JP2021518246A - 被検者の呼吸イベントを検出するための方法及びシステム並びに呼吸イベントを検出するためのモデルを形成するための方法 - Google Patents
被検者の呼吸イベントを検出するための方法及びシステム並びに呼吸イベントを検出するためのモデルを形成するための方法 Download PDFInfo
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- JP2021518246A JP2021518246A JP2021500335A JP2021500335A JP2021518246A JP 2021518246 A JP2021518246 A JP 2021518246A JP 2021500335 A JP2021500335 A JP 2021500335A JP 2021500335 A JP2021500335 A JP 2021500335A JP 2021518246 A JP2021518246 A JP 2021518246A
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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
- A61B5/08—Measuring devices for evaluating the respiratory organs
- A61B5/085—Measuring impedance of respiratory organs or lung elasticity
- A61B5/086—Measuring impedance of respiratory organs or lung elasticity by impedance pneumography
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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
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4818—Sleep apnoea
-
- 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
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- 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
-
- 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
- G16H50/20—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
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
-
- 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 for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- 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 for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/024—Measuring pulse rate or heart rate
- A61B5/02416—Measuring pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
-
- 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- 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
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- 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)
- Artificial Intelligence (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Physiology (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Pulmonology (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Fuzzy Systems (AREA)
- Computing Systems (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- General Engineering & Computer Science (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP18162591.4 | 2018-03-19 | ||
| EP18162591 | 2018-03-19 | ||
| PCT/EP2019/056222 WO2019179836A1 (en) | 2018-03-19 | 2019-03-13 | A method and a system for detecting a respiratory event of a subject and a method for forming a model for detecting a respiratory event |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2021518246A true JP2021518246A (ja) | 2021-08-02 |
| JP2021518246A5 JP2021518246A5 (enExample) | 2022-03-15 |
Family
ID=61800296
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021500335A Pending JP2021518246A (ja) | 2018-03-19 | 2019-03-13 | 被検者の呼吸イベントを検出するための方法及びシステム並びに呼吸イベントを検出するためのモデルを形成するための方法 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11903724B2 (enExample) |
| EP (1) | EP3768150A1 (enExample) |
| JP (1) | JP2021518246A (enExample) |
| CA (1) | CA3094421A1 (enExample) |
| WO (1) | WO2019179836A1 (enExample) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11139048B2 (en) | 2017-07-18 | 2021-10-05 | Analytics For Life Inc. | Discovering novel features to use in machine learning techniques, such as machine learning techniques for diagnosing medical conditions |
| US11062792B2 (en) | 2017-07-18 | 2021-07-13 | Analytics For Life Inc. | Discovering genomes to use in machine learning techniques |
| CN111248916B (zh) * | 2020-01-03 | 2023-08-11 | 博博科技(苏州)有限公司 | Bcg信号的ahi指数检测方法 |
| CA3182264A1 (en) * | 2020-06-18 | 2021-12-23 | Cagri CERRAHOGLU | Event model training using in situ data |
| CA3089395A1 (en) * | 2020-06-18 | 2021-12-18 | University Of Manitoba | Systems and methods for screening obstructive sleep apnea during wakefulness using anthropometric information and tracheal breathing sounds |
| US12318185B2 (en) | 2020-08-20 | 2025-06-03 | Samsung Electronics Co., Ltd. | Breathing measurement and management using an electronic device |
| RU2766046C1 (ru) * | 2020-12-22 | 2022-02-07 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Рязанский государственный радиотехнический университет имени В.Ф. Уткина" | Способ дистанционной регистрации процесса дыхания пациента и устройство для его осуществления |
| CN113273992B (zh) * | 2021-05-11 | 2023-04-18 | 清华大学深圳国际研究生院 | 信号处理方法及装置 |
| EP4088651A1 (en) * | 2021-05-12 | 2022-11-16 | Ectosense NV | Method for detecting sleep disordering events |
| CN114831604B (zh) * | 2022-04-19 | 2025-04-15 | 清华大学深圳国际研究生院 | 一种呼吸事件检测方法及装置 |
| CN115804585B (zh) * | 2023-02-08 | 2023-06-13 | 浙江大学 | 一种基于机械通气波形检测气道高阻力的方法及系统 |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10295695A (ja) * | 1997-04-30 | 1998-11-10 | Mitsubishi Chem Corp | 無呼吸検出器 |
| JP2003116805A (ja) * | 2001-10-12 | 2003-04-22 | Sekisui Chem Co Ltd | 電気特性測定装置 |
| US20050256420A1 (en) * | 2004-05-12 | 2005-11-17 | Norman Robert G | System and method for classifying patient's breathing using artificial neural network |
| JP2008520324A (ja) * | 2004-11-19 | 2008-06-19 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | コンピュータ支援による肺結節誤検出低減における不均衡なケース数を克服するための層化方法 |
| JP2010540124A (ja) * | 2007-10-02 | 2010-12-24 | コンピュメディクス メディカル イノベーション ピーティーワイ リミテッド | 心電図から導出された無呼吸/低呼吸指数 |
| JP2013138706A (ja) * | 2011-12-28 | 2013-07-18 | Nippon Koden Corp | 睡眠中における無呼吸低呼吸状態の検出装置 |
| JP2016059804A (ja) * | 2014-09-12 | 2016-04-25 | パナソニックIpマネジメント株式会社 | 生体信号判定装置、方法およびコンピュータプログラム |
| JP2017045331A (ja) * | 2015-08-27 | 2017-03-02 | キヤノン株式会社 | 画像処理方法、画像処理装置、及びプログラム |
| JP2018504166A (ja) * | 2014-12-08 | 2018-02-15 | ユニヴァーシティ オブ ワシントン | 対象の運動を識別するシステム及び方法 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6641542B2 (en) * | 2001-04-30 | 2003-11-04 | Medtronic, Inc. | Method and apparatus to detect and treat sleep respiratory events |
| IES20030467A2 (en) | 2003-06-24 | 2005-02-09 | Univ Dublin | Methods for detecting sleep apnea using bioimpedance measurements |
| US20130172759A1 (en) | 2011-08-08 | 2013-07-04 | Richard J. Melker | Systems And Methods For Using Photoplethysmography In The Administration Of Narcotic Reversal Agents |
| CN104584022B (zh) * | 2012-06-21 | 2018-11-16 | 菲利普莫里斯生产公司 | 一种生成生物标记签名的系统及方法 |
| EP3060118A4 (en) * | 2013-10-24 | 2017-07-19 | Breathevision Ltd. | Motion monitor |
-
2019
- 2019-03-13 WO PCT/EP2019/056222 patent/WO2019179836A1/en not_active Ceased
- 2019-03-13 US US16/981,931 patent/US11903724B2/en active Active
- 2019-03-13 JP JP2021500335A patent/JP2021518246A/ja active Pending
- 2019-03-13 CA CA3094421A patent/CA3094421A1/en active Pending
- 2019-03-13 EP EP19709952.6A patent/EP3768150A1/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10295695A (ja) * | 1997-04-30 | 1998-11-10 | Mitsubishi Chem Corp | 無呼吸検出器 |
| JP2003116805A (ja) * | 2001-10-12 | 2003-04-22 | Sekisui Chem Co Ltd | 電気特性測定装置 |
| US20050256420A1 (en) * | 2004-05-12 | 2005-11-17 | Norman Robert G | System and method for classifying patient's breathing using artificial neural network |
| JP2008520324A (ja) * | 2004-11-19 | 2008-06-19 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | コンピュータ支援による肺結節誤検出低減における不均衡なケース数を克服するための層化方法 |
| JP2010540124A (ja) * | 2007-10-02 | 2010-12-24 | コンピュメディクス メディカル イノベーション ピーティーワイ リミテッド | 心電図から導出された無呼吸/低呼吸指数 |
| JP2013138706A (ja) * | 2011-12-28 | 2013-07-18 | Nippon Koden Corp | 睡眠中における無呼吸低呼吸状態の検出装置 |
| JP2016059804A (ja) * | 2014-09-12 | 2016-04-25 | パナソニックIpマネジメント株式会社 | 生体信号判定装置、方法およびコンピュータプログラム |
| JP2018504166A (ja) * | 2014-12-08 | 2018-02-15 | ユニヴァーシティ オブ ワシントン | 対象の運動を識別するシステム及び方法 |
| JP2017045331A (ja) * | 2015-08-27 | 2017-03-02 | キヤノン株式会社 | 画像処理方法、画像処理装置、及びプログラム |
Non-Patent Citations (2)
| Title |
|---|
| GOMES HEITOR MURILO ET AL.: ""A Survey on Ensemble Learning for Data Stream Classification"", ACM COMPUTING SURVEYS, vol. 50, no. 2, JPN6023022853, 27 March 2017 (2017-03-27), pages 23 - 1, ISSN: 0005259656 * |
| KRAWCZYK BARTOSZ ET AL.: ""Ensemble learning for data stream analysis: A survey"", INFORMATION FUSION, vol. 37, JPN6023022852, 30 September 2017 (2017-09-30), pages 132 - 156, ISSN: 0005259657 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CA3094421A1 (en) | 2019-09-26 |
| EP3768150A1 (en) | 2021-01-27 |
| US11903724B2 (en) | 2024-02-20 |
| US20210030353A1 (en) | 2021-02-04 |
| WO2019179836A1 (en) | 2019-09-26 |
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