WO2021172852A3 - Ai를 이용한 일회박출량 산출 장치 및 방법 - Google Patents
Ai를 이용한 일회박출량 산출 장치 및 방법 Download PDFInfo
- Publication number
- WO2021172852A3 WO2021172852A3 PCT/KR2021/002274 KR2021002274W WO2021172852A3 WO 2021172852 A3 WO2021172852 A3 WO 2021172852A3 KR 2021002274 W KR2021002274 W KR 2021002274W WO 2021172852 A3 WO2021172852 A3 WO 2021172852A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- stroke volume
- blood pressure
- data
- artery blood
- calculating
- Prior art date
Links
Classifications
-
- 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
-
- 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 pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/026—Measuring blood flow
- A61B5/029—Measuring or recording blood output from the heart, e.g. minute volume
-
- 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 pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
-
- 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 pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/0215—Measuring pressure in heart or blood vessels by means inserted into the body
-
- 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 pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/026—Measuring blood flow
- A61B5/0275—Measuring blood flow using tracers, e.g. dye dilution
- A61B5/028—Measuring blood flow using tracers, e.g. dye dilution by thermo-dilution
-
- 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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
-
- 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
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7278—Artificial waveform generation or derivation, e.g. synthesising signals from measured signals
-
- 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
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/042—Knowledge-based neural networks; Logical representations of neural 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
- G06N3/08—Learning methods
-
- 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
- G16H50/30—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
-
- 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)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Pathology (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Animal Behavior & Ethology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physiology (AREA)
- Surgery (AREA)
- Veterinary Medicine (AREA)
- Cardiology (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Hematology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Signal Processing (AREA)
- Psychiatry (AREA)
- Mathematical Physics (AREA)
- Evolutionary Computation (AREA)
- Software Systems (AREA)
- Vascular Medicine (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Fuzzy Systems (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
- Instructional Devices (AREA)
Abstract
본 발명은 복수의 동맥혈압값 및 각 동맥혈압값에 대응되는 일회박출량을 포함하는 제1데이터 및 제2데이터 중 미리 설정된 범위의 동맥혈압값 및 일회박출량을 필터링하는 필터링부; 상기 제1데이터에서 필터링된 제3데이터를 이용하여 상기 동맥혈압값을 기초로 일회박출량을 산출하는 제1 일회박출량 산출 모델을 선행 학습시키는 선행 학습부; 상기 제2데이터에서 필터링된 제4데이터를 이용하여 상기 동맥혈압값을 기초로 일회박출량을 산출하는 제1 일회박출량 산출 모델을 전이 학습시켜 제2 일회박출량 산출 모델을 생성시키는 전이 학습부; 및 상기 제2 일회박출량 산출 모델을 이용하여 입력된 특정 환자의 동맥혈압에 대응하는 일회박출량을 산출하는 일회박출량 산출부를 포함하는 AI를 이용하는 일회박출량 산출 장치를 포함한다.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP21759740.0A EP4111955A4 (en) | 2020-02-25 | 2021-02-24 | DEVICE AND METHOD FOR CALCULATION OF SYSTOLIC VOLUME USING AI |
US17/802,208 US20230355185A1 (en) | 2020-02-25 | 2021-02-24 | Device and method for calculating stroke volume using ai |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020200022914A KR102377609B1 (ko) | 2020-02-25 | 2020-02-25 | Ai를 이용한 일회박출량 산출 장치 및 방법 |
KR10-2020-0022914 | 2020-02-25 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2021172852A2 WO2021172852A2 (ko) | 2021-09-02 |
WO2021172852A3 true WO2021172852A3 (ko) | 2021-10-21 |
Family
ID=77491750
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/KR2021/002274 WO2021172852A2 (ko) | 2020-02-25 | 2021-02-24 | Ai를 이용한 일회박출량 산출 장치 및 방법 |
Country Status (4)
Country | Link |
---|---|
US (1) | US20230355185A1 (ko) |
EP (1) | EP4111955A4 (ko) |
KR (1) | KR102377609B1 (ko) |
WO (1) | WO2021172852A2 (ko) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113782146B (zh) * | 2021-09-16 | 2023-08-22 | 平安科技(深圳)有限公司 | 基于人工智能的全科用药推荐方法、装置、设备及介质 |
KR102447962B1 (ko) | 2021-12-22 | 2022-09-27 | 서울대학교병원 | 소아환자용 일회박출량 인덱스 추정 시스템 및 방법 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008506472A (ja) * | 2004-07-14 | 2008-03-06 | エドワーズ ライフサイエンシーズ コーポレイション | 連続的動脈脈拍輪郭分析による心室一回拍出量分散のリアルタイム測定 |
JP2010246801A (ja) * | 2009-04-17 | 2010-11-04 | Nippon Koden Corp | 血液量測定方法、血液量測定装置及び血液量測定プログラム |
KR20130095862A (ko) * | 2012-02-03 | 2013-08-29 | 강원대학교산학협력단 | 혈압으로부터 심박출량을 측정하는 방법 |
KR20170073051A (ko) * | 2015-12-18 | 2017-06-28 | 삼성전자주식회사 | 혈압을 산출하는 방법 및 장치 |
KR20200006447A (ko) * | 2018-07-10 | 2020-01-20 | 재단법인 아산사회복지재단 | 동맥압 파형을 이용한 심박출량 획득 방법 및 그 프로그램 |
-
2020
- 2020-02-25 KR KR1020200022914A patent/KR102377609B1/ko active IP Right Grant
-
2021
- 2021-02-24 EP EP21759740.0A patent/EP4111955A4/en active Pending
- 2021-02-24 US US17/802,208 patent/US20230355185A1/en active Pending
- 2021-02-24 WO PCT/KR2021/002274 patent/WO2021172852A2/ko unknown
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008506472A (ja) * | 2004-07-14 | 2008-03-06 | エドワーズ ライフサイエンシーズ コーポレイション | 連続的動脈脈拍輪郭分析による心室一回拍出量分散のリアルタイム測定 |
JP2010246801A (ja) * | 2009-04-17 | 2010-11-04 | Nippon Koden Corp | 血液量測定方法、血液量測定装置及び血液量測定プログラム |
KR20130095862A (ko) * | 2012-02-03 | 2013-08-29 | 강원대학교산학협력단 | 혈압으로부터 심박출량을 측정하는 방법 |
KR20170073051A (ko) * | 2015-12-18 | 2017-06-28 | 삼성전자주식회사 | 혈압을 산출하는 방법 및 장치 |
KR20200006447A (ko) * | 2018-07-10 | 2020-01-20 | 재단법인 아산사회복지재단 | 동맥압 파형을 이용한 심박출량 획득 방법 및 그 프로그램 |
Also Published As
Publication number | Publication date |
---|---|
US20230355185A1 (en) | 2023-11-09 |
EP4111955A2 (en) | 2023-01-04 |
KR102377609B1 (ko) | 2022-03-23 |
KR20210108105A (ko) | 2021-09-02 |
EP4111955A4 (en) | 2024-04-03 |
WO2021172852A2 (ko) | 2021-09-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2021172852A3 (ko) | Ai를 이용한 일회박출량 산출 장치 및 방법 | |
WO2019229528A3 (en) | Using machine learning to predict health conditions | |
WO2022256193A3 (en) | Multimodal dynamic attention fusion | |
WO2015030998A3 (en) | Systems and methods for predicting location, onset, and/or change of coronary lesions | |
WO2009138881A3 (en) | Method and system for monitoring a health condition | |
CN104641366B (zh) | 用于分析和重建具有低采样速率的可变脉宽信号的系统和方法 | |
CN204904688U (zh) | 一种心脏血液循环模型 | |
JP2019075115A (ja) | アクティベーション演算とコンボリューション演算を同時に遂行するための方法及び装置、そしてこのための学習方法及び学習装置 | |
CN108053708B (zh) | 一种动态脉搏波仿真模块 | |
CN107391900A (zh) | 房颤检测方法、分类模型训练方法及终端设备 | |
WO2020095326A1 (en) | System and method for classifying a pulse morphology of a user | |
Naik et al. | Mathematical Modeling of Human Cardiovascular System: A Lumped Parameter Approach and Simulation | |
CN108205941A (zh) | 一种实时检测胸腔弹性系数的方法及胸外按压反馈系统 | |
EA202191778A1 (ru) | Специфическое для пациента моделирование гемодинамических параметров в коронарных артериях | |
Guo et al. | Lw‐CNN‐Based Myoelectric Signal Recognition and Real‐Time Control of Robotic Arm for Upper‐Limb Rehabilitation | |
CN104050857B (zh) | 基于集总参数的心血管系统仿真模型 | |
WO2022132915A3 (en) | Systems and methods for diagnosing a health condition based on patient time series data | |
Sharan et al. | Voice command recognition using biologically inspired time-frequency representation and convolutional neural networks | |
Karimi et al. | Noninvasive detection and classification of coronary artery occlusions using wavelet analysis of heart sounds with neural networks | |
WO2013186634A3 (en) | Predicting acute cardiopulmonary events and survivability of a patient | |
Faes et al. | A framework for the time-and frequency-domain assessment of high-order interactions in brain and physiological networks | |
CN103349545A (zh) | 一种模拟有创血压的装置及方法 | |
Cascaval et al. | Boundary control for an arterial system | |
Karar | Practical microcontroller-based simulator of graphical heart sounds with disorders | |
CN102156805B (zh) | 胸外按压生理反馈信号模拟器 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 21759740 Country of ref document: EP Kind code of ref document: A2 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
ENP | Entry into the national phase |
Ref document number: 2021759740 Country of ref document: EP Effective date: 20220926 |