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WO2004043249A1 - Dispositif de detection de donnees d'organisme - Google Patents

Dispositif de detection de donnees d'organisme Download PDF

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Publication number
WO2004043249A1
WO2004043249A1 PCT/JP2003/014341 JP0314341W WO2004043249A1 WO 2004043249 A1 WO2004043249 A1 WO 2004043249A1 JP 0314341 W JP0314341 W JP 0314341W WO 2004043249 A1 WO2004043249 A1 WO 2004043249A1
Authority
WO
WIPO (PCT)
Prior art keywords
biometric data
subject
strain
component
detected
Prior art date
Legal status (The legal status 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 status listed.)
Ceased
Application number
PCT/JP2003/014341
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English (en)
Japanese (ja)
Inventor
Akihiko Yanaga
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Advanced Medical Inc
Original Assignee
Advanced Medical Inc
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 Advanced Medical Inc filed Critical Advanced Medical Inc
Priority to JP2004551218A priority Critical patent/JP4423603B2/ja
Publication of WO2004043249A1 publication Critical patent/WO2004043249A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6891—Furniture

Definitions

  • the present invention relates to a biological data detecting device that detects a physiological state of a subject staying on a staying device such as a bed or a chair, for example, a respiratory rate, a pulse rate, snoring, coughing, turning over, and the like.
  • the weight of a subject who is bedridden is measured by placing the subject on a weighing dish or the like with the help of a caregiver or the like, and the weight change during dialysis is measured by circulating the amount of circulation using a dialyzer.
  • a dialyzer was calculated.
  • a living body monitoring device of this type discloses a card-type main body, a light emitting unit and a light receiving unit for detecting a pulse wave, An electrode for detecting at least one of body fat percentage and skin resistance, a temperature detecting section for detecting body temperature and skin temperature, and at least one of body surface vibration due to heartbeat or respiration and body movement due to body movement. It is equipped with a vibration detection unit for detecting.
  • the conventional weight measurement has a problem that the burden on the caregiver is large and a man is inevitably needed.
  • the measurement is performed by attaching the living body monitoring device to the body, it is troublesome for the subject. There was a problem that it promoted.
  • Another problem is that an expensive sensor must be used as a sensor for detection.
  • the present invention provides a biological data detecting device capable of detecting a living body data such as a subject's taking off and landing, a respiratory rate, a pulse rate, a cough, a snoring, a body movement, a turning over, and the like with a low-cost sensor.
  • the living body night detection device includes a strain measurement unit 100 that measures the strain of components constituting the staying device 1 such as a bed and a chair where the subject stays.
  • a distortion fluctuation detecting means 110 for detecting a fluctuation amount of the distortion measured by the distortion measuring means 100; and a fluctuation amount detecting means for detecting a fluctuation amount of the distortion detected by the distortion fluctuation detecting means 110.
  • a biological data detecting means for detecting a biological data of the subject from the amount of change in the distortion detected by the fluctuation detecting means.
  • the apparatus further includes a biological data determination unit 140 that determines biological data detected by the biological data overnight detection unit 130 and, when an abnormality is determined, drives an alarm unit 150.
  • the communication device includes communication means 160 for transmitting the biological data determined by the biological data determination means 140 to a medical center, a care center 170, or the like. Incidentally, it is desirable to use a strain gauge as the strain measuring means 100.
  • the distortion fluctuation detecting unit extracts a DC component and an AC component of the distortion measured by the distortion measuring unit.
  • the biometric data is a detached floor of a subject
  • the biometric data detecting means increases a DC component of the strain detected by the strain variation detecting means by a predetermined value or more with absent as a reference value. In this case, it is desirable to detect the implantation of the subject.
  • the biological data is a respiratory rate of the subject
  • the biological data detecting means includes an AC component of the strain detected by the strain variation detecting means. It is desirable to extract the waveform in the first frequency range from the above, and to detect the respiratory rate from this waveform.
  • the first frequency range is 0.05 Hz to 1.25 Hz, and it is desirable to extract the waveform in this range by filtering.
  • the biological data is the pulse rate of the subject, and the biological data detecting means extracts a waveform in a second frequency range from an AC component of the strain detected by the strain variation detecting means. It is desirable to detect the pulse rate from the waveform.
  • the second frequency range is 0.5 to 4.5 Hz, and it is desirable to extract waveforms within this range by filtering.
  • the biometric data is snoring of a subject, and the biometric data detection means extracts a waveform in a third frequency range from an AC component of the strain detected by the strain variation detecting means, and It is desirable to detect snoring.
  • the biometric data is a subject's cough, and the biometric data determination means extracts a waveform in a third frequency range from an AC component of the strain detected by the strain variation detecting means, and It is desirable to determine a cough.
  • the third frequency range is 20 to 500 Hz, and it is desirable to extract the waveform within this range by filtering.
  • the biometric data is a body motion of the subject, and the biometric data detecting means detects the body motion of the subject from the DC component of the strain and the AC component of the strain detected by the strain variation detecting means. It is desirable to do. Further, it is preferable that the biometric data is a subject's turnover, and the biometric data detecting means detects the subject's turnover from the DC component of the strain and the AC component of the strain detected by the strain variation detecting means. In the case of body motion, the change in the DC component is smaller than that of turning over, which is the detection criterion for both.However, when the center of gravity is detected as described below, the movement of the center of gravity is smaller than that of body turning. Remarkably expressed.
  • the distortion is detected in at least two places of the staying device, and that the biometric data determination unit detects a change in the center of gravity of the subject from a difference between the respective distortions. Since the measured value of the strain gauge on the side closer to the center of gravity is larger than the measured value of the strain gauge on the side closer to the center of gravity, the movement of the center of gravity can be detected.
  • the biometric data is the apnea of the subject, and the biometric data detection means detects the apnea of the subject from at least two phase shifts of the distortion.
  • the staying device is a bed, and the constituent parts are frames.
  • the staying device is a bed, and that a constituent component is a floor plate having a predetermined rigidity.
  • FIG. 1 is a schematic block diagram of a living body data detecting device of the present invention
  • FIG. 2 is an explanatory diagram showing a case where the living body data detecting device of the present invention is mounted on a bed
  • ) Is a side view
  • (b) is a front view
  • FIG. 3 is a schematic configuration diagram of the biometric data detection device
  • FIG. 4 is a schematic configuration diagram of a CPU of the biometric data detection device.
  • FIG. 5 is a diagram showing a waveform extracted to detect a detached bed
  • FIG. 6 is a diagram showing a waveform extracted to detect a respiration rate.
  • FIG. 7 is a diagram showing a waveform extracted to detect a pulse rate;
  • FIG. 1 is a schematic block diagram of a living body data detecting device of the present invention
  • FIG. 2 is an explanatory diagram showing a case where the living body data detecting device of the present invention is mounted on a bed
  • ) Is a side view
  • (b)
  • FIG. 8 is a diagram showing a waveform extracted to detect snoring; The figure shows the waveforms extracted to detect cough; FIG. 10 shows the waveforms extracted to detect body movement It is;
  • first 1 Figure is a diagram showing an extracted waveform in order to detect the turn;
  • first 2 diagram (a) (b) is a mounted state of the strain sensor to the floor plate portion 200
  • FIG. 13 shows the frequency characteristics with respect to the stiffness of the bed
  • Fig. 14 shows the detection state of respiration and pulsation when the stiffness of the pad is increased.
  • Fig. 15 is a diagram showing the state of detection of respiration and pulsation when the stiffness of the bed is reduced;
  • FIG. 17 is a circuit diagram showing an instrumentation circuit;
  • FIG. 17 is a diagram showing an operation state by an instrumentation circuit; Yes;
  • Figure 19 is a diagram showing waveforms for detecting apnea.
  • a predetermined position of a staying device for the subject such as a bed and a chair (in this embodiment, a bed, hereinafter, a bed) 1
  • the strain gauge 3 is arranged in the position.
  • the distortion gauges 3 are arranged on each of the left and right sides of the frame 2 of the bed 1.
  • one may be provided on the head side frame 2 of the blade 1.
  • Each strain gauge 3 is wired to an electric control device housed in a control box 4 provided at a predetermined position of the bed 1.
  • 5 is a temperature detector for temperature compensation of the strain gauge 3.
  • FIG. 3 is a block diagram of the electric control device arranged in the control box 4.
  • the components of the signal output from the strain gauge 3 are emphasized by the DC amplifier 10 and the AC amplifier 12, and are converted into digital signals by the AD converter 14.
  • the digital signal is sent to the CPU 20 and subjected to various processes to calculate a predetermined output signal.
  • the signal is displayed on the display / print unit 30 by the command of the switch unit 40, and is displayed on the communication unit.
  • the information is sent to the medical center and the care center 170 via the port 160.
  • the alarm unit 150 issues an alarm and simultaneously sends a notification to the center 170 via the communication unit 160.
  • the processing performed by the CPU 20 will be described in detail. As shown in FIG.
  • the digital signal changed by the AD converter 14 is a digital signal for departure and landing (D / F)
  • D / F digital signal for departure and landing
  • a predetermined signal, a DC component, and an AC component are extracted by 50, and in particular, the DC component is extracted in a level extraction block 60, and a detached floor of the subject is determined in a detached floor detection block 70.
  • the implantation is detected when the DC component of the distortion variation becomes a predetermined value or more and the AC component of the distortion variation expresses a positive component, and conversely, the DC component returns to the normal value.
  • leaving the bed is detected when a negative component appears in the AC component of the distortion variation.
  • the respiratory D / F 51 and the waveform extraction block 61 extract frequencies in the range of 0.05 to 1.25 Hz, and the waveform as shown in Fig. 6 is extracted. . Then, the respiratory rate detection block 71 detects the time between the peaks (bottoms) of the extracted waveform, and calculates the respiratory rate per minute based on the detected time. Also, the number of peaks (bottoms) per minute may be counted. Thus, the determined respiration rate and waveform can be stored in the storage circuit of the CPU 20.
  • the biological data is a pulse rate
  • a frequency in the range of 0.5 to 4.5 Hz is extracted by the pulse D / F 52 and the waveform extraction block 62, and a waveform as shown in FIG. 7 is extracted.
  • the pulse rate detection block 72 detects the time between the peaks (bottoms) of the extracted waveform, and calculates the pulse rate per minute based on this. Also, the number of peaks (bottoms) per minute may be counted.
  • the obtained pulse rate and waveform are It can also be stored in the storage circuit of the CPU 20.
  • the frequency in the range of 20 to 500 Hz is extracted by the snoring D / F 53 and the waveform extraction block 63, and the waveform as shown in FIG. 8 is obtained. Is extracted.
  • the snoring detection program 73 snoring is detected based on the sustainability of a certain period, the cycle (repetition period), the manner of the envelope (envelope), etc., and the number of times per minute, one hour, and one sleep is counted. If necessary, this waveform is stored together with the above detection result.
  • the cough D / F 54 and the waveform extraction block 64 extract frequencies in the range of 20 to 500 Hz, as shown in Fig. 9. Waveform is extracted. Then, in the cough detection block 74, cough is detected based on the duration of a certain period, the period (repetition period), the manner of the envelope (envelope), etc., and the number of times per minute, hour, and sleep is counted. If necessary, this waveform is stored together with the above detection result.
  • the body motion detection block 75 detects the subject's body motion because the DC component has a small variation and the AC component has a large variation.
  • the turnover detection block 76 detects the subject's turnover because the DC component fluctuates greatly and the AC component fluctuates greatly.
  • the biometric data detected as described above is sent to the abnormality determination block 80, and is compared with, for example, a predetermined threshold value.
  • a predetermined threshold value When the threshold value is the upper limit, when the threshold value is exceeded, or when the threshold value is exceeded. If the value is lower than the threshold value, the alarm unit 150 is activated, and the communication unit is provided with communication means such as a mobile phone, a PHS, a telephone line, and a wireless communication.
  • the detected biological data is transmitted to the sensor 170 together with the abnormal signal.
  • the present biometric data or the past biometric data can be displayed on the display or printed via the display / print unit 30.
  • strain gauges 3 (3a, 3b) are arranged on both sides of the bed 1, the strain gauge of the strain gauge 3a arranged on one side and the strain gauge 3b arranged on the other side. It can also compare with the degree of distortion and detect rollover based on the relative fluctuation.
  • a bed 1 shown in FIGS. 12 (a) and 12 (b) is an embodiment in which a strain gauge 3 is arranged on the bottom surface of a plate 6 having a predetermined rigidity.
  • FIG. 13 shows the rigidity and frequency characteristics of the floor plate 6 of the bed 1.
  • the breathing 0.05 to: L. 25 Hz
  • Pulsation 1.5 to 12.5 Hz
  • snoring 40 to 80 Hz
  • coughing l to 80 Hz :
  • body motion 0.05 to 80 Hz
  • the instrument circuit shown in Fig. 17 is used to amplify a weak signal from the strain gauge 3 using an AC circuit.
  • an instant circuit for shortening the time constant under a predetermined condition is provided.
  • the amplifier gain (A) is obtained by 1 + R4 / R3.
  • the switch U2 is turned on at the stage of (0) when an excessive input is input, and the switch U2 is turned off when the AD conversion input becomes Vref / 2.
  • the solid line indicates the case without an instrument circuit, and indicates that the AD conversion input is saturated until a predetermined time t 2 set by the time constant (320 seconds in this embodiment).
  • the time constant 2 becomes 0.001 seconds.
  • the time until the detectable time t1 shown in FIG. 17 is 0.63 seconds.
  • the undetectable time can be shortened, so that appropriate detection of the biological data can be performed.
  • FIG. 19 shows a method of determining sleep apnea.
  • S1 indicates a signal from the strain sensor 3 arranged near the foot
  • S2 indicates a signal from the strain sensor 3 arranged near the head.
  • Bwl and Bw2 the phases of the two are almost the same, as indicated by Bwl and Bw2.
  • a strain gauge is attached to a staying device such as a bed or a chair in which a subject stays, and the strain gauge detects a variation in strain of the staying device, thereby detecting a living body. Since the data can be detected overnight, it is possible to easily detect biometric data and to achieve a significant cost reduction.

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

Abstract

La présente invention concerne un dispositif de détection de données d'organisme comprenant au moins un système de mesure de déformation (100) conçu pour mesurer la déformation d'une ossature faisant partie d'un équipement de repos (1) tel qu'un lit ou un fauteuil dans lequel se trouve une personne, un système de détection de variation de déformation (110) conçu pour détecter la variation de la déformation mesurée, un système de détermination de variation (120) conçu pour déterminer la variation de la déformation détectée, ainsi qu'un système d'extraction de données d'organisme (130) conçu pour extraire des données d'organisme concernant la personne à partir de la variation de déformation déterminée. La présente invention concerne également un dispositif de détection de signal d'organisme conçu pour détecter un signal d'organisme qui représente une mise au lit, un départ du lit, une fréquence respiratoire, une fréquence du pouls, une toux, un ronflement, un mouvement du corps ou un retournement au moyen d'un capteur bon marché.
PCT/JP2003/014341 2002-11-14 2003-11-12 Dispositif de detection de donnees d'organisme Ceased WO2004043249A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2004551218A JP4423603B2 (ja) 2002-11-14 2003-11-12 生体データ検出装置

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2002-330407 2002-11-14
JP2002330407 2002-11-14

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WO2004043249A1 true WO2004043249A1 (fr) 2004-05-27

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7716988B2 (en) 2006-05-30 2010-05-18 Nexense Ltd. Apparatus for use in controlling snoring and sensor unit particularly useful therein
JP2011120874A (ja) * 2009-09-18 2011-06-23 Hill-Rom Services Inc 使用者を支持し、使用者の状態を監視する装置
JP2014504536A (ja) * 2011-02-03 2014-02-24 パルティ、ヨーラム 経胸腔的な心肺モニター
JP2016529966A (ja) * 2013-07-22 2016-09-29 クヴィアム ユーケー リミテッドＱｕｖｉｕｍ Ｕｋ Ｌｔｄ 咳の検知用、分析用および通信用のプラットフォーム
WO2016186067A1 (fr) * 2015-05-19 2016-11-24 パラマウントベッド株式会社 Dispositif et procédé de détection de position d'utilisateur
JP2016214839A (ja) * 2015-05-19 2016-12-22 パラマウントベッド株式会社 使用者位置検出装置及び方法
JP2020114292A (ja) * 2019-01-17 2020-07-30 株式会社Ｔａｏｓ研究所 行動状態判定システムおよび行動状態判定方法

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5330873Y2 (fr) * 1973-12-19 1978-08-01
JPH0415038A (ja) * 1990-05-10 1992-01-20 Matsushita Electric Ind Co Ltd 生体モニタ装置
JPH0880285A (ja) * 1994-09-14 1996-03-26 Matsushita Electric Ind Co Ltd 監視装置
JPH08131421A (ja) * 1994-11-11 1996-05-28 Matsushita Electric Ind Co Ltd 睡眠時呼吸情報測定装置
JPH11151209A (ja) * 1997-09-17 1999-06-08 Matsushita Electric Ind Co Ltd 在床状態検知システム
JP2000271103A (ja) * 1999-03-24 2000-10-03 Arata Nemoto 無呼吸検出装置
JP2000316915A (ja) * 1999-05-06 2000-11-21 Kawasaki Heavy Ind Ltd 介護支援装置
JP2002065639A (ja) * 2000-08-24 2002-03-05 Keiso Kenkyusho:Kk 測定方法、管理方法、測定装置、管理装置および管理システム
WO2003000126A1 (fr) * 2001-06-25 2003-01-03 Advanced Medical Inc. Detecteur biophysiologique
JP2003210434A (ja) * 2002-01-23 2003-07-29 M I Labs:Kk 密閉空気式音センサーを使用した生体情報収集装置

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5330873Y2 (fr) * 1973-12-19 1978-08-01
JPH0415038A (ja) * 1990-05-10 1992-01-20 Matsushita Electric Ind Co Ltd 生体モニタ装置
JPH0880285A (ja) * 1994-09-14 1996-03-26 Matsushita Electric Ind Co Ltd 監視装置
JPH08131421A (ja) * 1994-11-11 1996-05-28 Matsushita Electric Ind Co Ltd 睡眠時呼吸情報測定装置
JPH11151209A (ja) * 1997-09-17 1999-06-08 Matsushita Electric Ind Co Ltd 在床状態検知システム
JP2000271103A (ja) * 1999-03-24 2000-10-03 Arata Nemoto 無呼吸検出装置
JP2000316915A (ja) * 1999-05-06 2000-11-21 Kawasaki Heavy Ind Ltd 介護支援装置
JP2002065639A (ja) * 2000-08-24 2002-03-05 Keiso Kenkyusho:Kk 測定方法、管理方法、測定装置、管理装置および管理システム
WO2003000126A1 (fr) * 2001-06-25 2003-01-03 Advanced Medical Inc. Detecteur biophysiologique
JP2003210434A (ja) * 2002-01-23 2003-07-29 M I Labs:Kk 密閉空気式音センサーを使用した生体情報収集装置

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7716988B2 (en) 2006-05-30 2010-05-18 Nexense Ltd. Apparatus for use in controlling snoring and sensor unit particularly useful therein
JP2011120874A (ja) * 2009-09-18 2011-06-23 Hill-Rom Services Inc 使用者を支持し、使用者の状態を監視する装置
JP2014504536A (ja) * 2011-02-03 2014-02-24 パルティ、ヨーラム 経胸腔的な心肺モニター
JP2016529966A (ja) * 2013-07-22 2016-09-29 クヴィアム ユーケー リミテッドＱｕｖｉｕｍ Ｕｋ Ｌｔｄ 咳の検知用、分析用および通信用のプラットフォーム
WO2016186067A1 (fr) * 2015-05-19 2016-11-24 パラマウントベッド株式会社 Dispositif et procédé de détection de position d'utilisateur
JP2016214839A (ja) * 2015-05-19 2016-12-22 パラマウントベッド株式会社 使用者位置検出装置及び方法
JP2020114292A (ja) * 2019-01-17 2020-07-30 株式会社Ｔａｏｓ研究所 行動状態判定システムおよび行動状態判定方法

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JP4423603B2 (ja) 2010-03-03

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