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.Info
- 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
- Authority
- MX
- Mexico
- Prior art keywords
- analysis
- estimation model
- waveform data
- electrocardiogram analysis
- analysis assistance
- Prior art date
Links
- 238000000034 method Methods 0.000 title 3
- 238000009795 derivation Methods 0.000 abstract 1
Classifications
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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
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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
- A61B5/24—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
- A61B5/361—Detecting fibrillation
-
- 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
- A61B5/355—Detecting T-waves
-
- 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
-
- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- 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
- G06N3/044—Recurrent networks, e.g. Hopfield 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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- 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
- 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
- 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
Landscapes
- 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).
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 |
Publications (1)
Publication Number | Publication Date |
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MX2023011248A true MX2023011248A (es) | 2023-11-10 |
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MX2023011248A MX2023011248A (es) | 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. |
Country Status (11)
Country | Link |
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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) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
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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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EP1809170A4 (en) * | 2004-10-13 | 2009-12-09 | Sigmed Inc | METHOD AND SYSTEM FOR DECOMPOSING HEART SIGNAL |
EP3231362A4 (en) | 2014-12-12 | 2017-12-06 | Fujitsu Limited | Meal intake estimation program, meal intake estimation method, and meal intake estimation device |
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 |
US11620528B2 (en) * | 2018-06-12 | 2023-04-04 | Ciena Corporation | Pattern detection in time-series data |
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 |
CN109846476A (zh) * | 2019-03-19 | 2019-06-07 | 苏州哈特智能医疗科技有限公司 | 一种基于机器学习技术的室颤识别方法 |
CN111714111A (zh) * | 2019-03-22 | 2020-09-29 | 安徽华米信息科技有限公司 | 心电数据处理方法、装置、可穿戴设备及存储介质 |
CN109864714A (zh) * | 2019-04-04 | 2019-06-11 | 北京邮电大学 | 一种基于深度学习的心电信号分析方法 |
JP6865329B1 (ja) * | 2019-07-29 | 2021-04-28 | 株式会社カルディオインテリジェンス | 表示装置、表示方法及びプログラム |
JP6756994B1 (ja) | 2019-09-24 | 2020-09-16 | 冨士ダイス株式会社 | 積層造形用粉末、積層造形物の製造方法及び積層造形物焼結体の製造方法 |
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2021
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2022
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- 2022-03-23 WO PCT/JP2022/013743 patent/WO2022202942A1/ja active Application Filing
- 2022-03-23 MX MX2023011248A patent/MX2023011248A/es unknown
- 2022-03-23 IL IL307210A patent/IL307210A/en unknown
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- 2022-03-23 CN CN202280024153.2A patent/CN117651523A/zh active Pending
- 2022-03-23 US US18/283,485 patent/US20240164692A1/en active Pending
Also Published As
Publication number | Publication date |
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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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