CN110494081A - 基于根据ecg信号对心肌微血管阻力的估计的冠状动脉疾病度量 - Google Patents

基于根据ecg信号对心肌微血管阻力的估计的冠状动脉疾病度量 Download PDF

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Publication number
CN110494081A
CN110494081A CN201880023414.2A CN201880023414A CN110494081A CN 110494081 A CN110494081 A CN 110494081A CN 201880023414 A CN201880023414 A CN 201880023414A CN 110494081 A CN110494081 A CN 110494081A
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Prior art keywords
myocardial infarction
image data
index
flow reserve
fractional flow
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CN201880023414.2A
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Chinese (zh)
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M·格拉斯
S·普雷弗尔哈尔
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Koninklijke Philips NV
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Koninklijke Philips NV
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    • A61B5/02007—Evaluating blood vessel condition, e.g. elasticity, compliance
    • G—PHYSICS
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    • 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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
    • A61B2576/023—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the heart
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    • A61B6/46—Arrangements for interfacing with the operator or the patient
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    • 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

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  • Biophysics (AREA)
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CN201880023414.2A 2017-04-06 2018-03-05 基于根据ecg信号对心肌微血管阻力的估计的冠状动脉疾病度量 Pending CN110494081A (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201762482223P 2017-04-06 2017-04-06
US62/482,223 2017-04-06
US201762557213P 2017-09-12 2017-09-12
US62/557,213 2017-09-12
PCT/EP2018/055367 WO2018184779A1 (en) 2017-04-06 2018-03-05 Coronary artery disease metric based on estimation of myocardial microvascular resistance from ecg signal

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CN110494081A true CN110494081A (zh) 2019-11-22

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US (1) US11710569B2 (https=)
EP (1) EP3606421B1 (https=)
JP (1) JP7229170B2 (https=)
CN (1) CN110494081A (https=)
WO (1) WO2018184779A1 (https=)

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CN111067495A (zh) * 2019-12-27 2020-04-28 西北工业大学 基于血流储备分数和造影图像的微循环阻力计算方法
CN111067494B (zh) * 2019-12-27 2022-04-26 西北工业大学 基于血流储备分数和血流阻力模型的微循环阻力快速计算方法
CN111652881B (zh) * 2020-07-01 2025-01-10 杭州脉流科技有限公司 基于深度学习的冠脉重构和血流储备分数计算方法、装置、设备以及可读存储介质
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CN115299956B (zh) * 2022-08-19 2024-06-25 山东大学 一种基于确定学习和心电图的心肌缺血检测方法及系统
US12475559B2 (en) 2023-05-18 2025-11-18 Regents Of The University Of Michigan Machine learning approach for coronary 3D reconstruction from X-ray angiography images
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EP3606421A1 (en) 2020-02-12
US20210118569A1 (en) 2021-04-22
JP2020516348A (ja) 2020-06-11
EP3606421B1 (en) 2025-05-07
US11710569B2 (en) 2023-07-25
WO2018184779A1 (en) 2018-10-11
JP7229170B2 (ja) 2023-02-27

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