WO2016076253A1 - Dispositif de détermination d'état du sommeil, procédé de détermination d'état du sommeil, et programme - Google Patents

Dispositif de détermination d'état du sommeil, procédé de détermination d'état du sommeil, et programme Download PDF

Info

Publication number
WO2016076253A1
WO2016076253A1 PCT/JP2015/081451 JP2015081451W WO2016076253A1 WO 2016076253 A1 WO2016076253 A1 WO 2016076253A1 JP 2015081451 W JP2015081451 W JP 2015081451W WO 2016076253 A1 WO2016076253 A1 WO 2016076253A1
Authority
WO
WIPO (PCT)
Prior art keywords
respiration
variation coefficient
sleep state
respiration rate
sleep
Prior art date
Application number
PCT/JP2015/081451
Other languages
English (en)
Japanese (ja)
Inventor
貴政 木暮
井上　智子
Original Assignee
パラマウントベッド株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by パラマウントベッド株式会社 filed Critical パラマウントベッド株式会社
Publication of WO2016076253A1 publication Critical patent/WO2016076253A1/fr

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording 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—Detecting, measuring or recording 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, mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state

Definitions

  • the present invention relates to a sleep state determination device and the like.
  • Patent Document 1 an invention for determining REM sleep and non-REM sleep using a standard deviation of the heart rate per minute is disclosed (for example, see Patent Document 1).
  • a sleep state estimation device that estimates a sleep state from a variation coefficient of variance of peak intervals of a respiratory waveform and a variation coefficient of dispersion of peak values is known (see, for example, Patent Document 2).
  • the conventional technology uses the breathing cycle / breathing interval and the breathing peak value for evaluation. However, since it is input together with various noises, there is a problem that it is difficult to accurately detect the sleep state from the breathing waveform. .
  • the respiratory waveform changes depending on the mounting position of the wearable sensor and the relative position between the human body and the sensor such as the sleeping position of the non-wearable sensor.
  • the accuracy of the final evaluation result may be improved, but if there is a measurement item with low accuracy, the measurement item There is a problem that the accuracy of the final evaluation result is lowered.
  • Patent Document 1 Patent Document 2, and Patent Document 3, since it is based on a respiratory waveform, there is a problem that it is likely to be influenced by individual differences and determination errors.
  • Patent Document 4 an interval of 20% or more from the descending order of the standard deviation of overnight is determined as REM sleep, but the REM appearance rate is not necessarily 20%, and a large error occurs.
  • Patent Document 1 shallow sleep and deep sleep are discriminated, but non-REM sleep and REM sleep cannot be determined.
  • the present invention aims to provide a simple and accurate non-REM sleep by using, for example, a respiration rate within a predetermined time as biological information within a predetermined time of the measurement subject. It is providing the sleep state determination apparatus etc. which can perform determination of REM sleep.
  • the sleep state determination device of the present invention Respiration detection means for detecting respiration as biological information of the measurement subject; Respiration rate output means for outputting the respiration rate included in the respiration rate calculation time from the detected respiration, Respiration rate variation coefficient calculating means for calculating a respiration rate variation coefficient using an average value of the respiration rates included in a predetermined section and a standard deviation of the respiration rate; An average respiratory rate variation coefficient calculating means for calculating an average respiratory rate variation coefficient that is an average value of the respiratory rate variation coefficients from going to bed, A sleep state determination means for determining a sleep state of the person to be measured by comparing the respiration rate variation coefficient and the average respiration rate variation coefficient; It is characterized by providing.
  • the sleep state determination method of the present invention includes: A respiration detection step for detecting respiration as biological information of the measurement subject; A respiration rate output step of outputting a respiration rate included in the respiration rate calculation time from the detected respiration; A respiration rate variation coefficient calculating step of calculating a respiration rate variation coefficient using an average value of the respiration rates included in a predetermined section and a standard deviation of the respiration rate; An average respiration rate variation coefficient calculating step for calculating an average respiration rate variation coefficient that is an average value of the respiration rate variation coefficient from going to bed, A sleep state determination step for determining a sleep state of the person to be measured by comparing the respiratory rate variation coefficient and the average respiratory rate variation coefficient; It is characterized by providing.
  • the respiration of the measurement subject is detected, and the respiration rate included in the respiration rate calculation time is output from the detected respiration. Further, the respiratory rate variation coefficient is calculated from the average value and standard deviation of the respiratory rates included in the predetermined section.
  • the sleep state of the measurement subject can be determined by comparing the respiration rate variation coefficient with an average respiration rate variation coefficient that is an average value of the respiration rate variation coefficient from going to bed.
  • the sleep state can be determined using the respiration rate as the biological information of the measurement subject. Thereby, it becomes possible to determine a sleep state appropriately by using a simple device for calculating the respiration rate.
  • FIG. 1 is a diagram for explaining a method of using the sleep determination system.
  • the sleep determination system 1 includes a detection device 3 placed between the floor of the bed 10 and the mattress 20, and a processing device 5 for processing values output from the detection device 3. It is prepared for.
  • the detection device 3 and the processing device 5 constitute a sleep state determination device.
  • the detection device 3 detects the body movement (vibration) of the person to be measured P through the mattress 20. Based on the vibration detected as the biological information, the respiration (respiration rate within a predetermined time) of the person to be measured P is detected (output).
  • the detected respiration (number) is transmitted wirelessly to the processing device 5 (for example, a computer).
  • the processing device 5 for example, a computer
  • the detection device 3 is integrally formed by providing a display unit or the like. Also good.
  • the processing apparatus 5 may be a general-purpose apparatus, the processing apparatus 5 is not limited to an information processing apparatus such as a computer, and may be configured by an apparatus such as a tab red or a smartphone.
  • the detection device 3 is configured in a sheet shape so as to be thin. Thereby, even if it is placed between the bed 10 and the mattress 20, it can be used without making the person to be measured P feel uncomfortable.
  • the detection apparatus 3 should just detect the to-be-measured person's P respiration as biometric information.
  • respiration is detected based on body movement.
  • a breathing sound is detected using an audio sensor
  • a body movement of the measurement subject P is detected using an infrared sensor, or the like.
  • An actuator with a gauge may be used.
  • the sleep determination system 1 includes a detection device 3 and a processing device 5.
  • Each functional unit (process) may be realized by either the detection device 3 or the processing device 5 except for the breath detection unit 200.
  • a respiration detection unit 200 In the sleep determination system 1, a respiration detection unit 200, a storage unit 300, an input unit 400, and a display unit 500 are connected to the control unit 100 via a bus.
  • the control unit 100 is a functional unit for controlling the operation of the sleep determination system 1, and is configured by a control circuit necessary for the sleep determination system 1, such as a CPU.
  • the control unit 100 implements various processes by reading and executing various programs stored in the storage unit 300. In the present embodiment, the control unit 100 operates as a whole, but is provided in each of the detection device 3 and the processing device 5.
  • the respiration detection unit 200 is a functional unit for detecting the measurement subject's respiration. In the present embodiment, it is a sensor unit for detecting vibration. The respiration of the measurement subject is detected from the vibration (body motion) detected by the sensor unit. Further, by using the sensor unit, it is possible to detect body movements other than breathing of the measurement subject P such as turning over and heartbeat.
  • the respiration detection unit 200 detects, for example, the vibration (body movement) of the person to be measured using a pressure sensor and detects respiration from the vibration, but the gravity center position (body movement) of the person to be measured using a load sensor. It is good also as detecting respiration by the change of, and you may detect based on the sound which a microphone picks up by providing a microphone. That is, any conventional sensor may be used to detect the respiration rate of the measurement subject.
  • the storage unit 300 is a functional unit that stores various data and programs for the sleep determination system 1 to operate.
  • the control unit 100 implements various functions by reading and executing a program stored in the storage unit 300.
  • the storage unit 300 includes, for example, a semiconductor memory or a magnetic disk device.
  • the storage unit 300 stores a respiration rate table 302 and a variable table 304. Further, a respiratory rate output program 310 and a sleep state determination program 312 are stored as programs.
  • the respiration rate table 302 is a table in which the respiration rate per unit time is calculated from the respiration detected based on the respiration detection unit 200 and stored.
  • the unit time the time of the section for calculating the respiration rate is determined such as “20” seconds, “30” seconds, “1” minutes, and the like.
  • the respiratory rate every 60 seconds is detected and stored.
  • the variable table 304 is an area in which various threshold values and variables are stored.
  • the threshold value ⁇ for example, “1.2”
  • the average respiration rate variation coefficient C for example, “0.06”
  • variables that are temporarily used are also stored.
  • the average respiration rate variation coefficient C stores an average respiration rate variation coefficient in one night (one sleep).
  • the coefficient C is calculated from the respiration rate in the night.
  • the coefficient C may be constantly calculated and updated based on the acquired value.
  • the input unit 400 is a functional unit for the measurer to instruct and operate the sleep determination system 1. For example, it is configured by operation buttons, a touch panel, a voice input device, and the like.
  • the display unit 500 is a functional unit for displaying the sleep state and evaluation, and displaying the operation of the sleep determination system 1.
  • it is configured by a display device such as a liquid crystal display.
  • respiration rate output process for outputting the respiration rate of the measurement subject will be described with reference to FIG.
  • the respiration rate output process is a process realized by reading the respiration rate output program 310 in FIG.
  • Respiration is detected by the respiration detection unit 200 (step S102). Subsequently, it is determined whether or not the respiration rate calculation time has elapsed (step S104). When the respiration rate calculation time has elapsed (step S104; Yes), the respiration rate detected during the respiration rate calculation time is output as a respiration rate to the respiration rate table 302 (step S106). This process is repeatedly executed until the respiration rate output process ends (step S108; No ⁇ step S102).
  • the sleep state determination process is a process realized by the sleep state determination program 312 in FIG. 2 being read and executed by the control unit 100.
  • the respiration rate An is calculated by executing the respiration rate calculation process described above (step S202).
  • the calculated respiration rate is the respiration rate per unit time.
  • the respiratory rate variation coefficient Bn is calculated from the calculated respiratory rate (step S204).
  • the calculation method of the respiration rate variation coefficient Bn first calculates a respiration rate average value and a standard deviation for each interval of the respiration rate variation coefficient calculation interval. That is, based on a plurality of sections before and after a certain time n, the respiration rate average value and respiration rate standard deviation at time n are calculated, and the number obtained by dividing the standard deviation by the average value is calculated as the respiration rate variation coefficient Bn.
  • the respiration rate average value Xn in the respiration rate variation coefficient calculation interval is calculated from the respiration rate An in each interval.
  • the standard deviation Yn is calculated from the respiratory rate An.
  • the standard deviation is calculated using n ⁇ 1 as the denominator, but may be calculated using n.
  • the respiration rate variation coefficient Bn is calculated. Note that the time for calculating the coefficient of variation is usually 3 to 25 minutes.
  • Bn is calculated from the respiration rate at a little over 2 minutes before and after. In addition, if one section is 1 minute, Bn is calculated from the respiratory rate in 7 minutes before and after.
  • the number of sections for calculating Bn may be an arbitrary number of sections. That is, it is only necessary that the respiratory rate variation coefficient Bn can be calculated based on the respiratory rate before and after the time for determining the sleep state.
  • an average respiration rate variation coefficient C is calculated (step S206).
  • the average respiratory rate variation coefficient C an average value of the overnight respiratory rate variation coefficient Bn is calculated. That is, for the respiration rate variation coefficient Bn calculated in step S204, an average value for one night is calculated and updated.
  • step S208 the calculated respiration rate variation coefficient Bn and the average respiration rate variation coefficient C are compared.
  • the average respiratory rate variation coefficient C multiplied by the threshold value ⁇ is compared with the respiratory rate variation coefficient Bn.
  • the sleep state is determined as REM sleep (step S208; Yes ⁇ step S210), and otherwise, it is determined as non-REM sleep (step S212).
  • a value of “1” to “1.5” is normally used as the threshold value.
  • a large amount of REM sleep is detected, and in the case of “1.5”, a small amount of REM sleep is detected. It is preferable to set an appropriate threshold according to the condition of the person being measured.
  • the subject has a sleep disorder such as an apnea disorder
  • the disorder of breathing occurs when the apnea occurs (for example, an increase in the respiratory rate by resuming the breath).
  • the determination of REM sleep increases.
  • the determination of the sleep state may not be performed in the awake state. That is, when the measurement subject is determined to be awake, it may be determined that the sleep state is awake.
  • whether or not the measurement subject is in an awake state can be determined based on the respiration rate, or a separate awake state can be determined by a body motion detection sensor.
  • Example using the sleep determination system 1 in this embodiment is described.
  • a device using a sheet-type body vibrometer (SBV) that detects respiration is placed under the person to be measured and breathes from the body movement of the person to be measured. Detect and execute.
  • SBV sheet-type body vibrometer
  • FIG. 7 is a diagram for explaining a situation when an expert determines a sleep state using the sleep state determined using this embodiment (SBV) and a sleep polysomnograph (PSG). .
  • This data is obtained from two subjects of 6 subjects.
  • the basic characteristics of the test subjects are 2 males and 4 females, age is 30-40 years, height is 155-170 cm, and weight is 49-62 kg.
  • FIG. 7 shows how the awakening (Wake), REM sleep (REM), and non-REM sleep (NREM) are determined in the data of the above 12 nights (6 people ⁇ 2 nights).
  • FIG. 8 (a) is a graph plotting the respiration rate per unit time in a certain subject overnight, where the unit time is 1 minute.
  • FIG. 8B is a diagram showing the relationship between the respiratory rate variation coefficient per unit time and the average respiratory rate variation coefficient
  • FIG. 8C shows that the sleep state is determined from the respiratory rate variation coefficient.
  • the thin line indicates the determination of the sleep state by PSG
  • the circle mark ( ⁇ mark) indicates the three-stage determination of the sleep state according to the present embodiment “wake (Wake), REM sleep ( REM), non-REM sleep (NREM) ”.
  • the thin line indicates awakening (Wake), REM sleep (REM), and non-REM sleep (Stage 1 to Stage 4) when PSG is used.
  • FIG. 9 is a table showing the coincidence of the sleep states determined by PSG and SBV in the example shown in FIG.
  • the determination is made based on a comparison between the standard deviation Yn calculated in the first embodiment and an average standard deviation that is an overnight average. Specifically, the standard deviation Yn is calculated in step S204 of FIG. 6, and the overnight average standard deviation Cy is calculated in step S206.
  • step S208 it is determined whether the standard deviation Yn is equal to or greater than the average standard deviation Cy, and it is determined whether the sleep state is REM sleep or non-REM sleep.
  • the average standard deviation Cy may be multiplied by a predetermined threshold.
  • FIG. 10 is a diagram for explaining the situation when the expert determines the sleep state using the sleep state determined using the present embodiment (SBV) and the sleep polysomnograph (PSG). .
  • This data is obtained from two subjects of 6 subjects.
  • the basic characteristics of the test subjects are 2 males and 4 females, age is 30-40 years, height is 155-170 cm, and weight is 49-62 kg.
  • FIG. 10 shows how the awakening (Wake), REM sleep (REM), and non-REM sleep (NREM) are determined in the data of the above 12 nights (6 people ⁇ 2 nights).
  • the coincidence rate is as high as 75.3%.
  • FIG. 11 (a) is a graph plotting the respiration rate per unit time in a certain subject overnight, where the unit time is 1 minute.
  • FIG. 11B is a diagram showing the relationship between the standard deviation per unit time and the average standard deviation
  • FIG. 11C is a diagram showing that the sleep state is determined from the standard deviation.
  • the thin line indicates the determination of the sleep state by PSG
  • the circle mark ( ⁇ mark) indicates the three-stage determination of the sleep state according to the present embodiment “wake (Wake), REM sleep ( REM), non-REM sleep (NREM) ”.
  • the thin line indicates awakening (Wake), REM sleep (REM), and non-REM sleep (Stage 1 to Stage 4) when PSG is used.
  • FIG. 12 is a table showing the coincidence of the sleep states determined by the PSG and the SBV in the example shown in FIG.
  • the standard deviation it is possible to appropriately determine the sleep state such as the REM sleep and the non-REM sleep of the measurement subject even though the device is a simple device. .
  • the respiration rate is used as an example of the biometric information.
  • the heart rate may be used as the biometric information of the measurement subject in the same manner. That is, it is possible to make a similar sleep determination by using the detected respiration as a heart rate and the respiration rate as a heart rate.
  • heart rate number
  • respiration number

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Animal Behavior & Ethology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Physiology (AREA)
  • Educational Technology (AREA)
  • Developmental Disabilities (AREA)
  • Social Psychology (AREA)
  • Child & Adolescent Psychology (AREA)
  • Psychology (AREA)
  • Psychiatry (AREA)
  • Hospice & Palliative Care (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Pulmonology (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

Dans la présente invention, la respiration d'un sujet est détectée, les rythmes respiratoires à l'intérieur d'une période de calcul de taux de respiration sont délivrées en sortie sur la base de la respiration détectée, et un coefficient de variation de taux respiratoire est calculé en utilisant la moyenne et l'écart type de rythmes respiratoires à l'intérieur de périodes prédéterminées. En comparant le coefficient de variation du rythme respiratoire avec le coefficient de variation du rythme respiratoire moyen qui est la moyenne des coefficients de variation de rythme respiratoire du sommeil au réveil, il est possible de déterminer si l'état de sommeil du sujet est un sommeil à mouvements oculaires rapides ou un sommeil à mouvements oculaires non rapides. Ceci permet la mise à disposition d'un dispositif de détermination d'état du sommeil ou analogues qui sont aptes à évaluer facilement et avec précision le sommeil à l'aide, par exemple, du rythme respiratoire ou de la fréquence cardiaque en tant qu'informations biologiques du sujet au cours d'une période prédéterminée.
PCT/JP2015/081451 2014-11-11 2015-11-09 Dispositif de détermination d'état du sommeil, procédé de détermination d'état du sommeil, et programme WO2016076253A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2014-229118 2014-11-11
JP2014229118A JP6518056B2 (ja) 2014-11-11 2014-11-11 睡眠状態判定装置、睡眠状態判定方法及びプログラム

Publications (1)

Publication Number Publication Date
WO2016076253A1 true WO2016076253A1 (fr) 2016-05-19

Family

ID=55954338

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2015/081451 WO2016076253A1 (fr) 2014-11-11 2015-11-09 Dispositif de détermination d'état du sommeil, procédé de détermination d'état du sommeil, et programme

Country Status (2)

Country Link
JP (1) JP6518056B2 (fr)
WO (1) WO2016076253A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10376670B2 (en) 2013-07-08 2019-08-13 Resmed Sensor Technologies Limited Methods and systems for sleep management
US11648373B2 (en) 2013-07-08 2023-05-16 Resmed Sensor Technologies Limited Methods and systems for sleep management

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6925057B2 (ja) * 2016-03-18 2021-08-25 国立大学法人電気通信大学 睡眠段階判定方法、睡眠段階判定装置、及び睡眠段階判定プログラム
JP2020000371A (ja) * 2018-06-26 2020-01-09 凸版印刷株式会社 睡眠状態判定装置、睡眠状態判定方法、及び睡眠状態判定システム
JP7457625B2 (ja) 2020-10-07 2024-03-28 パラマウントベッド株式会社 ベッドシステム

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014023572A (ja) * 2012-07-24 2014-02-06 Daikin Ind Ltd 目覚まし装置
JP2014073237A (ja) * 2012-10-04 2014-04-24 Toyota Motor Corp 睡眠モニタリングシステム

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014023572A (ja) * 2012-07-24 2014-02-06 Daikin Ind Ltd 目覚まし装置
JP2014073237A (ja) * 2012-10-04 2014-04-24 Toyota Motor Corp 睡眠モニタリングシステム

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10376670B2 (en) 2013-07-08 2019-08-13 Resmed Sensor Technologies Limited Methods and systems for sleep management
US11364362B2 (en) 2013-07-08 2022-06-21 Resmed Sensor Technologies Limited Methods and systems for sleep management
US11648373B2 (en) 2013-07-08 2023-05-16 Resmed Sensor Technologies Limited Methods and systems for sleep management
US11986600B2 (en) 2013-07-08 2024-05-21 Resmed Sensor Technologies Limited Methods and systems for sleep management

Also Published As

Publication number Publication date
JP2016087355A (ja) 2016-05-23
JP6518056B2 (ja) 2019-05-22

Similar Documents

Publication Publication Date Title
JP6193649B2 (ja) 睡眠評価装置及び睡眠評価プログラム
JP3733133B2 (ja) 睡眠状態推定装置
JP3976752B2 (ja) 睡眠状態推定装置及びプログラム
WO2016076253A1 (fr) Dispositif de détermination d'état du sommeil, procédé de détermination d'état du sommeil, et programme
JP2020127757A (ja) 生体情報出力装置
JP6932630B2 (ja) 睡眠状態判定装置及びプログラム
JP4993980B2 (ja) 呼気時間を出力可能な装置および方法
JP5593480B2 (ja) 無呼吸・低呼吸判定装置
JP6122188B1 (ja) 身体状況検知装置、身体状況検知方法及びベッドシステム
JP5352814B2 (ja) 自律神経成分指標推定装置及び自律神経成分指標推定方法
JP6127739B2 (ja) 睡眠状態判定装置
JP6193650B2 (ja) 異常評価装置及び異常評価プログラム
JP2017047104A (ja) 異常通報システム、異常通報方法及びプログラム
JP6738458B2 (ja) 睡眠状態判定装置及び睡眠状態判定方法
JP6589108B2 (ja) 無呼吸及び／又は低呼吸診断装置
JP2008080071A (ja) 睡眠の質評価装置
JP6518294B2 (ja) 睡眠評価装置及びプログラム
JP2013198666A (ja) 体動検出装置、睡眠判定装置、及び寝返り検出装置
CN111867470B (zh) 睡眠/觉醒判定系统
JP5652764B2 (ja) 睡眠状態判定装置及び睡眠状態判定プログラム
JP6389391B2 (ja) 呼吸障害判定装置、呼吸障害判定方法及びプログラム
JP6745379B2 (ja) 評価装置及びプログラム
JP7084526B2 (ja) 端末装置、出力方法及びコンピュータプログラム
JP6976387B2 (ja) 評価装置及びプログラム
JP6423055B2 (ja) 異常評価装置及びプログラム

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15858710

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 15858710

Country of ref document: EP

Kind code of ref document: A1