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1. WO2021145721 - METHOD FOR DIAGNOSING SLEEP APNEA SYNDROME BY USING MACHINE LEARNING

Publication Number WO/2021/145721
Publication Date 22.07.2021
International Application No. PCT/KR2021/000592
International Filing Date 15.01.2021
IPC
G16H 50/50 2018.1
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
50for simulation or modelling of medical disorders
G16H 50/20 2018.1
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
G16H 30/20 2018.1
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
20for handling medical images, e.g. DICOM, HL7 or PACS
G06N 20/00 2019.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
A61B 6/00 2006.1
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
A61B 5/00 2006.1
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
CPC
A61B 5/021
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
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
021Measuring pressure in heart or blood vessels
A61B 5/087
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
08Detecting, measuring or recording devices for evaluating the respiratory organs
087Measuring breath flow
A61B 5/107
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
103Detecting, measuring or recording devices for testing the shape, pattern, ; colour,; size or movement of the body or parts thereof, for diagnostic purposes
107Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 5/4818
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
48Other medical applications
4806Sleep evaluation
4818Sleep apnoea
A61B 5/7264
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
72Signal processing specially adapted for physiological signals or for diagnostic purposes
7235Details of waveform analysis
7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
A61B 5/7267
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
72Signal processing specially adapted for physiological signals or for diagnostic purposes
7235Details of waveform analysis
7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
7267involving training the classification device
Applicants
  • 연세대학교 산학협력단 INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY [KR]/[KR]
Inventors
  • 이준상 LEE, Joon Sang
  • 조형주 CHO, Hyung Ju
  • 최윤정 CHOI, Yoon Jeong
  • 정휘동 JUNG, Hwi Dong
  • 류수지 RYU, Susie
Agents
  • 특허법인 플러스 PLUS INTERNATIONAL IP LAW FIRM
Priority Data
10-2020-000670017.01.2020KR
Publication Language Korean (KO)
Filing Language Korean (KO)
Designated States
Title
(EN) METHOD FOR DIAGNOSING SLEEP APNEA SYNDROME BY USING MACHINE LEARNING
(FR) PROCÉDÉ POUR DIAGNOSTIQUER UN SYNDROME D'APNÉE DU SOMMEIL PAR APPRENTISSAGE AUTOMATIQUE
(KO) 기계학습을 이용한 수면무호흡증 진단방법
Abstract
(EN)
The present invention relates to a method for diagnosing a sleep apnea syndrome by using machine learning. The purpose of the present invention is to provide a method for diagnosing a sleep apnea syndrome by using machine learning, the method diagnosing whether or not there is a sleep apnea syndrome by extracting, from the geometric shape of an airway, parameters associated with the sleep apnea syndrome and performing machine learning by using data calculated via simulation. The other purpose of the present invention is to provide a method for diagnosing a sleep apnea syndrome by using machine learning, the method improving the accuracy of the diagnosis of a sleep apnea syndrome and presenting a quantitative standard by diagnosing, from the geometric shape of an airway, whether or not there is the sleep apnea syndrome, as described above.
(FR)
La présente invention concerne un procédé pour diagnostiquer un syndrome d'apnée du sommeil par l'utilisation d'un apprentissage automatique. Le but de la présente invention est de fournir un procédé pour diagnostiquer un syndrome d'apnée du sommeil par l'utilisation d'un apprentissage automatique, le procédé permettant de diagnostiquer s'il existe ou non un syndrome d'apnée du sommeil par l'extraction, à partir de la forme géométrique d'une voie aérienne, des paramètres associés au syndrome d'apnée du sommeil et la réalisation d'un apprentissage automatique en utilisant des données calculées par simulation. L'autre objectif de la présente invention est de fournir un procédé pour diagnostiquer un syndrome d'apnée du sommeil par l'utilisation d'un apprentissage automatique, le procédé améliorant la précision du diagnostic d'un syndrome d'apnée du sommeil et présentant une norme quantitative en diagnostiquant, à partir de la forme géométrique d'une voie aérienne, la présence ou non d'un syndrome d'apnée du sommeil, comme décrit ci-dessus.
(KO)
본 발명은 기계학습을 이용한 수면무호흡증 진단방법에 관한 것이다. 본 발명의 목적은, 기도의 기하학적 형상으로부터 수면무호흡증과 관련된 매개변수들을 추출하고 시뮬레이션을 통해 산출한 데이터를 사용하여 기계학습을 수행함으로써 수면무호흡증 여부를 진단하는, 기계학습을 이용한 수면무호흡증 진단방법을 제공함에 있다. 본 발명의 다른 목적은, 상술한 바와 같이 기도의 기하학적 형상으로부터 수면무호흡증 여부를 진단함으로써, 수면무호흡증 진단의 정확성을 향상하고 정량적 표준을 제시하는, 기계학습을 이용한 수면무호흡증 진단방법을 제공함에 있다.
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