WO2015194833A1 - Appareil et procédé d'analyse du bruit respiratoire pendant le sommeil - Google Patents

Appareil et procédé d'analyse du bruit respiratoire pendant le sommeil Download PDF

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Publication number
WO2015194833A1
WO2015194833A1 PCT/KR2015/006095 KR2015006095W WO2015194833A1 WO 2015194833 A1 WO2015194833 A1 WO 2015194833A1 KR 2015006095 W KR2015006095 W KR 2015006095W WO 2015194833 A1 WO2015194833 A1 WO 2015194833A1
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WO
WIPO (PCT)
Prior art keywords
waveform
state
intake
exhalation
erosion
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PCT/KR2015/006095
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English (en)
Korean (ko)
Inventor
고쇼이
Original Assignee
고쇼이
가부시키가이샤 이료후쿠시고가쿠겐큐쇼
주식회사 마스테코
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Application filed by 고쇼이, 가부시키가이샤 이료후쿠시고가쿠겐큐쇼, 주식회사 마스테코 filed Critical 고쇼이
Publication of WO2015194833A1 publication Critical patent/WO2015194833A1/fr

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    • 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
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/091Measuring volume of inspired or expired gases, e.g. to determine lung capacity

Definitions

  • the present invention relates to an erosion respiratory sound analysis device and method for analyzing the measured erosion breathing sound (sleeping sound when sleeping) to determine apnea and low respiration state during sleep or sleep. will be.
  • a sensor or the like In the conventional sleep measurement apparatus, a sensor or the like must be attached to the body or anesthetized by the subject, which not only consumes a lot of time and quality, but also interferes with sleep.
  • the precision was not high, such as a large deviation in the measurement result depending on the operation of the device or the sleeping mode.
  • Patent Document 1 Japanese Patent Laid-Open No. 2014-64675 discloses that an exhalation sound generator is attached to cover a subject's nose and / or mouth to convert a respiratory sound into a high frequency sound.
  • An apnea detection system that can detect apnea with no restraint and low invasiveness by receiving and interpreting is described.
  • Patent Document 2 Japanese Patent Laid-Open No. 2006-320641 discloses quantitatively determining the presence or absence of apnea during sleep by causing an artificial short-time sleep caused by anesthesia to the subject, and analyzing the breathing sound of the subject during sleep. A system is described.
  • Patent Document 1 Japanese Patent Application Laid-Open No. 2014-64675
  • Patent Document 2 Japanese Patent Application Laid-Open No. 2006-320641
  • the present invention detects the erosion breathing sound of a person sleeping in a natural state and collects a microphone or a microphone installed near the face, and detects the erosion breathing sound.
  • the purpose of the present invention is to provide an erosion respiratory sound analyzing apparatus and method capable of accurately determining the apnea and low breathing in the sleep state or the sleep state and estimating the oxygen intake state by accurately analyzing the data.
  • the invention according to Claim 1 includes: erosion breathing sound detecting means for detecting erosion breathing sound of the subject; Respiratory feature waveform acquisition means for obtaining respiratory feature waveforms on the basis of the erosion signal detected by the erosion respiratory sound detection means; Breathing waveform discriminating means for discriminating an intake waveform and an exhalation waveform in said breathing characteristic waveform; The time interval of the inhalation waveform, the time interval of the aerobic waveform, the time interval of the aerobic waveform to the aerobic waveform, the time interval of the aerobic waveform to the aerobic waveform, the time interval of the intake waveform, the time width of the aerobic waveform, Feature value extracting means for extracting one or a plurality of feature values selected from the amplitude value of the waveform and the amplitude value of the expiratory waveform; State determination means for performing the determination of the subject's sleep state, the apnea state or low breath state, or the estimation of oxygen intake state in the predetermined period based on one or a plurality of feature values in a predetermined period; Er
  • the feature value extracting means extracts at least an amplitude value of the intake waveform and an amplitude value of the exhalation waveform
  • the state determining means includes: The apnea of the subject on the basis of a change in the proportion of the time width of the portion where the amplitude value of the intake waveform and the amplitude value of the exhalation waveform exceed the threshold set for each period in the predetermined period. It is characterized in that the determination of the state or hyporespiratory state or the estimation of the oxygen intake state.
  • the feature value extracting means extracts at least the time interval of the aerobic waveform from the intake waveform and the time interval of the intake waveform from the exhalation waveform
  • the state determining means is based on the number of times of extraction or the sum of the time intervals in which the time intervals from the intake waveform to the exhalation waveform or the time interval from the exhalation waveform to the intake waveform exceed a threshold for each period. It is characterized in that the determination of the apnea state or low breathing state or the estimation of the oxygen intake state.
  • the feature value extracting means extracts at least a time interval of the intake waveform or a time interval of the aerobic waveform
  • the state determining means includes: Whether the subject's sleep state is REM (rapid eye movement) sleep or non-REM sleep based on a change in the time interval of the intake waveform or the time interval of the expiratory waveform in the predetermined period. Characterized in that the determination of.
  • the feature value extracting means includes at least the time width of the intake waveform and the time width of the exhalation waveform or the amplitude value of the intake waveform and The amplitude value of the exhalation waveform is extracted, and the state determining means has a length relationship between the time width of the intake waveform and the time width of the exhalation waveform or the amplitude value of the intake waveform and the amplitude of the exhalation waveform in the predetermined period. Based on the magnitude relationship of the values, it is characterized in that the subject determines whether or not the subject is hypoxic.
  • the invention according to claim 6, further comprising: detecting an erosion breathing sound of the subject to obtain an erosion signal; Obtaining a respiratory characteristic waveform based on the erosion signal; Determining an intake waveform and an exhalation waveform in the respiratory characteristic waveform; The time interval of the inhalation waveform, the time interval of the aerobic waveform, the time interval of the aerobic waveform to the aerobic waveform, the time interval of the aerobic waveform to the aerobic waveform, the time interval of the intake waveform, the time width of the aerobic waveform, Extracting one or a plurality of feature values selected from amplitude values of the waveforms and amplitude values of the expiratory waveforms; Performing the determination of the subject's sleep state, the apnea state or low breath state, or the estimation of the oxygen intake state, based on the one or a plurality of feature values in a predetermined period. Erosion breathing sound analysis method.
  • the respiratory characteristic waveform acquiring means for obtaining the respiratory characteristic waveform based on the erosion signal detected by the erosive respiratory sound detection means, and the intake waveform and the aerobic waveform in the respiratory characteristic waveform Since a respiratory waveform discriminating means for discriminating is provided, the feature value extracting means makes a time interval for the intake waveform, a time interval for the aerobic waveform, a time interval for the aerobic waveform to the aerobic waveform, a time interval for the intake waveform to the intake waveform, and an intake waveform.
  • One or a plurality of feature values selected from the time width, the time width of the exhalation waveform, the amplitude value of the intake waveform, and the amplitude value of the exhalation waveform can be extracted.
  • erosion breathing sound detecting means 3 (collecting microphone, etc.) for detecting erosion breathing sound is installed around the 'nose' portion of the subject 2 who is sleeping in a private house, nursing home facility, etc. (1). do.
  • the erosion respiratory sound detection means 3 (collecting microphone, etc.) is installed around the 'nose' portion of the subject 2 who is sleeping, but the It may be provided in a bed head, an upper side (ceiling, etc.), a bookshelf or a lighting fixture in the vicinity of the head of the subject 2, or a pajama worn by the subject 2.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Pulmonology (AREA)
  • Physiology (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

L'objet de la présente invention est de détecter le bruit respiratoire pendant le sommeil d'une personne qui dort à l'état naturel, et de déterminer, avec une excellente précision, un état de consommation d'oxygène, etc. à l'état endormi ou pendant le sommeil sur la base d'un signal détecté pendant le sommeil. La solution selon l'invention consiste à transmettre le signal d'un sujet (2) pendant le sommeil, ledit signal ayant été détecté par un moyen (3) de détection de bruit respiratoire pendant le sommeil, à un appareil (6) d'analyse de bruit respiratoire pendant le sommeil par l'intermédiaire d'un terminal portatif (5). L'appareil (6) d'analyse de bruit respiratoire pendant le sommeil comprend : un moyen d'acquisition de forme d'onde caractéristique de la respiration destiné à traiter le signal pendant le sommeil et à acquérir ainsi une forme d'onde caractéristique de la respiration ; un moyen de différenciation des formes d'onde de respiration destiné à différencier une forme d'onde d'inhalation d'une forme d'onde d'expiration dans la forme d'onde caractéristique de la respiration ; un moyen d'extraction de valeur caractéristique destiné à extraire une ou une pluralité de valeurs caractéristiques sélectionnées parmi la forme d'onde d'inhalation, la forme d'onde d'expiration, chaque intervalle de temps allant de la forme d'onde d'expiration à la forme d'onde d'expiration ou allant de la forme d'onde d'expiration à la forme d'onde d'inhalation, l'intervalle de temps de la forme d'onde d'inhalation, l'intervalle de temps de la forme d'onde d'expiration, la valeur de l'amplitude de la forme d'onde d'inhalation, et la valeur de l'amplitude de la forme d'onde d'expiration ; et un moyen de détermination de l'état destiné, sur la base des valeurs caractéristiques extraites, à déterminer l'état de sommeil du sujet (2), à déterminer un état d'apnée ou un état d'hypopnée ou à estimer un état de consommation d'oxygène.
PCT/KR2015/006095 2014-06-16 2015-06-16 Appareil et procédé d'analyse du bruit respiratoire pendant le sommeil WO2015194833A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2014123432A JP6315576B2 (ja) 2014-06-16 2014-06-16 寝息呼吸音解析装置及び方法
JP2014-123432 2014-06-16

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WO2015194833A1 true WO2015194833A1 (fr) 2015-12-23

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WO (1) WO2015194833A1 (fr)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018122217A1 (fr) * 2016-12-28 2018-07-05 Koninklijke Philips N.V. Procédé de caractérisation de troubles respiratoires du sommeil
US20190343453A1 (en) * 2016-12-28 2019-11-14 Koninklijke Philips N.V. Method of characterizing sleep disordered breathing
JP2019217233A (ja) * 2018-06-20 2019-12-26 株式会社モノプロダイム 睡眠評価装置とそれを利用した睡眠制御方法
KR102031295B1 (ko) * 2018-06-28 2019-10-11 충남대학교산학협력단 비강 에너지 변화 측정 시스템 및 그 측정 방법
JP7141617B2 (ja) 2018-07-10 2022-09-26 Cyberdyne株式会社 生理状態評価装置
CN110710954A (zh) * 2019-09-20 2020-01-21 长沙友记互娱网络信息有限公司 一种通过声音采集检测睡眠质量的方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5797852A (en) * 1993-02-04 1998-08-25 Local Silence, Inc. Sleep apnea screening and/or detecting apparatus and method
JP2005160644A (ja) * 2003-12-01 2005-06-23 Sousei Denshi:Kk 呼吸データ収集システム
JP2006167427A (ja) * 2004-11-22 2006-06-29 Aisin Seiki Co Ltd 睡眠情報検出システム
JP2013524919A (ja) * 2010-04-21 2013-06-20 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 呼吸運動検出装置
JP2014064675A (ja) * 2012-09-25 2014-04-17 Yamaguchi Prefectural Industrial Technology Institute 非拘束無呼吸検知システムとその方法とそのプログラム

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US5549655A (en) * 1994-09-21 1996-08-27 Medtronic, Inc. Method and apparatus for synchronized treatment of obstructive sleep apnea
US8630704B2 (en) * 2007-06-25 2014-01-14 Cardiac Pacemakers, Inc. Neural stimulation with respiratory rhythm management
JP2013123495A (ja) * 2011-12-13 2013-06-24 Sharp Corp 呼吸音解析装置、呼吸音解析方法、呼吸音解析プログラムおよび記録媒体

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5797852A (en) * 1993-02-04 1998-08-25 Local Silence, Inc. Sleep apnea screening and/or detecting apparatus and method
JP2005160644A (ja) * 2003-12-01 2005-06-23 Sousei Denshi:Kk 呼吸データ収集システム
JP2006167427A (ja) * 2004-11-22 2006-06-29 Aisin Seiki Co Ltd 睡眠情報検出システム
JP2013524919A (ja) * 2010-04-21 2013-06-20 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 呼吸運動検出装置
JP2014064675A (ja) * 2012-09-25 2014-04-17 Yamaguchi Prefectural Industrial Technology Institute 非拘束無呼吸検知システムとその方法とそのプログラム

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JP6315576B2 (ja) 2018-04-25

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