MX2023011248A - Dispositivo de asistencia de análisis de electrocardiogramas, programa, método de asistencia de análisis de electrocardiogramas, sistema de asistencia de análisis de electrocardiogramas, método de generación de modelos de estimación de picos y método de generación de modelos de estimación de segmentos. - Google Patents

Dispositivo de asistencia de análisis de electrocardiogramas, programa, método de asistencia de análisis de electrocardiogramas, sistema de asistencia de análisis de electrocardiogramas, método de generación de modelos de estimación de picos y método de generación de modelos de estimación de segmentos.

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Publication number
MX2023011248A
MX2023011248A MX2023011248A MX2023011248A MX2023011248A MX 2023011248 A MX2023011248 A MX 2023011248A MX 2023011248 A MX2023011248 A MX 2023011248A MX 2023011248 A MX2023011248 A MX 2023011248A MX 2023011248 A MX2023011248 A MX 2023011248A
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Mexico
Prior art keywords
analysis
estimation model
waveform data
electrocardiogram analysis
analysis assistance
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MX2023011248A
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English (en)
Inventor
Hideki Hashimoto
Makoto Ogino
Mitsuhisa Shimizu
Toshiya Kagawa
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Astellas Pharma Inc
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Publication date
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Publication of MX2023011248A publication Critical patent/MX2023011248A/es

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/361Detecting fibrillation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/352Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/355Detecting T-waves
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/366Detecting abnormal QRS complex, e.g. widening
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • G06N20/20Ensemble learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT 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

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Cardiology (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Pathology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Artificial Intelligence (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Physiology (AREA)
  • Signal Processing (AREA)
  • Psychiatry (AREA)
  • Fuzzy Systems (AREA)
  • Computational Linguistics (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Databases & Information Systems (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

Un dispositivo de asistencia de análisis de electrocardiogramas (10) que incluye: un modelo de estimación de picos (13C) que emplea datos de forma de onda de segmentos parciales de datos de forma de onda en un electrocardiograma como información de entrada y que emplea información de pico que indica si está presente o no un tipo predeterminado de pico relacionado con el análisis del electrocardiograma como información de salida; una unidad de adquisición de forma de onda de análisis (11C) que adquiere datos de forma de onda en un electrocardiograma para su análisis; una unidad de selección y extracción de forma de onda de análisis (11D) que selecciona y extrae datos de forma de onda de un primer periodo predeterminado de los datos de forma de onda adquiridos por la unidad de adquisición de forma de onda de análisis (11C) como datos de forma de onda de análisis divididos, mientras que cada vez cambia un periodo de cambio predeterminado que es un periodo más corto que el primer periodo; y una unidad de derivación (11E) que deriva la información de pico al introducir los datos de forma de onda de análisis divididos seleccionados y extraídos por la unidad de selección y extracción de forma de onda de análisis (11D) en el modelo de estimación de picos (13C).
MX2023011248A 2021-03-24 2022-03-23 Dispositivo de asistencia de análisis de electrocardiogramas, programa, método de asistencia de análisis de electrocardiogramas, sistema de asistencia de análisis de electrocardiogramas, método de generación de modelos de estimación de picos y método de generación de modelos de estimación de segmentos. MX2023011248A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2021050381A JP7032747B1 (ja) 2021-03-24 2021-03-24 心電図解析支援装置、プログラム、心電図解析支援方法、及び心電図解析支援システム
PCT/JP2022/013743 WO2022202942A1 (ja) 2021-03-24 2022-03-23 心電図解析支援装置、プログラム、心電図解析支援方法、心電図解析支援システム、ピーク推定モデル生成方法、及び区間推定モデル生成方法

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US (1) US20240164692A1 (es)
EP (1) EP4318335A1 (es)
JP (1) JP7032747B1 (es)
KR (1) KR20230159566A (es)
CN (1) CN117651523A (es)
AU (1) AU2022245591A1 (es)
BR (1) BR112023019438A2 (es)
CA (1) CA3213192A1 (es)
IL (1) IL307210A (es)
MX (1) MX2023011248A (es)
WO (1) WO2022202942A1 (es)

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WO2023248308A1 (ja) * 2022-06-20 2023-12-28 日本電信電話株式会社 学習装置、情報提供装置、学習方法、情報提供方法及びプログラム
JP2024073820A (ja) 2022-11-18 2024-05-30 日本光電工業株式会社 表示制御装置、およびコンピュータプログラム
JP7493293B1 (ja) 2024-03-13 2024-05-31 株式会社カルディオインテリジェンス 心電図解析のための支援装置、支援システム、およびプログラム

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CN107837082B (zh) * 2017-11-27 2020-04-24 乐普(北京)医疗器械股份有限公司 基于人工智能自学习的心电图自动分析方法和装置
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CN109875545A (zh) * 2018-12-17 2019-06-14 浙江好络维医疗技术有限公司 一种基于cnn的个体化12导联心电图重建方法
KR102171236B1 (ko) 2019-03-14 2020-10-28 서울시립대학교 산학협력단 심장 박동의 타입을 분류하는 방법 및 이를 이용한 장치
CN109864739A (zh) * 2019-03-19 2019-06-11 苏州哈特智能医疗科技有限公司 一种从10秒心电图中识别二度房室传导阻滞的方法
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AU2022245591A1 (en) 2023-11-09
EP4318335A1 (en) 2024-02-07
IL307210A (en) 2023-11-01
CN117651523A (zh) 2024-03-05
JP7032747B1 (ja) 2022-03-09
BR112023019438A2 (pt) 2023-10-24
WO2022202942A1 (ja) 2022-09-29
KR20230159566A (ko) 2023-11-21
JP2022148631A (ja) 2022-10-06
CA3213192A1 (en) 2022-09-29
US20240164692A1 (en) 2024-05-23

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