WO2022075105A1 - 喘息症状管理システム、及び喘息症状管理システムを備える衣類 - Google Patents

喘息症状管理システム、及び喘息症状管理システムを備える衣類 Download PDF

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Publication number
WO2022075105A1
WO2022075105A1 PCT/JP2021/035321 JP2021035321W WO2022075105A1 WO 2022075105 A1 WO2022075105 A1 WO 2022075105A1 JP 2021035321 W JP2021035321 W JP 2021035321W WO 2022075105 A1 WO2022075105 A1 WO 2022075105A1
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WIPO (PCT)
Prior art keywords
predetermined period
average
specific information
heartbeat
information
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Ceased
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PCT/JP2021/035321
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English (en)
French (fr)
Japanese (ja)
Inventor
翔太 森本
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Toyobo Co Ltd
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Toyobo Co Ltd
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Priority to JP2022555374A priority Critical patent/JPWO2022075105A1/ja
Publication of WO2022075105A1 publication Critical patent/WO2022075105A1/ja
Anticipated expiration legal-status Critical
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Instruments for taking body samples for diagnostic purposes; Other methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determination; Throat striking implements
    • 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
    • A61B5/0245—Measuring pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/113—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing

Definitions

  • the present invention relates to an asthma symptom management system and clothing provided with an asthma symptom management system.
  • Patent Document 1 includes a step of measuring a biomarker in a blood sample of an asthma patient and a step of determining the possibility of a severe attack of an asthma patient based on the measured value of the biomarker. Discloses methods that help predict the likelihood of severe seizures in asthmatic patients, including interleukin-17 (IL-17).
  • IL-17 interleukin-17
  • a specific information generator including a signal receiving unit capable of receiving a signal by wire and the specific information generating unit is provided, and the specific information generator is connected to the information processing device [22] to The asthma symptom management system according to any one of [24].
  • Symptom management system. [28]
  • the asthma according to any one of [22] to [27] which comprises a chest circumference measuring device including the chest circumference measuring section, and the chest circumference measuring device is connected to the information processing device.
  • Symptom management system. Clothing provided with the asthma symptom management system according to any one of [1] to [28].
  • Equations (1) and (2) compare the current biological information of the living body with the biological information one minute or more ago to determine whether or not the living body has a sign of an asthma attack or a mild asthma attack. It is an index. Since the biometric information of a sign of asthma attack or a mild attack of asthma fluctuates more slowly than that of a severe attack, there is little difference in fluctuation even when comparing the biometric information of adjacent predetermined periods, and it is difficult to discriminate the sign of the attack. On the other hand, it is possible to easily determine the sign of a seizure or the like by comparing with the biological information one minute or more ago. Therefore, the time interval between the end point of the first predetermined period and the start point of the second predetermined period is preferably 2 minutes or more, more preferably 5 minutes or more. On the other hand, the upper limit of the time interval is not particularly limited, but may be 72 hours or less, or may be 1 hour or less.
  • the specific information generation unit 30 is controlled so as to generate the specific information S1 when the above equation (1) or equation (2) is satisfied. Further, in the specific information generation unit 30, either the average value of the breathing frequency and the average value of the heartbeat frequency satisfy the equation (1), or the average value of the breathing interval and the average value of the heartbeat interval are the equations (2), respectively. ) Satisfying the above conditions, it is more preferable that the specific information S1 is controlled to be generated.
  • both the average value of the frequency of respiration and the average value of the frequency of heartbeat are used in calculating the formula (1), it is preferable to independently apply the average value to the formula (1) for calculation. In this case, each B1 may have a different value, and each B2 may have a different value.
  • the average value of the frequency of respiration is, for example, the average of the time intervals between the peaks of the waveform related to the change in impedance in a predetermined period, and the time in the predetermined period divided by the average time interval to obtain the respiratory rate in the predetermined period ( It can be calculated by calculating the number of breaths (times) and dividing the respiratory rate (times) by the time (minutes, etc.) of a predetermined period.
  • the frequency of breathing (times / minute, etc.) per n predetermined times for example, 1 minute
  • the average value of the frequency of n breaths times / minute, etc.
  • n is an integer of 1 or more.
  • C1 in the formula (1) is preferably 2 seconds to 9 seconds, more preferably 3 seconds to 7 seconds, and 4 seconds to 6 seconds. Is even more preferable.
  • C1 is the average value of the heartbeat intervals, C1 is preferably 500 msec to 1000 msec, more preferably 600 msec to 920 msec, and further preferably 650 msec to 860 msec. ..
  • C2 has the same meaning as described above, and C3 is the average value of the breathing and / or heartbeat intervals in the third predetermined period starting from the time point after the end point of the second predetermined period.
  • C3 is the mean value of the breathing interval
  • C2 is the mean value of the heartbeat interval
  • C3 is the mean value of the heartbeat interval.
  • the above formula (6) determines that the rate of change in the average abdominal circumference is larger than the rate of change in the average chest circumference as compared with the sign of an asthma attack in the living body or the occurrence of a mild asthma attack. It is an index to do. That is, it is an index for discriminating that the living body is correctly performing abdominal breathing, and the accuracy of discriminating abdominal breathing is improved by the equation (6).
  • the asthma symptom management system 1 is controlled to satisfy the above equations (5) and / or the above equations (6) in addition to the above equations (3) and / or the above equations (4) before generating the specific information S2. It is preferable that the specific information S2 is controlled to be generated after satisfying the above formulas (5) and (6) in addition to the above formula (3) or the above formula (4).
  • Asthma symptom management system 1 preferably has an information processing unit 20 as shown in FIG.
  • the information processing unit 20 preferably includes an information receiving unit 21, a calculation unit 24, a storage unit 25, and a signal transmitting unit 26.
  • the information obtained from the biometric information acquisition unit 10 is transmitted to, for example, the information receiving unit 21 of the information processing unit 20, and then the biometric information via the calculation unit 24, the storage unit 25, and the like.
  • the signal is transmitted from the signal transmission unit 26 to the specific information generation unit 30 if the predetermined requirements such as the above equation (1) are satisfied.
  • the living body information acquisition unit 10 of the asthma symptom management system 1 is brought into contact with the living body to start acquisition of the living body information.
  • the biometric information obtained from the biometric information acquisition unit 10 is transmitted to the information receiving unit 21 of the information processing unit 20, and then transmitted to the arithmetic unit 24.
  • the calculation unit 24 calculates the average value A1 of the heartbeat frequency per predetermined period, and the value is stored in the storage unit 25 as the average value of the heartbeat frequency in the first predetermined period.
  • a part or all of the biological information obtained from the biological information acquisition unit 10 in the first predetermined period may be transmitted to the storage unit 25 and stored, and the calculation unit 24 may store the stored information.
  • the average value A1 of the frequency of heartbeats may be calculated.
  • biometric information obtained from the biometric information acquisition unit 10 in the third predetermined period may be partially or wholly transmitted to the storage unit 25 and stored, and the arithmetic unit 24 may be stored based on the stored information. May calculate the average value A3 of the frequency of heartbeats.
  • the arithmetic unit 24 executes, for example, a computer program stored in the storage unit 25, and examples of the arithmetic unit constituting the arithmetic unit 24 include a central processing unit (CPU), a microprocessor (MPU), and the like. Examples of the storage device constituting the storage unit 25 include a RAM (RandomAccessMemory), a ROM (ReadOnlyMemory), and a flash memory.
  • the biological information acquisition unit 10, the information processing unit 20, and the specific information generation unit 30 may be independently configured, or two or more units may be integrated.
  • the biological information acquisition unit 10 may have a respiration measurement unit.
  • the breathing measurement unit may be shared with the abdominal circumference measurement unit 41 or the chest circumference measurement unit 42. Further, each of these parts may be connected in a wired form, or each part may not be connected and may be in a form of transmitting and receiving signals wirelessly.
  • the information processor preferably has a rectangular parallelepiped shape or a cubic shape, and more preferably a rectangular parallelepiped shape.
  • the information processor is preferably small, and when it has a rectangular parallelepiped shape, the area of one main surface is preferably 3000 mm 2 or less, and more preferably 1500 mm 2 or less. Further, the area of one main surface may be 100 mm 2 or more, or 500 mm 2 or more.
  • the thickness of the information processor is preferably 50 mm or less, more preferably 20 mm or less, and may be 2 mm or more, or 5 mm or more.
  • FIG. 2 is a flowchart showing an example of a processing procedure performed by the asthma symptom management system 1.
  • the biometric information acquisition unit 10 acquires biometric information (step S1).
  • the arithmetic unit 24 calculates A1 and A2 and / or C1 and C2, and determines whether or not the equations (1) and / or the equation (2) are satisfied (step).
  • step S2 the arithmetic unit 24 generates an instruction signal, and if the above equation is not satisfied, the arithmetic unit 24 does not generate an instruction signal (step S3).
  • the specific information generation unit 30 that receives the command signal generates specific information (step S4). This makes it possible to notify the living body or a third party that a sign of an asthma attack or a mild asthma attack has occurred.
  • the asthma symptom management system 2 may have an activity amount measuring unit 43 for measuring the activity amount of a living body.
  • the activity amount measuring device constituting the activity amount measuring unit 43 include an accelerometer and the like.
  • the amount of activity include an amount of activity expressed in acceleration or angular velocity, and acceleration is preferable. For details of acceleration and angular velocity, refer to the description in Japanese Patent Application Laid-Open No. 2019-047982.
  • the biological information acquisition device constituting the biological information acquisition unit 10 and the information processing device constituting the information processing unit 20 may be fixed to the clothing, or may be detachably fixed to the clothing. It is preferable that the biometric information acquirer is fixed to clothing and the information processor is detachably fixed. Since the information processor is removable, it is possible to remove the information processor, which is easily damaged by washing, from the clothes and wash the clothes.
  • the abdominal circumference measuring device, the chest circumference measuring device, and the activity amount measuring device are preferably fixed to clothing.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biomedical Technology (AREA)
  • Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Physiology (AREA)
  • Biophysics (AREA)
  • Physics & Mathematics (AREA)
  • Cardiology (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Signal Processing (AREA)
  • Pulmonology (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
PCT/JP2021/035321 2020-10-05 2021-09-27 喘息症状管理システム、及び喘息症状管理システムを備える衣類 Ceased WO2022075105A1 (ja)

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JP2020-168571 2020-10-05
JP2020168571 2020-10-05

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS59177070A (ja) * 1983-03-29 1984-10-06 三菱電機株式会社 腹式呼吸訓練器
JP2009501557A (ja) * 2005-06-21 2009-01-22 アーリーセンス エルティディ 臨床症状の予測および監視技術
JP2011104102A (ja) * 2009-11-17 2011-06-02 Mansankai 健康判定用のｈｒｖ変化検知方法並びに健康判定用のｈｒｖ変化検知装置
JP2012085906A (ja) * 2010-10-21 2012-05-10 Sharp Corp 生体監視装置、生体監視方法、生体監視システム、制御プログラム、および、該制御プログラムを記録した記録媒体
KR20160106958A (ko) * 2015-03-03 2016-09-13 이승환 천식 모니터링 장치 및 방법
US20170258366A1 (en) * 2009-03-30 2017-09-14 Joe P. Tupin, JR. Apparatus and method for continuous noninvasive measurement of respiratory function and events

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS59177070A (ja) * 1983-03-29 1984-10-06 三菱電機株式会社 腹式呼吸訓練器
JP2009501557A (ja) * 2005-06-21 2009-01-22 アーリーセンス エルティディ 臨床症状の予測および監視技術
US20170258366A1 (en) * 2009-03-30 2017-09-14 Joe P. Tupin, JR. Apparatus and method for continuous noninvasive measurement of respiratory function and events
JP2011104102A (ja) * 2009-11-17 2011-06-02 Mansankai 健康判定用のｈｒｖ変化検知方法並びに健康判定用のｈｒｖ変化検知装置
JP2012085906A (ja) * 2010-10-21 2012-05-10 Sharp Corp 生体監視装置、生体監視方法、生体監視システム、制御プログラム、および、該制御プログラムを記録した記録媒体
KR20160106958A (ko) * 2015-03-03 2016-09-13 이승환 천식 모니터링 장치 및 방법

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