CN111448614B - 用于分析超声心动图的方法和装置 - Google Patents

用于分析超声心动图的方法和装置 Download PDF

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CN111448614B
CN111448614B CN201880078066.9A CN201880078066A CN111448614B CN 111448614 B CN111448614 B CN 111448614B CN 201880078066 A CN201880078066 A CN 201880078066A CN 111448614 B CN111448614 B CN 111448614B
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echocardiograms
echocardiogram
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consecutive
computer
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CN111448614A (zh
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M·塞芬斯特
A·西泰克
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Koninklijke Philips NV
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • 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
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • 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
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Pathology (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Databases & Information Systems (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Molecular Biology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Psychiatry (AREA)
  • Physiology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)
  • Image Analysis (AREA)
  • Cardiology (AREA)
CN201880078066.9A 2017-11-02 2018-11-02 用于分析超声心动图的方法和装置 Active CN111448614B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201762580491P 2017-11-02 2017-11-02
US62/580,491 2017-11-02
PCT/EP2018/079963 WO2019086586A1 (en) 2017-11-02 2018-11-02 A method and apparatus for analysing echocardiograms

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CN111448614A CN111448614A (zh) 2020-07-24
CN111448614B true CN111448614B (zh) 2024-05-28

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US (1) US20210219922A1 (https=)
EP (1) EP3704707B1 (https=)
JP (1) JP7325411B2 (https=)
CN (1) CN111448614B (https=)
WO (1) WO2019086586A1 (https=)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11446009B2 (en) * 2018-12-11 2022-09-20 Eko.Ai Pte. Ltd. Clinical workflow to diagnose heart disease based on cardiac biomarker measurements and AI recognition of 2D and doppler modality echocardiogram images
US11931207B2 (en) * 2018-12-11 2024-03-19 Eko.Ai Pte. Ltd. Artificial intelligence (AI) recognition of echocardiogram images to enhance a mobile ultrasound device
US11301996B2 (en) * 2018-12-11 2022-04-12 Eko.Ai Pte. Ltd. Training neural networks of an automatic clinical workflow that recognizes and analyzes 2D and doppler modality echocardiogram images
US12322100B2 (en) * 2018-12-11 2025-06-03 Eko.Ai Pte. Ltd. Automatic clinical workflow that recognizes and analyzes 2D and doppler modality echocardiogram images for automated cardiac measurements and grading of aortic stenosis severity
US12400762B2 (en) * 2018-12-11 2025-08-26 Eko.Ai Pte. Ltd. Automatic clinical workflow that recognizes and analyzes 2D and doppler modality echocardiogram images for automated cardiac measurements and diagnosis of cardiac amyloidosis and hypertrophic cardiomyopathy
US12001939B2 (en) * 2018-12-11 2024-06-04 Eko.Ai Pte. Ltd. Artificial intelligence (AI)-based guidance for an ultrasound device to improve capture of echo image views

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5911133A (en) * 1997-10-22 1999-06-08 Rush-Presbyterian -St. Luke's Medical Center User interface for echocardiographic report generation
US6447450B1 (en) * 1999-11-02 2002-09-10 Ge Medical Systems Global Technology Company, Llc ECG gated ultrasonic image compounding
CN1725978A (zh) * 2002-12-13 2006-01-25 皇家飞利浦电子股份有限公司 用于处理一系列表示心动周期的图像帧的系统和方法
CN1839392A (zh) * 2003-06-25 2006-09-27 美国西门子医疗解决公司 心脏成像的自动区域心肌评定
CN106557647A (zh) * 2015-09-29 2017-04-05 松下知识产权经营株式会社 控制方法
CN106796621A (zh) * 2014-09-10 2017-05-31 皇家飞利浦有限公司 图像报告注释识别
CN106846306A (zh) * 2017-01-13 2017-06-13 重庆邮电大学 一种超声图像自动描述方法和系统
CN107184198A (zh) * 2017-06-01 2017-09-22 广州城市职业学院 一种心电信号分类识别方法

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5954764B2 (ja) 2010-12-13 2016-07-20 東芝メディカルシステムズ株式会社 超音波診断装置、画像処理装置及び画像処理方法
US20180140282A1 (en) 2015-06-03 2018-05-24 Hitachi, Ltd. Ultrasonic diagnostic apparatus and image processing method
CN108140424A (zh) 2015-10-02 2018-06-08 皇家飞利浦有限公司 用于将研究结果映射到相关超声心动图循环的系统
EP3625763B1 (en) * 2017-05-18 2024-09-04 Koninklijke Philips N.V. Convolutional deep learning analysis of temporal cardiac images

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5911133A (en) * 1997-10-22 1999-06-08 Rush-Presbyterian -St. Luke's Medical Center User interface for echocardiographic report generation
US6447450B1 (en) * 1999-11-02 2002-09-10 Ge Medical Systems Global Technology Company, Llc ECG gated ultrasonic image compounding
CN1725978A (zh) * 2002-12-13 2006-01-25 皇家飞利浦电子股份有限公司 用于处理一系列表示心动周期的图像帧的系统和方法
CN1839392A (zh) * 2003-06-25 2006-09-27 美国西门子医疗解决公司 心脏成像的自动区域心肌评定
CN106796621A (zh) * 2014-09-10 2017-05-31 皇家飞利浦有限公司 图像报告注释识别
CN106557647A (zh) * 2015-09-29 2017-04-05 松下知识产权经营株式会社 控制方法
CN106846306A (zh) * 2017-01-13 2017-06-13 重庆邮电大学 一种超声图像自动描述方法和系统
CN107184198A (zh) * 2017-06-01 2017-09-22 广州城市职业学院 一种心电信号分类识别方法

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Publication number Publication date
JP7325411B2 (ja) 2023-08-14
WO2019086586A1 (en) 2019-05-09
EP3704707B1 (en) 2024-01-10
US20210219922A1 (en) 2021-07-22
CN111448614A (zh) 2020-07-24
EP3704707A1 (en) 2020-09-09
JP2021501633A (ja) 2021-01-21

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