WO2020248847A1 - Procédé et dispositif intelligents de détection de maladie cardiaque et support de stockage lisible par ordinateur - Google Patents

Procédé et dispositif intelligents de détection de maladie cardiaque et support de stockage lisible par ordinateur Download PDF

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WO2020248847A1
WO2020248847A1 PCT/CN2020/093545 CN2020093545W WO2020248847A1 WO 2020248847 A1 WO2020248847 A1 WO 2020248847A1 CN 2020093545 W CN2020093545 W CN 2020093545W WO 2020248847 A1 WO2020248847 A1 WO 2020248847A1
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data set
training
sound signal
source data
recall rate
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PCT/CN2020/093545
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Chinese (zh)
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王健宗
彭俊清
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平安科技（深圳）有限公司
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00—Instruments for auscultation
    • A61B7/02—Stethoscopes
    • A61B7/04—Electric stethoscopes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12—Classification; Matching

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Evolutionary Biology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Acoustics & Sound (AREA)
  • Surgery (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Databases & Information Systems (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Probability & Statistics with Applications (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

La présente invention concerne une technologie d'intelligence artificielle et porte sur un procédé intelligent de détection de maladie cardiaque consistant à : acquérir un ensemble de données constitué de signaux sonores cardiaques d'un patient souffrant d'une maladie cardiaque, établir des étiquettes pour l'ensemble de données afin de générer un ensemble d'étiquettes, et classifier l'ensemble de données selon l'ensemble d'étiquettes ; réaliser un traitement de normalisation sur l'ensemble de données classifié de façon à obtenir un ensemble de données source et à le stocker dans une base de données ; entraîner un modèle de classification de combinaison pré-construit à l'aide de l'ensemble de données source de manière à obtenir une valeur d'entraînement, calculer un taux de rappel moyen non pondéré de la valeur d'entraînement, et lorsque le taux de rappel moyen non pondéré est supérieur à un seuil prédéfini, achever l'entraînement du modèle de classification de combinaison ; et entrer les données de signaux sonores cardiaques d'utilisateur à détecter dans le modèle de classification de combinaison entraîné et détecter un utilisateur souffrant potentiellement d'une maladie cardiaque. La présente invention concerne en outre un procédé de détection intelligent de maladie cardiaque et un support de stockage lisible par ordinateur. La présente invention réalise la détection précise de maladies cardiaques.
PCT/CN2020/093545 2019-06-14 2020-05-29 Procédé et dispositif intelligents de détection de maladie cardiaque et support de stockage lisible par ordinateur WO2020248847A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910520758.0A CN110363090A (zh) 2019-06-14 2019-06-14 智能心脏疾病检测方法、装置及计算机可读存储介质
CN201910520758.0 2019-06-14

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WO2020248847A1 true WO2020248847A1 (fr) 2020-12-17

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110363090A (zh) * 2019-06-14 2019-10-22 平安科技（深圳）有限公司 智能心脏疾病检测方法、装置及计算机可读存储介质
CN110942086B (zh) * 2019-10-30 2024-04-23 平安科技（深圳）有限公司 数据预测优化方法、装置、设备及可读存储介质
CN111696663A (zh) * 2020-05-26 2020-09-22 平安科技（深圳）有限公司 疾病风险的分析方法、装置、电子设备及计算机存储介质
CN112949639B (zh) * 2021-01-26 2023-09-12 浙江大学医学院附属儿童医院 一种先天性心脏病心音智能分割分类算法、装置及存储介质
CN113744287B (zh) * 2021-10-13 2022-08-23 推想医疗科技股份有限公司 一种图像处理方法、装置、电子设备及存储介质

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US9949714B2 (en) * 2015-07-29 2018-04-24 Htc Corporation Method, electronic apparatus, and computer readable medium of constructing classifier for disease detection
CN107529645B (zh) * 2017-06-29 2019-09-10 重庆邮电大学 一种基于深度学习的心音智能诊断系统及方法
KR102078525B1 (ko) * 2017-11-22 2020-02-19 서울대학교병원 스마트장치를 이용한 심혈관 질환의 진단정보 제공방법 및 이를 위한 심음 애플리케이션
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US9900747B1 (en) * 2017-05-16 2018-02-20 Cambridge Mobile Telematics, Inc. Using telematics data to identify a type of a trip
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