JP7262452B2 - Ｅｃｇベースの心駆出率のスクリーニング - Google Patents

Ｅｃｇベースの心駆出率のスクリーニング Download PDF

Info

Publication number
JP7262452B2
JP7262452B2 JP2020519717A JP2020519717A JP7262452B2 JP 7262452 B2 JP7262452 B2 JP 7262452B2 JP 2020519717 A JP2020519717 A JP 2020519717A JP 2020519717 A JP2020519717 A JP 2020519717A JP 7262452 B2 JP7262452 B2 JP 7262452B2
Authority
JP
Japan
Prior art keywords
ejection fraction
ecg
mammal
computer
neural network
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2020519717A
Other languages
English (en)
Japanese (ja)
Other versions
JP2020536629A5 (https=
JP2020536629A (ja
Inventor
ザチ アッティア，イツァーク
エー． フリードマン，ポール
ロペス－ジメネッツ，フランシスコ
カパ，スラージュ
Original Assignee
メイヨ・ファウンデーション・フォー・メディカル・エデュケーション・アンド・リサーチ
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by メイヨ・ファウンデーション・フォー・メディカル・エデュケーション・アンド・リサーチ filed Critical メイヨ・ファウンデーション・フォー・メディカル・エデュケーション・アンド・リサーチ
Publication of JP2020536629A publication Critical patent/JP2020536629A/ja
Publication of JP2020536629A5 publication Critical patent/JP2020536629A5/ja
Priority to JP2023064119A priority Critical patent/JP7636461B2/ja
Application granted granted Critical
Publication of JP7262452B2 publication Critical patent/JP7262452B2/ja
Priority to JP2025021238A priority patent/JP2025087714A/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/02028—Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A61B5/347—Detecting the frequency distribution of signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A61B5/349—Detecting specific parameters of the electrocardiograph cycle
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A61B5/349—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/352—Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A61B5/349—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/366—Detecting abnormal QRS complex, e.g. widening
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/09—Supervised learning
    • 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
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • 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
    • 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

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Cardiology (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Physiology (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • General Business, Economics & Management (AREA)
  • Business, Economics & Management (AREA)
  • Fuzzy Systems (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
JP2020519717A 2017-10-06 2018-10-04 Ｅｃｇベースの心駆出率のスクリーニング Active JP7262452B2 (ja)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2023064119A JP7636461B2 (ja) 2017-10-06 2023-04-11 コンピュータ実施方法及び非一時的コンピュータ可読媒体
JP2025021238A JP2025087714A (ja) 2017-10-06 2025-02-13 コンピュータ実施方法

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201762569268P 2017-10-06 2017-10-06
US62/569,268 2017-10-06
US201762599163P 2017-12-15 2017-12-15
US62/599,163 2017-12-15
PCT/US2018/054371 WO2019070978A1 (en) 2017-10-06 2018-10-04 CARDIAC EJECTION FRACTION SCREEN BASED ON ECG

Related Child Applications (1)

Application Number Title Priority Date Filing Date
JP2023064119A Division JP7636461B2 (ja) 2017-10-06 2023-04-11 コンピュータ実施方法及び非一時的コンピュータ可読媒体

Publications (3)

Publication Number Publication Date
JP2020536629A JP2020536629A (ja) 2020-12-17
JP2020536629A5 JP2020536629A5 (https=) 2021-11-11
JP7262452B2 true JP7262452B2 (ja) 2023-04-21

Family

ID=65995234

Family Applications (3)

Application Number Title Priority Date Filing Date
JP2020519717A Active JP7262452B2 (ja) 2017-10-06 2018-10-04 Ｅｃｇベースの心駆出率のスクリーニング
JP2023064119A Active JP7636461B2 (ja) 2017-10-06 2023-04-11 コンピュータ実施方法及び非一時的コンピュータ可読媒体
JP2025021238A Pending JP2025087714A (ja) 2017-10-06 2025-02-13 コンピュータ実施方法

Family Applications After (2)

Application Number Title Priority Date Filing Date
JP2023064119A Active JP7636461B2 (ja) 2017-10-06 2023-04-11 コンピュータ実施方法及び非一時的コンピュータ可読媒体
JP2025021238A Pending JP2025087714A (ja) 2017-10-06 2025-02-13 コンピュータ実施方法

Country Status (8)

Country Link
US (5) US12121326B2 (https=)
EP (2) EP4623811A3 (https=)
JP (3) JP7262452B2 (https=)
CN (1) CN111432720A (https=)
AU (1) AU2018346412B2 (https=)
CA (1) CA3078519A1 (https=)
ES (1) ES3049209T3 (https=)
WO (1) WO2019070978A1 (https=)

Families Citing this family (83)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3165161B1 (en) 2010-05-12 2020-05-06 Irhythm Technologies, Inc. Device features and design elements for long-term adhesion
US20140206977A1 (en) 2013-01-24 2014-07-24 Irhythm Technologies, Inc. Physiological monitoring device
AU2015338967A1 (en) 2014-10-31 2017-05-11 Irhythm Technologies, Inc. Wireless physiological monitoring device and systems
US11672464B2 (en) 2015-10-27 2023-06-13 Cardiologs Technologies Sas Electrocardiogram processing system for delineation and classification
CA3072976A1 (en) 2017-08-25 2019-02-28 Cardiologs Technologies Sas User interface for analysis of electrocardiograms
CA3078519A1 (en) 2017-10-06 2019-04-11 Mayo Foundation For Medical Education And Research Ecg-based cardiac ejection-fraction screening
US11484273B2 (en) * 2018-03-06 2022-11-01 International Business Machines Corporation Determining functional age indices based upon sensor data
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
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
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
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
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
US12016694B2 (en) 2019-02-04 2024-06-25 Cardiologs Technologies Sas Electrocardiogram processing system for delineation and classification
US20200293590A1 (en) * 2019-03-17 2020-09-17 Kirill Rebrov Computer-implemented Method and System for Age Classification of First Names
US11633159B2 (en) 2019-05-06 2023-04-25 Medtronic, Inc. Personalization of artificial intelligence models for analysis of cardiac rhythms
US11445918B2 (en) 2019-08-30 2022-09-20 Heart Test Laboratories, Inc. Electrocardiogram-based assessment of diastolic function
US11657921B2 (en) 2019-09-18 2023-05-23 Tempus Labs, Inc. Artificial intelligence based cardiac event predictor systems and methods
AU2020351232B2 (en) 2019-09-18 2025-08-14 Geisinger Clinic ECG based future atrial fibrillation predictor systems and methods
CN110693486B (zh) * 2019-09-27 2022-06-14 武汉中旗生物医疗电子有限公司 一种心电图的异常标注方法及装置
US11617528B2 (en) * 2019-10-08 2023-04-04 GE Precision Healthcare LLC Systems and methods for reduced lead electrocardiogram diagnosis using deep neural networks and rule-based systems
US20230040185A1 (en) * 2020-01-10 2023-02-09 Prenosis, Inc. A time-sensitive trigger for a streaming data environment
JP7455295B2 (ja) * 2020-01-15 2024-03-26 国立大学法人 東京医科歯科大学 生体情報処理装置及びその制御方法
WO2021163331A1 (en) 2020-02-12 2021-08-19 Irhythm Technologies, Inc Non-invasive cardiac monitor and methods of using recorded cardiac data to infer a physiological characteristic of a patient
DE102020203848A1 (de) * 2020-03-25 2021-09-30 Siemens Healthcare Gmbh Verfahren und Vorrichtung zur Ansteuerung eines medizinischen Geräts
US20210401347A1 (en) * 2020-06-24 2021-12-30 Mayo Foundation For Medical Education And Research Machine-learning models for ecg-based troponin level detection
CN111879772B (zh) * 2020-07-28 2021-11-05 食安慧(深圳)科技股份有限公司 一种基于大数据的食品安全智慧管理方法与系统
DE102020004698A1 (de) 2020-08-03 2022-02-03 Hochschule Offenburg Steuerung für eine extrakorporale Kreislaufunterstützung
WO2022032118A1 (en) 2020-08-06 2022-02-10 Irhythm Technologies, Inc. Electrical components for physiological monitoring device
AU2021322280B2 (en) 2020-08-06 2025-02-06 Irhythm Technologies, Inc. Adhesive physiological monitoring device
JP7152724B2 (ja) 2020-08-21 2022-10-13 雅文 中山 機械学習装置、プログラム、及び検査結果推定装置
WO2022093709A1 (en) * 2020-10-27 2022-05-05 Zoll Medical Corporation Determination of cardiac condition measure based on machine learning analysis of ecg and/or cardio-vibrational data
CN112270951B (zh) * 2020-11-10 2022-11-01 四川大学 基于多任务胶囊自编码器神经网络的全新分子生成方法
US12290407B2 (en) 2021-01-25 2025-05-06 Lazaro Eduardo Hernandez System and method of monitoring a life-threating medical situation based on an ejection-fraction measurement
US12178656B2 (en) 2021-01-25 2024-12-31 Lazaro Eduardo Hernandez System and method of triggering non-invasive continuous echocardiographic monitoring
US12544036B2 (en) 2021-03-23 2026-02-10 Lazaro E. Hernandez System for remote cardiac ultrasonic monitoring
US11457889B2 (en) * 2021-01-25 2022-10-04 Lazaro Eduardo Hernandez System and method of non-invasive continuous echocardiographic monitoring
US11957505B2 (en) 2021-01-25 2024-04-16 Dl-Hrt Llc System and method of non-invasive continuous echocardiographic monitoring
USD1076106S1 (en) 2021-03-23 2025-05-20 Lazaro Eduardo Hernandez Ultrasound transducer probe holder
CN113077874B (zh) * 2021-03-19 2023-11-28 浙江大学 基于红外热像的脊椎疾病康复智能辅助诊疗系统及方法
CN113080996B (zh) * 2021-04-08 2022-11-18 大同千烯科技有限公司 一种基于目标检测的心电图分析方法及装置
KR102483567B1 (ko) * 2021-04-21 2023-01-04 주식회사 메디코아 인공지능 기반의 3분 미만 측정구간의 심박변이도 데이터로부터 5분 또는 3분의 심박변이도 지표를 예측하는 방법 및 그 시스템
EP4346564A4 (en) * 2021-05-28 2025-02-19 Tempus AI, Inc. Ecg-based cardiovascular disease detection systems and related methods
USD1063079S1 (en) 2021-08-06 2025-02-18 Irhythm Technologies, Inc. Physiological monitoring device
KR102766827B1 (ko) * 2021-08-17 2025-02-13 주식회사 메디컬에이아이 비동기 심전도를 이용한 건강상태 예측 시스템
KR102607446B1 (ko) * 2021-08-27 2023-11-30 주식회사 팬토믹스 심실 구축률 측정을 통한 심부전 진단 방법
WO2023048437A1 (ko) * 2021-09-25 2023-03-30 주식회사 메디컬에이아이 의료 데이터를 기반으로 하는 딥러닝 모델의 학습 및 추론 방법, 프로그램 및 장치
EP4412518A1 (en) * 2021-10-04 2024-08-14 BIOTRONIK SE & Co. KG Computer implemented method for determining a medical parameter, training method and system
EP4417127A4 (en) * 2021-10-11 2025-08-20 Medical Ai Co Ltd METHOD, PROGRAM AND DEVICE FOR DIAGNOSING LEFT VENTRICULAR SYSTOLIC DYSFUNCTION BASED ON AN ELECTROCARDIOGRAM
WO2023097315A1 (en) * 2021-11-29 2023-06-01 Icahn School Of Medicine At Mount Sinai Systems and methods for electrocardiogram deep learning interpretability
US12102485B2 (en) * 2022-04-05 2024-10-01 Icahn School Of Medicine At Mount Sinai Surfacing insights into left and right ventricular dysfunction through deep learning
US20230346288A1 (en) * 2022-04-28 2023-11-02 The Board Of Trustees Of The Leland Stanford Junior University Systems and Methods for Evaluating Cardiovascular Disease Risks
US20250372251A1 (en) * 2022-05-27 2025-12-04 Yale University Articles and methods for format independent detection of hidden cardiovascular disease from printed electrocardiographic images using deep learning
US20230380698A1 (en) * 2022-05-31 2023-11-30 Singular Medical (USA) Inc. Multi-sensor device for cardiopulmonary management
TWI865880B (zh) * 2022-06-20 2024-12-11 陳崗熒 基於心電圖訊號的指標數值之轉化方法及系統
CN114831643B (zh) * 2022-07-04 2022-10-04 南京大学 一种心电信号监测装置和可穿戴设备
TWI867541B (zh) * 2022-07-11 2024-12-21 長庚醫療財團法人林口長庚紀念醫院 基於心電圖的死亡風險預測系統及方法
KR20240016648A (ko) * 2022-07-29 2024-02-06 주식회사 메디컬에이아이 심전도에 기반한 운동 추천 방법 및 이를 실행하기 위하여 기록매체에 기록된 컴퓨터 프로그램
KR102918760B1 (ko) * 2022-08-18 2026-01-27 주식회사 뷰노 심장 나이를 예측하는 방법
WO2024049563A1 (en) * 2022-08-29 2024-03-07 Medtronic, Inc. Identifying ejection fraction using a single lead cardiac electrogram sensed by a medical device
US20260094711A1 (en) * 2022-09-28 2026-04-02 Medical Ai Co., Ltd. Method, program, and device for constructing medical artificial intelligence model
CN119895438A (zh) * 2022-09-28 2025-04-25 美迪科诶爱有限公司 建立用于医疗的人工智能模型的方法、程序及装置
WO2024118718A1 (en) * 2022-11-29 2024-06-06 Yale University Articles and methods for detection of hidden cardiovascular disease from portable electrocardiographic signal data using deep learning
CN120813297A (zh) * 2023-03-01 2025-10-17 美敦力公司 使用由医疗装置感测到的单导联心脏电描记图来识别射血分数
TWI896995B (zh) * 2023-07-07 2025-09-11 國防醫學大學 應用心電圖以人工智慧信心度模型輔助診斷左心室功能不全之方法及其系統
US20250046461A1 (en) * 2023-08-03 2025-02-06 Anumana, Inc. Apparatus and method for determining a patient survival profile using artificial intelligence-enabled electrocardiogram (ecg)
CN116721777B (zh) * 2023-08-10 2023-10-27 中国医学科学院药用植物研究所 基于神经网络的药物药效评价方法、装置、设备及介质
KR102733909B1 (ko) * 2023-08-22 2024-11-26 시너지에이아이 주식회사 심장 질환 예측 방법 및 상기 방법을 수행하는 컴퓨팅 장치
CN117058149B (zh) * 2023-10-12 2024-01-02 中南大学 一种用于训练识别骨关节炎的医学影像测量模型的方法
WO2025095008A1 (ja) * 2023-10-30 2025-05-08 Jsr株式会社 情報処理システム、プログラム、及び情報処理装置
TR2023014871A2 (tr) * 2023-11-13 2024-05-21 Sakarya Ueniversitesi Rektoerluegue Ejeksiyon Fraksiyonu Düşük ve Korunmuş Kalp Yetersizliği Vakalarının Tespiti İçin Makine Öğrenmesi Tabanlı Cihaz
US20250160799A1 (en) * 2023-11-21 2025-05-22 Worcester Polytechnic Institute Cardiac function assessment and classification
EP4589602A1 (en) * 2024-01-16 2025-07-23 Koninklijke Philips N.V. Predicting heart disease
WO2025179176A1 (en) * 2024-02-21 2025-08-28 The Trustees Of Columbia University In The City Of New York Systems and methods for analysing electrocardiograms using deep learning
US12505116B1 (en) 2024-02-29 2025-12-23 Anumana, Inc. Apparatus and method for time series data format conversion and analysis
US12333413B1 (en) 2024-03-01 2025-06-17 Mayo Foundation For Medical Education And Research Apparatus and method for training an artificial intelligence-supported diagnostic assessment tool
EP4648063A1 (en) * 2024-05-09 2025-11-12 Industry Academic Cooperation Foundaton, Yonsei University Method for providing information on subject and device for providing information on subject using the same
US20250352072A1 (en) * 2024-05-15 2025-11-20 Peerbridge Health, Inc. Systems and methods for assessing ejection fraction, heart failure, and sleep apnea using electrocardiographic signals
US20250352149A1 (en) * 2024-05-16 2025-11-20 Anumana, Inc. Apparatus and method for left ventricular ejection fraction prediction
US12318205B1 (en) 2024-05-16 2025-06-03 Anumana, Inc. Apparatus and method for generating cardiac catheterization data
US12507938B2 (en) * 2024-06-21 2025-12-30 Anumana, Inc. Systems and methods for tracking cardiac values
US20260058013A1 (en) * 2024-08-22 2026-02-26 GE Precision Healthcare LLC Systems and methods for ecg interpretation based on longitudinal criteria
US20260060658A1 (en) * 2024-08-30 2026-03-05 Tempus Ai, Inc. Detecting low ejection fraction from electrocardiogram data using artificial intelligence

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110021933A1 (en) 2008-03-24 2011-01-27 Deepbreeze Ltd. Methods and Systems for Use in Determination of a Patient's Heart Condition

Family Cites Families (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4245646A (en) * 1978-06-19 1981-01-20 Picker Corporation Nuclear cardiology apparatus and method
GB0113212D0 (en) * 2001-05-31 2001-07-25 Oxford Biosignals Ltd Patient condition display
US8282569B2 (en) 2006-03-15 2012-10-09 Board Of Trustees Of Michigan State University Method and apparatus for determining ejection fraction
US7904153B2 (en) * 2007-04-27 2011-03-08 Medtronic, Inc. Method and apparatus for subcutaneous ECG vector acceptability and selection
US8457706B2 (en) * 2008-05-16 2013-06-04 Covidien Lp Estimation of a physiological parameter using a neural network
CN103038772B (zh) * 2010-03-15 2017-10-24 新加坡保健服务集团有限公司 预测患者的存活性的系统和装置
US8634911B2 (en) * 2010-10-29 2014-01-21 Medtronic, Inc. Pacing interval determination for ventricular dyssynchrony
US20130165776A1 (en) * 2011-12-22 2013-06-27 Andreas Blomqvist Contraction status assessment
US9968265B2 (en) * 2012-08-17 2018-05-15 Analytics For Life Method and system for characterizing cardiovascular systems from single channel data
KR20140108417A (ko) * 2013-02-27 2014-09-11 김민준 영상정보를 이용한 건강 진단 시스템
JP6190033B2 (ja) * 2013-03-14 2017-08-30 カーディアック ペースメイカーズ， インコーポレイテッド 再入院を回避するための心不全管理
US9737229B1 (en) * 2013-06-04 2017-08-22 Analytics For Life Noninvasive electrocardiographic method for estimating mammalian cardiac chamber size and mechanical function
US9700219B2 (en) * 2013-10-17 2017-07-11 Siemens Healthcare Gmbh Method and system for machine learning based assessment of fractional flow reserve
US10039468B2 (en) * 2013-11-12 2018-08-07 Analytics For Life Inc. Noninvasive electrocardiographic method for estimating mammalian cardiac chamber size and mechanical function
AU2015259652B2 (en) * 2014-05-15 2017-09-07 Cardiac Pacemakers, Inc. Automatic differential diagnosis of worsening heart failure
WO2016007410A1 (en) * 2014-07-07 2016-01-14 Zoll Medical Corporation System and method for distinguishing a cardiac event from noise in an electrocardiogram (ecg) signal
EP3399907A4 (en) * 2016-01-04 2019-08-28 Aventusoft, LLC SYSTEM AND METHOD FOR MEASURING HEMODYNAMIC PARAMETERS FROM THE HEADLAPPING SIGNALS
CN105748063A (zh) * 2016-04-25 2016-07-13 山东大学齐鲁医院 基于多导联和卷积神经网络的心律失常智能诊断方法
US20170347899A1 (en) * 2016-06-03 2017-12-07 FOURTH FRONTIER TECHNOLOGIES, Pvt. Ltd. Method and system for continuous monitoring of cardiovascular health
CA3078519A1 (en) 2017-10-06 2019-04-11 Mayo Foundation For Medical Education And Research Ecg-based cardiac ejection-fraction screening

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110021933A1 (en) 2008-03-24 2011-01-27 Deepbreeze Ltd. Methods and Systems for Use in Determination of a Patient's Heart Condition

Also Published As

Publication number Publication date
EP3691524B1 (en) 2025-09-24
WO2019070978A1 (en) 2019-04-11
US20260069147A1 (en) 2026-03-12
EP4623811A2 (en) 2025-10-01
JP7636461B2 (ja) 2025-02-26
JP2023089112A (ja) 2023-06-27
US20250000371A1 (en) 2025-01-02
AU2018346412B2 (en) 2023-11-23
US12201404B2 (en) 2025-01-21
US20240081653A1 (en) 2024-03-14
US20230089991A1 (en) 2023-03-23
JP2025087714A (ja) 2025-06-10
EP3691524C0 (en) 2025-09-24
US12121326B2 (en) 2024-10-22
EP3691524A4 (en) 2021-08-11
CN111432720A (zh) 2020-07-17
US20200397313A1 (en) 2020-12-24
JP2020536629A (ja) 2020-12-17
CA3078519A1 (en) 2019-04-11
ES3049209T3 (en) 2025-12-15
US12121327B2 (en) 2024-10-22
EP4623811A3 (en) 2025-10-08
EP3691524A1 (en) 2020-08-12
AU2018346412A1 (en) 2020-04-30

Similar Documents

Publication Publication Date Title
JP7262452B2 (ja) Ｅｃｇベースの心駆出率のスクリーニング
Romiti et al. Artificial intelligence (AI) and cardiovascular diseases: an unexpected alliance
Muzammil et al. Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases
JP7402879B2 (ja) 被験者の生理学的または生物学的状態または疾患を特定するための方法およびシステム
Van den Eynde et al. Successfully implemented artificial intelligence and machine learning applications in cardiology: State-of-the-art review
US20180235493A1 (en) Patient Signal Analysis Based on Vector Analysis
US20230420132A1 (en) Noninvasive heart failure detection
US20210361217A1 (en) Ecg-based age and sex estimation
Gautam et al. Contemporary applications of machine learning for device therapy in heart failure
Ravera et al. Applications, challenges and future directions of artificial intelligence in cardio‐oncology
US12357278B2 (en) Echocardiography deep learning and cardiovascular outcomes
Jiang et al. Detection of left atrial enlargement using a convolutional neural network-enabled electrocardiogram
US20230404488A1 (en) Noninvasive cardiovascular event detection
Ramesh et al. Performance analysis of machine learning algorithms to predict cardiovascular disease
Hasumi et al. Heart failure monitoring with a single‑lead electrocardiogram at home
Bhavnani et al. Multicenter validation of a machine learning phase space electro-mechanical pulse wave analysis to predict elevated left ventricular end diastolic pressure at the point-of-care
Rao et al. Machine Learning Based Cardiovascular Disease Prediction
Zhang et al. Integrating multimodal intelligence in heart failure: AI-driven risk prediction, precision diagnosis, phenotyping, personalized treatment, and prognosis
US20260000334A1 (en) Method for providing necessary information for arrhythmia classification and diagnosis using 12-lead electrocardiogram signal and apparatus for executing the method
Khunte et al. Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for wearable devices
Rehman et al. ARTIFICIAL INTELLIGENCE–ENHANCED CARDIAC SIGNAL PROCESSING FOR PREDICTING ARRHYTHMIA RISK IN HEART FAILURE PATIENTS
JP2025073061A (ja) 心房細動の持続期間推定支援装置、心房細動の持続期間推定用学習済みモデル製造装置、心房細動の持続期間推定支援方法、心房細動の持続期間推定用学習済みモデル製造方法、心房細動の持続期間推定支援プログラム、心房細動の持続期間推定用学習済みモデル製造プログラム及び記録媒体
Tomala et al. Artificial Intelligence in Contemporary Cardiology: Current Applications, Struggles, and Prospects
Al-Jawahry et al. Blood Pressure Monitoring and Hypertension Prediction using Dynamic Opposite Learning Based Prairie Dog Optimization Algorithm
Bring ClinicalKey Exclusive preview: AI in Cardiovascular Medicine

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20211004

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20211004

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20220809

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20220810

A601 Written request for extension of time

Free format text: JAPANESE INTERMEDIATE CODE: A601

Effective date: 20221104

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230209

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20230314

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20230411

R150 Certificate of patent or registration of utility model

Ref document number: 7262452

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150