KR102154652B1 - 순환신경망을 이용한 구간혈압 추정 방법 및 그 방법을 구현하기 위한 구간 혈압 추정 장치 - Google Patents

순환신경망을 이용한 구간혈압 추정 방법 및 그 방법을 구현하기 위한 구간 혈압 추정 장치 Download PDF

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KR102154652B1
KR102154652B1 KR1020180077820A KR20180077820A KR102154652B1 KR 102154652 B1 KR102154652 B1 KR 102154652B1 KR 1020180077820 A KR1020180077820 A KR 1020180077820A KR 20180077820 A KR20180077820 A KR 20180077820A KR 102154652 B1 KR102154652 B1 KR 102154652B1
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South Korea
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blood pressure
time
pulse wave
user
biosignal
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KR1020180077820A
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Korean (ko)
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KR20200004667A (ko
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김희찬
이준녕
이사람
선석규
박종현
양승만
손장재
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서울대학교산학협력단
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Priority to KR1020180077820A priority Critical patent/KR102154652B1/ko
Priority to PCT/KR2019/007945 priority patent/WO2020009387A1/fr
Publication of KR20200004667A publication Critical patent/KR20200004667A/ko
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Publication of KR102154652B1 publication Critical patent/KR102154652B1/ko

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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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/021Measuring pressure in heart or blood vessels
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02416Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • A61B5/0402
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1102Ballistocardiography
    • 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]

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Cardiology (AREA)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Physiology (AREA)
  • Artificial Intelligence (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Vascular Medicine (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
KR1020180077820A 2018-07-04 2018-07-04 순환신경망을 이용한 구간혈압 추정 방법 및 그 방법을 구현하기 위한 구간 혈압 추정 장치 KR102154652B1 (ko)

Priority Applications (2)

Application Number Priority Date Filing Date Title
KR1020180077820A KR102154652B1 (ko) 2018-07-04 2018-07-04 순환신경망을 이용한 구간혈압 추정 방법 및 그 방법을 구현하기 위한 구간 혈압 추정 장치
PCT/KR2019/007945 WO2020009387A1 (fr) 2018-07-04 2019-07-01 Procédé pour estimer la pression artérielle segmentaire par utilisation d'un réseau de neurones récurrents et appareil d'estimation de pression artérielle segmentaire pour mettre en œuvre le procédé

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020180077820A KR102154652B1 (ko) 2018-07-04 2018-07-04 순환신경망을 이용한 구간혈압 추정 방법 및 그 방법을 구현하기 위한 구간 혈압 추정 장치

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Publication Number Publication Date
KR20200004667A KR20200004667A (ko) 2020-01-14
KR102154652B1 true KR102154652B1 (ko) 2020-09-11

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KR (1) KR102154652B1 (fr)
WO (1) WO2020009387A1 (fr)

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Publication number Priority date Publication date Assignee Title
KR102426291B1 (ko) * 2020-07-28 2022-07-29 주식회사 소프트웨어융합연구소 머신러닝을 이용한 고혈압 예측시스템에서 수행되는 고혈압 예측방법 및 시스템, 이를 수행하는 컴퓨터 프로그램
KR102395962B1 (ko) * 2020-08-12 2022-05-11 한국표준과학연구원 커프 압력신호 및 혈관음을 활용한 혈압 측정 방법
KR102612049B1 (ko) * 2021-03-16 2023-12-11 한국전자통신연구원 딥러닝 기반의 비침습 동맥혈압 추정 방법 및 시스템
DE102021205185B3 (de) 2021-05-20 2022-11-03 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein Verfahren und System zur Bestimmung eines ABP-Signals

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DK0621104T3 (da) 1993-04-23 1996-02-19 Balcke Duerr Ag Fremgangsmåde og indretning til fremstilling af varmevekslerelementer såvel som tilhørende ribberør
KR102198953B1 (ko) * 2014-03-12 2021-01-05 삼성전자주식회사 병렬 생체 신호 프로세서 및 병렬 생체 신호 프로세서의 제어 방법
US9767557B1 (en) 2016-06-23 2017-09-19 Siemens Healthcare Gmbh Method and system for vascular disease detection using recurrent neural networks

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Haihan Lan, "The Softmax Function, Neural Net Outputs as Probabilities and Ensemble Classifiers", 2017.11.13, 페이지 1-8 1부.*
Keerthana Natarajan 등, "Central Blood Pressure Monitor via a Standard Automatic Arm Cuff", SCIENTIFIC REPORTS, 2017.10.31, 페이지 1-12 1부.*
Peng Su 외 5명, "Long-term blood pressure prediction with deep recurrent neural network", IEEE EMBS International Conference on Biomedical & Health Informatics(BHI), 2018.05, 페이지 323-328 1부.*
Sergiy Fefilatyev 등, "Label-noise reduction with support vector machines", 21st International Conference on Pattern Recongition (ICPR 2012), 2012.11, 페이지 3504-3508 1부.*

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KR20200004667A (ko) 2020-01-14
WO2020009387A1 (fr) 2020-01-09

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