de données liées à une pluralité de types de signaux d’électrocardiogramme arythmiques.
(KO)
본 발명의 일 태양에 따르면, 인공 신경망을 이용하여 부정맥을 인식하기 위한 방법으로서, 정상 상태 심전도 신호에 관한 데이터 및 부정맥 상태 심전도 신호에 관한 데이터 중 적어도 하나에 기초하여 학습되는 제1 인공 신경망을 이용하여 피측정자의 대상 심전도 신호를 분석함으로써, 상기 대상 심전도 신호 중 적어도 일부가 부정맥 상태에 해당하는지 여부를 결정하는 제1 결정을 수행하는 단계, 및 상기 대상 심전도 신호 중 적어도 일부가 부정맥 상태에 해당하는 것으로 판단되면, 복수의 종류의 부정맥 상태 심전도 신호에 관한 데이터에 기초하여 학습되는 제2 인공 신경망을 이용하여 상기 대상 심전도 신호를 분석함으로써, 상기 대상 심전도 신호 중 적어도 일부가 어떤 종류의 부정맥 상태에 해당하는지를 결정하는 제2 결정을 수행하는 단계를 포함하는 방법이 제공된다.
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