WO2023022521A8 - 딥러닝기반 모델 및 원칙기반 모델 통합 심전도 판독 시스템 - Google Patents

딥러닝기반 모델 및 원칙기반 모델 통합 심전도 판독 시스템 Download PDF

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WO2023022521A8
WO2023022521A8 PCT/KR2022/012300 KR2022012300W WO2023022521A8 WO 2023022521 A8 WO2023022521 A8 WO 2023022521A8 KR 2022012300 W KR2022012300 W KR 2022012300W WO 2023022521 A8 WO2023022521 A8 WO 2023022521A8
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disease
electrocardiogram
information
rule
reading
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WO2023022521A1 (ko
WO2023022521A9 (ko
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준명권
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주식회사 메디컬에이아이
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Priority to CN202280059898.2A priority patent/CN117915835A/zh
Priority to JP2024508662A priority patent/JP2024530218A/ja
Publication of WO2023022521A1 publication Critical patent/WO2023022521A1/ko
Publication of WO2023022521A9 publication Critical patent/WO2023022521A9/ko
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    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A—HUMAN NECESSITIES
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    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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    • A—HUMAN NECESSITIES
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  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
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Abstract

본 발명은, 1유도 이상의 심전도를 측정하여 심전도 데이터를 생성하는 심전도 측정부(110), 1유도 이상의 심전도 및 이에 상응하는 질환의 학습데이터셋으로 학습하여 구축된 딥러닝 알고리즘을 통해, 심전도 측정부(110)로부터 입력된 심전도 데이터로부터 질환을 진단하고 예측하여 질환예측정보를 생성하는, 딥러닝기반 예측부(120), 심전도 데이터 및 이에 상응하는 질환정보로 구축된 지식베이스와 추론규칙으로 구성된 원칙기반 알고리즘을 통해서, 심전도 측정부(110)로부터 입력된 심전도 데이터로부터 질환에 대해 추론하여 질환추론정보를 생성하는, 원칙기반 추론부(130), 및 질환예측정보 및 질환추론정보를 통합 분석하여 질환의 판독을 수행하여 판독정보를 생성하고, 질환 진단의 이유와 근거에 대한 진단정보를 제공하도록 하는, 통합 판독부(140)를 포함하여, 심전도의 오판독을 방지하고 신속하고 정확한 판독이 가능하도록 하는, 딥러닝기반 모델 및 원칙기반 모델 통합 심전도 판독 시스템을 개시한다.
PCT/KR2022/012300 2021-08-17 2022-08-17 딥러닝기반 모델 및 원칙기반 모델 통합 심전도 판독 시스템 WO2023022521A1 (ko)

Priority Applications (3)

Application Number Priority Date Filing Date Title
EP22858758.0A EP4371491A1 (en) 2021-08-17 2022-08-17 Electrocardiogram reading system in which deep learning-based model and rule-based model are integrated
CN202280059898.2A CN117915835A (zh) 2021-08-17 2022-08-17 基于深度学习的模型及基于规则的模型统合型心电图判读系统
JP2024508662A JP2024530218A (ja) 2021-08-17 2022-08-17 ディープラーニングに基づくモデル及び規則に基づくモデル統合心電図判読システム

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KR10-2021-0107777 2021-08-17
KR1020210107777A KR20230025962A (ko) 2021-08-17 2021-08-17 딥러닝기반 모델 및 원칙기반 모델 통합 심전도 판독 시스템

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WO2023022521A1 WO2023022521A1 (ko) 2023-02-23
WO2023022521A9 WO2023022521A9 (ko) 2023-04-13
WO2023022521A8 true WO2023022521A8 (ko) 2024-01-04

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JP (1) JP2024530218A (ko)
KR (1) KR20230025962A (ko)
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WO (1) WO2023022521A1 (ko)

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JP2002140685A (ja) * 2000-11-01 2002-05-17 Fuji Photo Film Co Ltd 画像管理システム及び画像管理方法
KR101836103B1 (ko) * 2016-03-15 2018-04-19 가톨릭관동대학교산학협력단 모바일 헬스케어 시스템 및 이를 이용한 컴포넌트 기반 모바일 헬스 애플리케이션 제공 시스템
KR102261408B1 (ko) * 2019-08-01 2021-06-09 동국대학교 산학협력단 의료영상을 이용한 질환정보 제공 방법
KR102471086B1 (ko) 2019-11-06 2022-11-25 메디팜소프트(주) Ai 기반 심전도 판독 시스템
KR20210058274A (ko) * 2019-11-14 2021-05-24 권준명 머신러닝을 기반으로 생성된 심전도표준데이터를 이용하여 사용자의 신체상태를 판단하는 심전도 측정 시스템 및 그 방법
JP7381301B2 (ja) * 2019-11-14 2023-11-15 日本光電工業株式会社 学習済みモデルの生成方法、学習済みモデルの生成システム、推論装置、およびコンピュータプログラム
KR102241799B1 (ko) 2020-08-06 2021-04-19 주식회사 에이티센스 심전도 신호의 분류 데이터를 제공하는 방법 및 전자 장치

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CN117915835A (zh) 2024-04-19
EP4371491A1 (en) 2024-05-22
WO2023022521A1 (ko) 2023-02-23
JP2024530218A (ja) 2024-08-16
WO2023022521A9 (ko) 2023-04-13
KR20230025962A (ko) 2023-02-24

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