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WO2016129087A1 - Système et procédé de gestion d'un être vivant - Google Patents

Système et procédé de gestion d'un être vivant Download PDF

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Publication number
WO2016129087A1
WO2016129087A1 PCT/JP2015/053860 JP2015053860W WO2016129087A1 WO 2016129087 A1 WO2016129087 A1 WO 2016129087A1 JP 2015053860 W JP2015053860 W JP 2015053860W WO 2016129087 A1 WO2016129087 A1 WO 2016129087A1
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WIPO (PCT)
Prior art keywords
unit
user
biological
magnetic field
management system
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Ceased
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PCT/JP2015/053860
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English (en)
Japanese (ja)
Inventor
秀文 伊達
信 薮上
木村　光照
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TOHOKU Gakuin
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TOHOKU Gakuin
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Priority to PCT/JP2015/053860 priority Critical patent/WO2016129087A1/fr
Priority to JP2016574584A priority patent/JP6516229B2/ja
Publication of WO2016129087A1 publication Critical patent/WO2016129087A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/543—Immunoassay; Biospecific binding assay; Materials therefor with an insoluble carrier for immobilising immunochemicals
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Definitions

  • Embodiments described herein relate generally to a biological management system and a biological management method.
  • preemptive medicine is to prevent or delay the onset by predicting onset or making a diagnosis before onset with high accuracy before the onset of the disease, and implementing therapeutic intervention at an appropriate time before onset.
  • individualization prevention means prevention of the disease suitable for each individual.
  • the present invention has been made in view of the above, and an object of the present invention is to provide a biological management system and a biological management method that can detect biological substances with high accuracy.
  • the biological management system includes a reception unit, a measurement unit, a prediction unit, a determination unit, and a display unit.
  • the said reception part is the fixture installed in a toilet or a washroom, Comprising: The said user's body substance taken out from the fixture used by a user is received.
  • the measurement unit measures information indicating characteristics of the biological material from the body material received by the reception unit by a sensor provided in the fixture.
  • the prediction unit predicts a biological material contained in the user's body based on information measured by the measurement unit.
  • the determination unit determines the health state of the user from the biological material predicted by the prediction unit.
  • the display unit displays advice to the user based on the health state determined by the determination unit.
  • the biological management system includes a reception unit, a measurement unit, and a prediction unit.
  • the said reception part receives the waste_water
  • the measurement unit measures a magnetic field generated from a mixture of a waste material received by the reception unit and a reactive substance, which is an antibody or an antigen, and magnetic beads, using a magnetic field sensor.
  • the prediction unit predicts a biological material contained in the user's body based on the magnetic field measured by the measurement unit.
  • the biological management system includes a reception unit, a temperature measurement unit, and a prediction unit.
  • the said reception part receives the said internal body material of the said user taken out from the fixture which a user uses.
  • the temperature measuring unit measures a temperature change based on a thermal reaction between the in-vivo substance received by the receiving unit and a predetermined reactant.
  • the prediction unit predicts a biological material contained in the user's body based on the temperature change measured by the temperature measurement unit.
  • FIG. 1 is a diagram for explaining an example of an embodiment.
  • FIG. 2 is a diagram illustrating an example of a biological management system according to the embodiment.
  • FIG. 3 is a diagram illustrating an example of a smart brush system according to the first embodiment.
  • FIG. 4 is a top view showing the magnetic field sensor according to the first embodiment.
  • FIG. 5 is a schematic cross-sectional view taken along the line AA in FIG.
  • FIG. 6 is a top view showing another magnetic field sensor according to the first embodiment.
  • FIG. 7 is a diagram illustrating another example of the magnetic field sensor according to the first embodiment.
  • FIG. 8 is a diagram illustrating an example of a processing circuit according to the first embodiment.
  • FIG. 9 is a diagram illustrating an example of a home server according to the first embodiment.
  • FIG. 9 is a diagram illustrating an example of a home server according to the first embodiment.
  • FIG. 10 is a diagram illustrating an example of a user information storage unit according to the first embodiment.
  • FIG. 11 is a diagram illustrating a display example in the first embodiment.
  • FIG. 12 is a diagram showing a display example in the first embodiment.
  • FIG. 13 is a sequence diagram illustrating a processing procedure performed by the smart brush system according to the first embodiment.
  • FIG. 14 is a diagram for explaining a cleaning process according to the first embodiment.
  • FIG. 15 is a diagram showing a display example in the first embodiment.
  • FIG. 16 is a diagram illustrating an example of a smart sync system according to the first embodiment.
  • FIG. 17 is a diagram illustrating an example of a smart toilet system according to the first embodiment.
  • FIG. 18 is a diagram illustrating an example of a smart toilet system according to the second embodiment.
  • FIG. 19 is a diagram illustrating an example of a measuring apparatus according to the second embodiment.
  • FIG. 20 is a diagram illustrating an example of a sensor chip according to the second embodiment.
  • FIG. 21 is a diagram illustrating an example of an enzyme and a coenzyme according to the second embodiment.
  • FIG. 22 is a diagram for explaining an example of processing by the measurement control unit in the second embodiment.
  • FIG. 23 is a diagram showing a display example in the second embodiment.
  • FIG. 24 is a diagram illustrating an example of a sensor chip according to a modification of the second embodiment. 25 is a schematic cross-sectional view taken along the line BB in FIG. 24.
  • FIG. 26 is a diagram illustrating an example of a relationship between environmental temperature and output voltage.
  • FIG. 20 is a diagram illustrating an example of a sensor chip according to the second embodiment.
  • FIG. 21 is a diagram illustrating an example of an enzyme and a coenzyme according to the second embodiment.
  • FIG. 22 is a diagram
  • FIG. 27 is a view for explaining a handy type sensor according to the second embodiment.
  • FIG. 28 is a diagram illustrating an example of a urine sugar test using an oxidation-reduction current.
  • FIG. 29 is a diagram illustrating a hardware configuration of the home server according to the embodiment.
  • FIG. 30 is a diagram for explaining the society realized by the embodiment.
  • the biological management system detects a biological substance by a plurality of methods (for example, a magnetic method, a thermal method, etc.), but the plurality of methods are not necessarily realized. Is not a required configuration.
  • the living body management system and the measurement device may be configured to realize a part of the plurality of methods.
  • the biological material that is sensing data includes biological information such as a material contained in the living body, a biological material, a part of the living body, and a substance that is a constituent element of the living body.
  • biological substances include bacteria, fungi, viruses, proteins, amino acids, vitamins, enzymes, DNA (deoxyribonucleic acid), RNA (ribonucleic acid), organic substances, sugars, salts, stomach acids, pesticides, microorganisms, and environmental substances.
  • a toilet here is a toilet bowl installed in a washroom (sink), a toilet installed in a toilet, etc., for example.
  • a toothbrush washing machine etc. which are installed in a washroom correspond, for example.
  • FIG. 1 is a diagram for explaining an example of an embodiment.
  • FIG. 1 shows a state of the future home where the daily human dock is utilized.
  • users such as a grandfather, father, mother, eldest daughter, and eldest son live in the house and a grandmother lives in another house.
  • biological substances such as bacteria and biological substances contained in the user's body are predicted from the user's internal substances.
  • the substance in the user here refers to a substance obtained from the user, and includes, for example, “saliva”, “sweat”, “exhaust such as urine and stool”, “saliva, sweat, urine, stool, etc.” "Washed water”, "blood obtained from the body”, and the like.
  • the toothbrush or the interdental brush for cleaning the teeth or the tongue brush for cleaning the tongue
  • the biological material contained in the body is predicted from the washing water in which the anus or the like is washed.
  • health information based on the collected biological material is fed back to the user.
  • health information information such as “there is a possibility of tooth decay”
  • health information information such as “health”
  • health information is displayed on the mobile terminal device for the father who owns the mobile terminal device.
  • health information information such as “there is a risk of influenza”
  • the wearable information terminal when the daily human dock according to the embodiment is applied to a separate house where the grandmother lives, the health information of the grandmother transmitted from the separate house is also displayed on a predetermined display device. In the case of the example in FIG.
  • the health information of the entire family including the grandmother and advice to the user predicted from the health information are displayed on the monitor (display) placed in the living room 40.
  • Such biological substance prediction processing and health information display processing are realized by a biological management system built in the house.
  • the biological material prediction process is performed based on information detected by a sensor incorporated in a toothbrush washing machine installed in a washroom, or information detected by a sensor incorporated in a toilet installed in a toilet. Based on information detected by a sensor incorporated in a measurement measurement of a handy type (small portable type).
  • the living body management system displays advice such as “consult with a doctor” on the monitor based on the urine sugar value which is health information.
  • the living body management system can also display an advance when the urine sugar value becomes a predetermined value (for example, 80 [mg / dl]) or more.
  • the biological management system displays an advice “Go to the hospital”.
  • the biological management system may display strong instructional advice such as “Please go to the hospital immediately!”.
  • the mother brushes his teeth brush and a specific fungus for example, a caries fungus such as mutans or Lactobacillus
  • a specific fungus for example, a caries fungus such as mutans or Lactobacillus
  • the biological management system displays advice such as “Please go to the hospital!” on the monitor.
  • the eldest son has been prescribed a medicine from the hospital with symptoms of a cold, and has continued to take medicine and is absent from school.
  • the detection amount of pathogenic bacteria in the toilet 33 at home is a threshold value.
  • the living body management system displays an advice such as “Good school from tomorrow!” On the monitor.
  • the biological management system can display not only the current state of health of the user but also advice for the next action based on the current state of health.
  • enterohemorrhagic Escherichia coli infectious disease O-157 is known as a representative disease that is suspended from school (so-called infectious disease).
  • infectious disease enterohemorrhagic Escherichia coli infectious disease
  • the biological management system is based on the bacteria detected by the user. By displaying advice such as “Good school from tomorrow!”, It can also serve as a tool to prevent the spread of infection.
  • the biological management system may realize a display that can reflect the intention of each user as well as allowing the user to see the detection result and advice in each home.
  • the message sent to each individual can be determined based on the results of tests on biological substances such as pathogens and biological substances, the presence or absence of detection of specific bacteria and viruses, the amount of biological substances and the tendency to increase daily quantities, etc.
  • advice is displayed on the monitor so that appropriate judgment based on the test result can be made instead of individual judgment. By doing in this way, it becomes a message display of a user-friendly expression, and it is possible to prevent fear of the test result.
  • the requested information may be displayed. For example, necessary information may be displayed on a monitor in an interactive manner with a computer by voice recognition.
  • the biological material contained in each user's body is predicted, and health information based on the prediction result is fed back to the daily life. Realize daily human docks as if they were carried out every day in life.
  • FIG. 2 is a diagram illustrating an example of a biological management system according to the embodiment.
  • a smart brush system 1 including a washing machine 101 for washing a toothbrush and the like, a home server 50 installed in a home, and a display device 60, a sink 201 of a wash basin, and a home server Smart sink system 2 including 50 and display device 60, and smart toilet system 3 including toilet bowl 301, home server 50, and display device 60.
  • the smart brush system 1, the smart sink system 2, and the smart toilet system 3 can predict a biological material contained in the user's body by a magnetic technique or a thermal technique.
  • the smart brush system 1 measures the magnetic field caused by the magnetic beads or the like bound to the antibody of the biological substance in the body substance contained in the washing water in which the toothbrush is washed.
  • Antigens for example, bacteria
  • the smart sink system 2 predicts an antigen contained in the user's body by measuring a magnetic field caused by a substance in the body contained in water or the like exhaled by the user after gargle.
  • the smart toilet system 3 predicts an antigen contained in the user's body by measuring a magnetic field caused by a substance in the body contained in washing water that has washed the anus after defecation.
  • the in-home server 50 transmits information related to the predicted biological material of each user to various display devices 60.
  • the display device 60 can notify the health information to the user in the home by displaying the information regarding the biological material received from the home server 50.
  • Examples of the display device 60 include a home monitor, a bathroom mirror, a portable terminal device, a wearable information terminal, and a wearable terminal.
  • the smart brush system 1 measures the calorific value at the time of a catalytic reaction between a substance in the toothbrush washing water and a predetermined enzyme, thereby providing a living body contained in the user's body. Predict substances.
  • the smart sink system 2 measures the amount of heat generated during the catalytic reaction between water and the enzyme after gargle.
  • the smart toilet system 3 measures the amount of heat generated during the catalytic reaction between the washing water such as the anus and the enzyme.
  • the subsequent processing by the home server 50 is the same as the processing described in the magnetic method described above.
  • a PHR processing device 20 that is a server device may be constructed in a cloud formed on a network outside the user's home (hereinafter sometimes referred to as “healthcare cloud”).
  • the PHR processing device 20 collects and stores biometric information of each individual from the home server 50. At this time, the PHR processing device 20 may collect and accumulate life log information in association with each individual's biological information and behavior information. Then, the PHR processing device 20 centrally manages PHR big data obtained by integrating a large amount of biological information and life log information collected in time series for a plurality of users on the healthcare cloud.
  • the PHR processing device 20 may analyze the PHR big data to analyze the risk of developing the disease in the future, the amount of meal, the amount of exercise, or the response response of the body to the exercise load in an advanced and detailed manner. Eventually, it will be possible to design daily life aiming at an ideal image, such as the risk of disease onset, signs of seizures, personal constitution, diet content optimal for lifestyle, exercise, lifestyle, selection of medicines and supplements, etc.
  • the PHR processing device 20 can feed back such information to a medical institution as well as to the user. Based on the analysis results fed back from the PHR processing device 20, the doctor recognizes, for example, a high-risk disease onset army and actively accesses these persons as necessary.
  • the sensing data transmitted from the user is also useful for detecting abnormalities in the user's body.
  • the PHR processing device 20 constantly monitors sensing data transmitted every day for users of high-risk disease-causing reserves, and when an abnormality is detected therein, immediately feeds back to a medical institution or the like.
  • the PHR processing apparatus 20 can contribute to the use of various services and the creation of new industries by providing the results of PHR big data analysis to medical institutions and various companies.
  • the in-home server 50 transmits information related to the biological material to the display device 60, but the PHR processing device 20 may transmit information related to the biological material to the display device 60.
  • the in-home server 50 plays a role as a relay device that relays information on the biological substance to the PHR processing device 20.
  • FIG. 3 is a diagram illustrating an example of the smart brush system 1 according to the first embodiment.
  • the smart brush system 1 includes a washing machine 101, a concentrating device 102, and a measuring device 103.
  • the concentration device 102 and the measurement device 103 are externally attached to the washing machine 101 is shown, but the concentration device 102 and the measurement device 103 may be incorporated in the washing machine 101.
  • the washing machine 101 is a washing device for washing a toothbrush (or an interdental brush, a tongue brush, or the like) that is a washing tool for washing a user.
  • the cleaning machine 101 has a container for containing cleaning water and a drain outlet for draining the cleaning water in the container to the concentrating device 102.
  • the cleaning machine 101 has a function of ultrasonic cleaning.
  • the cleaning machine 101 cleans the toothbrush by generating an ultrasonic wave when a predetermined cleaning start button is pressed in a state where the toothbrush is immersed in the cleaning water contained in the container.
  • the washing machine 101 drains the washing water that may contain the in-vivo substance to the concentration device 102.
  • the cleaning machine 101 is provided with an authentication unit 101a.
  • the authentication unit 101a is, for example, a sensor that reads a user's fingerprint and the like. The authentication process using the authentication unit 101a will be described later.
  • the concentrating device 102 performs a concentration process for removing moisture from the cleaning water, which is a drainage material drained from the cleaning machine 101. Then, the concentrating device 102 discharges the concentrated cleaning water to the measuring device 103. In FIG. 3, the concentrating device 102 is shown, but the smart brush system 1 may not include the concentrating device 102. In this case, the washing water drained from the washing machine 101 flows into the measuring device 103 without being concentrated.
  • the measuring apparatus 103 includes a communication unit 103a (an example of a transmission unit) that performs wireless communication or wired communication with the home server 50.
  • the measuring device 103 mixes magnetic beads and an antibody as a reactive substance that reacts with a biological substance in the washing water discharged from the concentrating device 102, and measures a magnetic field generated from the mixed mixture.
  • the measuring apparatus 103 transmits the measurement result of a magnetic field to the home server 50 via the communication part 103a.
  • the internal configuration of the measuring apparatus 103 is shown in a broken-line rectangle in FIG.
  • the measuring apparatus 103 includes a first flow path 104, second flow paths 105 1 to 105 n , a mixing section 106, a DC magnetic field generation section 107, an AC magnetic field generation section 108, and a magnetic field.
  • the sensor 110, the processing circuit 120, and the measurement control unit 130 are included.
  • the wash water containing the body substance drained from the concentrator 102 flows.
  • the connection portion with the concentrating device 102 corresponds to a reception unit that receives the cleaning water drained from the concentrating device 102 (that is, the cleaning water drained from the cleaning machine 101).
  • the second flow paths 105 1 to 105 n are flow paths branched from the first flow path 104, and the washing water flowing from the first flow path 104 flows therethrough. In the case of the example in FIG. 3, it is assumed that the wash water flows through the second flow paths 105 1 to 105 n from the left side where the first flow path 104 is located toward the right side where the mixing unit 106 is located.
  • the mixing unit 106 is provided upstream of the second flow path 105 1. Then, the mixing unit 106 has accumulated magnetic beads specific antibody is bound, to inject the magnetic beads in the second flow path 105 1. Accordingly, the mixing unit 106, the washing water flowing in the second flow path 105 1, mixing the magnetic beads to which the antibody is bound. As described above, the washing water flowing through the second flow path 105 1 may include internal substances obtained from the user. Therefore, when a specific antigen (in this example, oral bacteria) is contained in the body substance and an antibody that causes an antigen-antibody reaction with the specific antigen is bound to the magnetic beads, The antigen is bound to the magnetic bead by binding to the antibody injected by the mixing unit 106 through an antigen-antibody reaction. On the other hand, when an antibody that causes an antigen-antibody reaction with an antigen contained in a substance in the body is not bound to the magnetic bead, there is no antibody bound to the magnetic bead. Does not cause antibody reaction.
  • a specific antigen in this example, oral bacteria
  • the mixing unit 106 also provided in the second flow path 105 2 ⁇ 105 n.
  • the mixing part 106 provided for every 2nd flow path accumulate
  • a specific antigen in this example, oral bacteria
  • that causes an antigen-antibody reaction with the antibody injected by the mixing unit 106 passes through the antibody. Bind with magnetic beads.
  • the second flow path 105 1 antibody A1 to cause antigen B1 and antigen-antibody reaction is injected into the 2 second flow path 105, an antibody causing antigen B2 and antigen-antibody reaction A2 is injected into the second flow path 105 3, it is assumed that the antibody A3 to cause antigen B3 antigen-antibody reaction is injected.
  • the washing water flowing through the second flow paths 105 1 to 105 3 includes antigens B1, B2, and B3.
  • antigen B1 binds to the magnetic beads via an antibody A1
  • antigens B2 are bound to magnetic beads via an antibody A2
  • the antigen B3 binds to the magnetic beads via an antibody A3.
  • a different antigen binds to the magnetic bead via the antibody for each second channel.
  • magnetic beads to which antigens such as oral bacteria are bound may be referred to as “bound beads”, and magnetic beads to which antigens are not bound may be denoted as “unbound beads”.
  • Direct current magnetic field generator 107 than mixing unit 106 disposed downstream of the second flow path 105 1, generates a DC magnetic field.
  • the DC magnetic field generator 107 such that the second flow path 105 1 is positioned in the magnetic field generated from the direct current magnetic field generator 107, is provided in the vicinity of the second channel 105 1.
  • the DC magnetic field generator 107 is formed of a magnetized coil, and generates a DC magnetic field by applying a voltage to the magnetized coil.
  • the DC magnetic field generator 107 may be a permanent magnet or an electromagnet that generates a DC magnetic field.
  • Such direct current magnetic field generator 107 by generating a DC magnetic field, magnetized magnetic beads flowing through the second flow path 105 1.
  • AC magnetic field generation unit 108 rather than direct current magnetic field generator 107 is provided downstream of the second flow path 105 1, generates an AC magnetic field.
  • the AC magnetic field generation unit 108 as the second flow path 105 1 is located in the magnetic field generated from the alternating magnetic field generating unit 108, is provided in the vicinity of the second channel 105 1.
  • the AC magnetic field generation unit 108 is formed of a coil, and generates an AC magnetic field by applying a voltage to the coil. This has been described as an example 1 second flow path 105, the AC magnetic field generation unit 108 is also provided in the second flow path 105 2 ⁇ 105 n.
  • FIG. 3 shows an example where magnetic beads 109 3 is included in the wash water antigen 109 1 is attached via the antibody 109 2.
  • the antigen that causes an antigen-antibody reaction with the antibody injected by the mixing unit 106 is not contained in the washing water, magnetic beads to which no antigen is bound are contained in the washing water. Become. Even if the antigen that causes an antigen-antibody reaction with the antibody is contained in the washing water, if the amount of the antigen is less than the amount of the antibody, the antigen is bound to the magnetic beads to which the antigen is bound.
  • Unwashed magnetic beads will be contained in the washing water.
  • Such magnetic beads rotate due to the Brownian relaxation phenomenon when an alternating magnetic field is applied by the alternating magnetic field generator 108.
  • the speed (frequency) of Brownian rotational movement due to this Brownian relaxation phenomenon depends on the mass of the magnetic beads. Specifically, the bound bead is heavier in mass by the antigen than the unbound bead, and the turning radius of the Brownian rotational motion is increased. For this reason, the Brownian rotational motion of the bonded beads is slower than the Brownian rotational motion of the unbound beads.
  • the bonded beads having a relatively higher mass than the unbound beads resonate with the AC magnetic field and generate a larger magnetic field.
  • an unbound bead having a lighter weight than the bound bead resonates with the alternating magnetic field and generates a larger magnetic field if the frequency of the alternating magnetic field generated from the alternating magnetic field generator 108 is high. . That is, by generating an alternating magnetic field having a frequency corresponding to the Brownian rotational motion from the alternating magnetic field generator 108, it is possible to increase the magnetic field generated from the coupled beads or to increase the magnetic field generated from the unbound beads. .
  • the magnetic field sensor 110 and the processing circuit 120 measure the magnetic field generated from the bound beads and unbound beads to which an alternating magnetic field is applied by the alternating magnetic field generator 108.
  • the magnetic field sensor 110 and the processing circuit 120 will be described later.
  • the measurement control unit 130 is realized by an integrated circuit such as ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array). Further, for example, the measurement control unit 130 is realized by executing various programs using a RAM (Random Access Memory) as a work area by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like.
  • ASIC Application Specific Integrated Circuit
  • FPGA Field Programmable Gate Array
  • Such a measurement control unit 130 corresponds to a measurement unit that controls processing by the measurement apparatus 103. Specifically, the measurement control unit 130 transmits the fingerprint image read by the authentication unit 101 a to the home server 50. In this case, the home server 50 performs user authentication based on the image received from the measurement control unit 130 and notifies the measurement control unit 130 of the authentication result. At this time, if the authentication is successful, the home server 50 notifies the measurement control unit 130 of the user ID for identifying the user together with the authentication result.
  • the measurement control unit 130 does not inject the antibody and the magnetic beads into the mixing unit 106 and does not generate the DC magnetic field at the DC magnetic field generation unit 107.
  • the AC magnetic field generator 108 does not generate an AC magnetic field, and the processing circuit 120 does not perform the magnetic field measurement process. Thereby, the measurement control unit 130 can perform the sensing process only when the user authentication is successful.
  • the measurement control unit 130 causes the mixing unit 106 to inject antibodies and magnetic beads, causes the DC magnetic field generation unit 107 to generate a DC magnetic field, and causes the AC magnetic field generation unit 108 to generate an AC magnetic field.
  • the processing circuit 120 to perform magnetic field measurement processing.
  • the magnitude of the magnetic field generated from the bound and unbound beads depends on the frequency of the alternating magnetic field. Therefore, the measurement control unit 130 can control the frequency of the AC magnetic field generated from the AC magnetic field generation unit 108 to increase the magnetic field generated from the bound beads or increase the magnetic field generated from the unbound beads. it can.
  • the measurement control unit 130 measures the magnetic field in a state where the magnetic field generated from the bonded beads is increased, or measures the magnetic field in a state where the magnetic field generated from the unbound beads is increased. And the measurement control part 130 measures a magnetic field in such various states for every 2nd flow path, and transmits the measurement result for every 2nd flow path to the home server 50.
  • FIG. the measurement control unit 130 measures state information identifying the measurement state, antibody information identifying the antibody injected into the second flow path (or information identifying the second flow path), and magnetic field measurement. The combination with the result is transmitted to the home server 50.
  • the home server 50 described later obtains the amount of bound beads contained in the wash water and the relative amount of bound and unbound beads based on the magnetic field measurement result. Thereby, the in-home server 50 predicts the amount and concentration of the antigen (in this example, oral bacteria) contained in the user's body.
  • valves that can be opened and closed may be provided in the second flow paths 105 1 to 105 n shown in FIG.
  • a valve is provided between the position where the mixing unit 106 is provided and the position where the DC magnetic field generation unit 107 is provided, or between the position where the DC magnetic field generation unit 107 is provided and the position where the AC magnetic field generation unit 108 is provided. May be.
  • the measurement control unit 130 may control the valve to be closed until the time required for the antigen-antibody reaction elapses, and may control the valve to be opened after the time required for the antigen-antibody reaction elapses. .
  • the magnetic field sensor 110 has a magnetic body whose permeability changes as a function of the magnetic field when an external magnetic field is applied, and has a phase of a current (carrier) supplied to a transmission line provided in the vicinity of the magnetic body. Based on this, it is a sensor for detecting a magnetic field applied to a magnetic body. In addition, it can be said that the electric current which flows through a transmission line has the characteristic which changes with the influence of the magnetic field in a magnetic body, and this characteristic shows the characteristic of the antigen contained in a user's body.
  • FIG. 4 is a top view showing the magnetic field sensor 110 according to the first embodiment.
  • FIG. 5 is a schematic sectional view taken along the line AA in FIG.
  • the magnetic field sensor 110 includes a substrate 111, a CoNbZr (cobalt niobium zirconium) thin film 112, a SrTiO (strontium titanate) thin film 113, and Cu (copper) thin films 114 1 to 114 3 .
  • the substrate 111 is formed of glass such as potash glass or soda lime glass, for example.
  • the dimension H1 in the short direction on the surface of the substrate 111 on which the CoNbZr thin film 112 and the SrTiO thin film 113 are laminated is 1.15 [mm], for example, and the dimension H2 in the longitudinal direction is 12 [mm], for example. ].
  • the thickness H3 of the substrate 111 is, for example, 1 [mm].
  • the material and dimensions of the substrate 111 are not limited to this example.
  • the CoNbZr thin film 112 is amorphous, and is formed as a magnetic film having a magnetic impedance effect on the substrate 111 on which a resist pattern is formed by a high frequency sputtering method or the like.
  • the thickness of the CoNbZr thin film 112 is, for example, 5 [ ⁇ m].
  • the resist film is peeled off after the CoNbZr thin film 112 is formed, whereby a magnetic film pattern is obtained.
  • the CoNbZr thin film 112 is given magnetic anisotropy in a predetermined axial direction by heat treatment in a magnetic field or the like. In this example, the CoNbZr thin film 112 is given a short direction magnetic anisotropy.
  • the SrTiO thin film 113 is a ferroelectric film as an insulating layer, and is formed on the substrate 111 on which the CoNbZr thin film 112 is formed by high frequency sputtering or the like.
  • the thickness of the SrTiO thin film 113 is, for example, 6 [ ⁇ m] or less.
  • the Cu thin films 114 1 to 114 3 are formed on the SrTiO thin film 113 on which a resist pattern for forming a coplanar line is formed by a high frequency sputtering method or the like. Specifically, Cr (chromium) having a thickness of about 0.2 [ ⁇ m] is formed on the SrTiO thin film 113 as a base for improving the adhesion of the film. Then, the Cu thin films 114 1 to 114 3 are formed on the Cr thin film by a high frequency sputtering method or the like. The thickness of the Cu thin films 114 1 to 114 3 is, for example, 4 [ ⁇ m].
  • a coplanar line pattern By removing the resist after the Cu thin films 114 1 to 114 3 are formed, a coplanar line pattern can be obtained.
  • the interval H4 between adjacent Cu thin films is, for example, 0.05 [mm].
  • the dimension H5 in the short direction of the coplanar line is, for example, 0.3 [mm].
  • the processing circuit 120 described later measures the magnetic field generated from the coupled beads and unbound beads by detecting the phase difference of the current flowing through the coplanar line of the magnetic field sensor 110.
  • FIG. 4 and 5 show a linear coplanar line
  • the coplanar line is not limited to a linear shape.
  • FIG. 6 is a top view showing another magnetic field sensor according to the first embodiment.
  • coplanar lines 114a, 114b, 114c, 114d, 114e, and 114f are formed.
  • the coplanar line is not limited to a linear shape, but may be a meander shape (zigzag shape).
  • the example is not limited to the example illustrated in FIG. 6, and the coplanar line may have a spiral shape.
  • FIG. 6 shows an example in which magnetic thin films 113a, 113b, 113c, 113d, 113e, and 113f are further provided on the magnetic field sensors 110a, 110b, 110c, 110d, 110e, and 110f.
  • it is good also as a structure which pinches
  • any of the magnetic field sensor 110 shown in FIG. 4 and the magnetic field sensors 110a, 110b, 110c, 110d, 110e, and 110f shown in FIG. 6 may be adopted.
  • the longer the coplanar line that overlaps the magnetic thin film the more sensitive the magnetic field can be detected while the S / N ratio tends to deteriorate. For this reason, it is desirable to employ any one of the magnetic field sensors depending on the balance between the detection accuracy and the SN ratio.
  • the coplanar line is formed in the magnetic field sensor 110.
  • the magnetic field sensor 110 may be formed with a microstrip line or a triplate line.
  • FIG. 7 is a diagram illustrating another example of the magnetic field sensor according to the first embodiment.
  • the magnetic field sensor 110 g includes a ground plane 115, an insulating film 116, a conductor 117, and a magnetic thin film 118.
  • An insulating film 116 and a conductor 117 are sequentially stacked on the ground plane 115.
  • the conductor 117 forms a microstrip line as a transmission line through which a current flows.
  • the magnetic thin film 118 is placed on the microstrip line.
  • a soft magnetic film such as CoNbZr or NiFe (nickel alloy) is used.
  • the magnetic thin film 118 is assumed to have magnetic anisotropy in a direction orthogonal to the microstrip line.
  • a magnetic field sensor 110g illustrated in FIG. 7 may be used.
  • FIG. 7 shows a linear microstrip line
  • the microstrip line may have a meander shape (zigzag shape) or a spiral shape.
  • the magnetic field sensor 110g may be formed with a coplanar line or a triplate line instead of the microstrip line.
  • the processing circuit 120 measures the magnetic field generated from the mixture (bound beads or unbound beads) flowing through the second flow path based on the signal input to the magnetic field sensor 110 and the signal output from the magnetic field sensor 110. To do. For example, the processing circuit 120 measures the magnetic field by a DMTD (Dual Mixer Time Difference) method or the like.
  • DMTD Direct Mixer Time Difference
  • FIG. 8 is a diagram illustrating an example of the processing circuit 120 according to the first embodiment. As shown in FIG. 8, the processing circuit 120 includes an oscillator 121, a phase shifter 122, an oscillator 123, mixers 124a and 124b, amplifiers 125a and 125b, and band pass filters (BPFs) 126a and 126b. And comparators 127a and 127b and a counter 128.
  • a magnetic field sensor 110 is provided between the oscillator 121 and the mixer 124a.
  • Oscillator 121 generates a first repetitive signal having a predetermined frequency f 1.
  • the oscillator 121 supplies an AC current of 2 to 3 [GHz] to the circuit.
  • the first repetitive signal generated from the oscillator 121 is distributed to the magnetic field sensor 110 and the phase shifter 122.
  • the first repetitive signal distributed to the magnetic field sensor 110 is transmitted by the coplanar line of the magnetic field sensor 110.
  • the magnetic field sensor 110 changes the impedance of the transmission line by applying an external magnetic field generated from the coupled beads or the unbound beads. For this reason, when an external magnetic field is applied to the magnetic field sensor 110, the phase of the first repetitive signal is modulated.
  • the first repetitive signal distributed to the phase shifter 122 is attenuated and phase shifted by the phase shifter 122.
  • the first repetitive signal output from the phase shifter 122 does not pass through the magnetic field sensor 110, it is not affected by the external magnetic field generated from the bound beads or unbound beads. For this reason, the phase of the first repetitive signal output from the phase shifter 122 is not modulated.
  • Oscillator 123 generates a second repetitive signal of a different frequency f 2 to the frequency f 1 of the first repetitive signal.
  • the second repetitive signal generated from the oscillator 123 is distributed to the mixer 124a and the mixer 124b.
  • the mixer 124 a mixes the second repetitive signal generated from the oscillator 123 and the output signal from the magnetic field sensor 110. Further, the mixer 124 b mixes the second repetitive signal generated from the oscillator 123 and the output signal from the phase shifter 122. For example, the mixers 124a and 124b down-convert a repetitive signal of 2 to 3 [GHz] to about 5 [kHz].
  • the signal output from the mixer 124a is amplified by the amplifier 125a, only the component of the predetermined frequency is passed by the band-pass filter 126a, and is converted into a rectangular wave by the comparator 127a.
  • the signal output from the mixer 124b is amplified by the amplifier 125b, only the component of the predetermined frequency is passed through the band-pass filter 126b, and is converted into a rectangular wave by the comparator 127b.
  • the counter 128 measures the phase difference between the output signal from the comparator 127a as shown by the signal waveform 129a and the output signal from the comparator 127b as shown by the signal waveform 129b as a time difference.
  • the magnetic field sensor 110 has a magnetic material (for example, the CoNbZr thin film 112) whose permeability changes as a function of the magnetic field when an external magnetic field is applied. That is, the counter 128 can measure the magnetic field applied to the magnetic field sensor 110 based on the measured phase difference, that is, the magnetic field generated from the bound beads and unbound beads.
  • the processing circuit 120 illustrated in FIG. 8 since the magnetic field is detected based on the phase difference of the output signal, the restriction of the SN ratio due to the thermal noise of the magnetic field sensor 110 and each circuit element is eliminated.
  • a sensitive magnetic sensor unit can be constructed. Further, according to the processing circuit 120 shown in FIG. 8, the S / N ratio can be improved by amplifying the output signals from the mixers 124a and 124b by the amplifiers 125a and 125b, respectively.
  • the home server 50 is a management device that is provided in the user's home and manages various types of information related to the user.
  • FIG. 9 is a diagram illustrating an example of the home server 50 according to the first embodiment. As shown in FIG. 9, the home server 50 includes a communication unit 51, a user information storage unit 52, an authentication unit 53, a reception unit 54, a prediction unit 55, a display control unit 56, and a transmission unit 57. Have.
  • the communication unit 51 performs wireless communication or wired communication with the communication unit 103a of the measurement apparatus 103.
  • the communication unit 51 receives, from the communication unit 103a, an authentication fingerprint image acquired by the authentication unit 101a and information on the magnetic field measured by the measurement device 103.
  • the user information storage unit 52 stores various types of information related to the user.
  • the user information storage unit 52 stores information on a family located in the house or a family living in another house.
  • FIG. 10 shows an example of the user information storage unit 52 according to the first embodiment.
  • the user information storage unit 52 includes items such as “user ID”, “date and time”, and “antigen”.
  • “User ID” indicates identification information for identifying a user. “Date and time” indicates the date and time when a biological substance such as oral bacteria was sensed by the user. “Antigen” indicates the amount of antigen contained in the user's body.
  • FIG. 10 shows “Porphynomonas gingivalis” and “Prevotella Intel Media” known as anaerobic bacteria that cause periodontal disease, the present invention is not limited thereto.
  • the user information storage unit 52 includes “Actinobacillus actinomycetemcomitans”, “Porphyromonas gingivalis”, “Fusobacterium nucleatum”, and “Trepone madenticola”. Etc. may be stored. Further, the user information storage unit 52 may store caries causing bacteria (for example, “mutans bacteria” or “Lactobacillus bacteria”).
  • M11 Porphynomonas gingivalis
  • N11 Prevoterra Intel Media
  • the authentication unit 53 performs user authentication processing based on the fingerprint image for authentication received from the measurement apparatus 103.
  • the user information storage unit 52 stores a fingerprint image registered in advance by each user.
  • the authentication unit 53 performs authentication processing by comparing the fingerprint image for authentication with the registered fingerprint image.
  • the authentication unit 53 notifies the measurement device 103 of the authentication result via the communication unit 51.
  • the home server 50 notifies the measurement control unit 130 of the user ID together with the authentication result.
  • the receiving unit 54 receives the measurement result of the magnetic field from the measuring device 103 via the communication unit 51. For example, the receiving unit 54 receives a combination of state information for identifying a measurement state, antibody information for identifying an antibody injected into the second flow path, and a magnetic field measurement result from the measurement device 103.
  • the predicting unit 55 is an antigen that causes an antigen-antibody reaction with each antibody mixed by the mixing unit 106 based on the measurement result of the magnetic field received by the receiving unit 54. Predict antigens involved. Specifically, the prediction unit 55 identifies the type of antigen based on the antibody information transmitted from the measurement device 103. Then, the prediction unit 55 predicts the amount of bound beads and the amount of unbound beads based on the state information transmitted from the measuring apparatus 103 and the measurement result of the magnetic field. For example, the predicting unit 55 predicts the amount of bound beads based on the magnetic field measured by the measuring device 103 in a state where the magnetic field generated from the bound beads is increased, so that the amount of antigen bound to the bound beads. Predict.
  • the prediction unit 55 may predict the amount of unbound beads based on the magnetic field measured by the measurement device 103 in a state where the magnetic field generated from the unbound beads is increased. Then, the prediction unit 55 may predict the relative amount of the bound bead and the unbound bead. Note that the measuring device 103 may measure the magnetic field only in a state where the magnetic field generated from the binding beads is increased. In this case, the prediction unit 55 may predict only the amount of bound beads. The predicting unit 55 may predict the concentration of the antigen contained in the wash water from the amount of the bound beads when the amount of the wash water flowing through the second flow path is determined in advance.
  • the prediction unit 55 predicts the type and amount of antigen (in this example, oral bacteria) included in the user's body. Then, the prediction unit 55 stores the amount of antigen as a prediction result in the user information storage unit 52 in association with the user ID.
  • the prediction result by the prediction part 55 is a detection result of the kind and quantity of the antigen contained in a user's body. That is, it can be said that the prediction unit 55 detects the type and amount of the antigen.
  • the prediction unit 55 may simply predict whether or not a predetermined antigen is contained in the user's body without predicting the amount of antigen contained in the user's body.
  • the prediction unit 55 may function as a determination unit that determines a user's health state from a biological material such as an antigen that is a prediction result. For example, the prediction unit 55 may determine the health state of the user based on the amount of antigen that is the prediction result. That is, the prediction unit 55 may predict a disease that the user is suffering from or a disease that the user is likely to suffer in the future. To explain with an example, it is assumed that the predicting unit 55 predicts that a causative agent for caries is included in the user's body. At this time, the prediction unit 55 determines that the user is suffering from caries or that there is a possibility of suffering from caries when the predicted amount of the causative agent for caries is greater than a predetermined amount.
  • the display control unit 56 displays the prediction result by the prediction unit 55 on the display device 60a.
  • the display control unit 56 causes the display device 60a to display the prediction result by transmitting the prediction result from the prediction unit 55 to the display device 60a.
  • FIG. 11 shows a display example in the first embodiment.
  • FIG. 11 shows an example in which the causative causative bacteria are predicted to be included in the user's body by the prediction unit 55.
  • FIG. 11 shows an example in which the bathroom mirror is a display device 60a having a display function.
  • Such a display device 60a is realized, for example, by attaching a transparent member (for example, glass) whose surface facing the user is specially processed like a mirror to the display surface of the display display.
  • the display device 60a is assumed to have a wireless communication function.
  • the display control unit 56 performs display control on the display device 60 a to the effect that the causative causative fungus has been found. Specifically, the display control unit 56 sends a message to the display device 60a that a causative agent for caries has been found. Accordingly, the display device 60a displays a message (for example, “Caries fungus has been found”) indicating that a causative agent for caries has been found.
  • the display control unit 56 may display and control information on the amount of carious causative bacteria on the display device 60a.
  • the display device 60a displays a message related to the amount of caries-causing bacteria (for example, “20 caries were found”).
  • the display control unit 56 may display and control a message related to the health state on the display device 60a.
  • the display device 60 a controls display of messages related to the danger of caries (for example, “there is a possibility of caries”, “the possibility of caries is low”).
  • the display control unit 56 may display the prediction results by the prediction unit 55 on the display device 60a in time series. For example, the display control unit 56 obtains the amount of antigen collected in a predetermined period (for example, one week or one month) from the user information storage unit 52, and relates to a graph showing the relationship between the amount of antigen and the sensing date and time. Information is transmitted to the display device 60a. At this time, the display control unit 56 may include a message regarding the danger of tooth decay on the graph. In this case, for example, the display device 60a controls display of a message (for example, “low risk” and “high risk”) regarding the danger of dental caries together with a graph indicating the relationship between the amount of antigen and the sensing date and time. In the example of FIG.
  • the amount of the causative causative bacteria in the display device 60a is in a low risk range from 30 days to 20 days ago, but the amount of the caries causative bacteria is in a high risk range from 10 days ago to today. Display. Thereby, the user can look back on the life so far and can improve future lifestyle habits by grasping the risk of disease displayed in time series.
  • the display control unit 56 advises according to the amount of antigen predicted by the prediction unit 55 as described with reference to FIG. Let's brush dentition ") on the display.
  • the home server 50 holds a health state table in which the antigen amount threshold value, the user's health state, and advice are associated with each other.
  • the prediction unit 55 determines that the health state corresponding to the threshold in the health state table is the user's state.
  • the display control part 56 may display the advice corresponding to a user's health condition on a display apparatus in a health condition table.
  • a plurality of threshold values may be stored for the same antigen.
  • the health status table information that associates the threshold value “T 1 [units / dl]” of antigen A with the health status “no tooth decay” and advice “well brushed” and antigen A
  • the prediction unit 55 when the amount of the antigen A is a prediction result is less than the thresholds T 1 determines the health condition of the user is "no caries”. Then, the display control unit 56 causes the display device to display the advice “I have brushed my teeth well” (or the health condition “No tooth decay”). Also, the prediction unit 55, when the amount of the antigen A is a prediction result is thresholds T 1 or more and less than the threshold T 2 are, determines the health status of the user that "there is a possibility to become a dental caries”. Then, the display control unit 56 displays the advice “Let's brush your teeth three times a day” on the display device.
  • the prediction unit 55 when the amount of the antigen A is a prediction result is the threshold value T 3 or more, determines the health status of the user is a "likely caries". Then, the display control unit 56 displays the advice “Please go to the dentist!” On the display device.
  • the health state table stores information in which a health state (such as diabetes) and advice are associated with each predictable biological material. Further, the display control unit 56 may vary the advice displayed at the present time in accordance with the advice displayed so far. For example, it is assumed that the display control unit 56 has continued to display advice such as “Don't go to school” so far, because the prediction unit 55 has predicted that the pathogen of the infectious disease is in the user's body. .
  • the display control unit 56 may display an advice such as “You can go to school” on the first day when the prediction unit 55 no longer predicts that the infectious disease pathogen is in the user's body.
  • the display control unit 56 for example, “today” unless the prediction unit 55 predicts that the pathogen of the infectious disease is in the user's body from the next day when “you can go to school” is displayed. "I am healthy too”.
  • the home server 50 may acquire advice from a doctor via the PHR processing device 20 by transmitting the prediction result by the prediction unit 55 to the PHR processing device 20.
  • the display control unit 56 may display advice from the doctor on the display device.
  • FIG. 12 is a diagram illustrating a display example in the first embodiment.
  • a smart brush system 1 shown in FIG. 12 includes a projector 70.
  • the projector 70 is attached to the ceiling or wall of a washroom, and has a wireless communication function with the in-home server 50. Then, the projector 70 projects various messages received from the home server 50 on the mirror 60b of the washstand so as to be visible. As described above, various messages may be displayed on the mirror by the projector 70.
  • the display control unit 56 includes a home monitor, a mobile terminal device, Various messages may be displayed on a display device such as a wearable information terminal or a wearable terminal.
  • the home server 50 transmits various messages to the display device 60a.
  • the home server 50 may transmit various messages to the measurement device 103.
  • the measuring device 103 displays various messages received from the home server 50 on a display device associated with the own device (measuring device 103) in advance.
  • the display device 60a provided in the mirror of the washstand is associated with the measuring device 103 of the washing machine 101 disposed in the washroom.
  • the measuring apparatus 103 displays various messages on the display device 60a.
  • the home server 50 can display various messages for the user on the display device in the vicinity of the user.
  • the transmission unit 57 transmits the prediction result by the prediction unit 55 to the PHR processing device 20.
  • the transmission unit 57 transmits the user ID and the prediction result to the PHR processing device 20 every time the prediction process by the prediction unit 55 is performed.
  • the transmission unit 57 periodically acquires various information stored in the user information storage unit 52 and transmits the acquired various information to the PHR processing device 20.
  • the PHR processing device 20 collects and accumulates each individual's biometric information from the home server installed in each home, and centrally manages the PHR big data integrated for a plurality of users on the healthcare cloud. .
  • FIG. 13 is a sequence diagram illustrating a processing procedure performed by the smart brush system 1 according to the first embodiment.
  • the cleaning machine 101 performs ultrasonic cleaning in accordance with a user operation (step S101).
  • the cleaning water used for the ultrasonic cleaning is drained to the measuring device 103 (step S102).
  • the washing water that has flowed into the measuring device 103 flows through the second flow paths 105 1 to 105 n branched from the first flow path 104. Although omitted here, the washing water may be drained to the measuring device 103 after being concentrated by the concentrating device 102.
  • the measuring apparatus 103 injects magnetic beads, to which a specific antibody is bound, into the washing water for each second flow path (step S103). And the measuring apparatus 103 measures the magnetic field which generate
  • the home server 50 predicts an antigen contained in the body based on the magnetic field measurement result received from the measurement device 103 (step S107).
  • the in-home server 50 predicts oral bacteria contained in the body.
  • the home server 50 feeds back information (for example, the amount of antigen, user health information) based on the prediction result to the user (step S108).
  • the cleaning machine 101 described above may be used by a plurality of users.
  • the predetermined user uses the washing machine 101, there is a possibility that the internal substance and the binding beads of the predetermined user remain in the first flow path 104 and the second flow paths 105 1 to 105 n. . Therefore, the smart brush system 1 may have a cleaning function for cleaning the first channel 104 and the second channels 105 1 to 105 n .
  • FIG. 14 is a diagram for explaining the cleaning process according to the first embodiment.
  • the cleaning machine 101 shown in FIG. 14 is provided with a cleaning button 101b.
  • the cleaning button 101b notifies the measurement control unit 130 to perform the cleaning process.
  • the measurement control unit 130 receives a notification that the cleaning process is to be performed, the antibody and the magnetic beads are not injected into the mixing unit 106, the DC magnetic field generation unit 107 is not generated with a DC magnetic field, and the AC magnetic field generation unit An AC magnetic field is not generated in 108, and a magnetic field measurement process is not performed in the processing circuit 120.
  • the first flow path 104 and the second flow paths 105 1 to 105 n are cleaned by the flow of water contained in the container of the cleaning machine 101.
  • antigens contained in the user's body can be predicted with high accuracy.
  • the smart brush system 1 may perform a prediction process for predicting the cleaning state of the cleaning machine 101.
  • the measurement control unit 130 sends an AC magnetic field to the AC magnetic field generation unit 108 in a state where water flows through the first flow path 104 and the second flow paths 105 1 to 105 n in the above-described cleaning process.
  • the processing circuit 120 to perform magnetic field measurement processing.
  • the amount of antigen remaining in the second flow paths 105 1 to 105 n after washing is predicted by the prediction unit 55 of the home server 50.
  • the predicting unit 55 predicts that the washing is sufficient when the predicted amount of the antigen is equal to or less than the predetermined threshold, and the washing is not performed when the amount of the antigen is larger than the predetermined threshold. Predict that it is sufficient.
  • the display control unit 56 may display-control information related to the prediction result of the cleaning state on the display device 60a.
  • the prediction unit 55 predicts that the cleaning is insufficient.
  • the display control unit 56 causes the display device 60a to display a message indicating that the cleaning is insufficient (for example, “Please clean again!”). It is assumed that the cleaning is performed again in this state and the prediction unit 55 predicts that the cleaning is sufficient. In this case, as shown on the right side of FIG. 14, the display control unit 56 displays a message that is determined to be sufficient for cleaning (for example, “I was able to clean cleanly”).
  • the user can use the sufficiently cleaned washer 101, so that the antigen contained in the user's body can be predicted with higher accuracy. it can.
  • the antigen-antibody reaction described above may take about 30 to 60 minutes. Therefore, as described above, it has been described that a valve that can be opened and closed may be provided in the second flow paths 105 1 to 105 n of the measuring apparatus 103.
  • the antigen-antibody reaction in all antigens does not take about 30 to 60 minutes uniformly, and some antigens may cause an antigen-antibody reaction immediately. Therefore, in the smart brush system 1 described above, immediately after the user uses the washing machine 101, “whether or not an antigen is contained in the body” is predicted, and a sufficient time required for the antigen-antibody reaction (for example, 30 minutes to 60 minutes). “Amount of antigen contained in the body” may be predicted after a minute).
  • FIG. 15 is a diagram showing a display example in the first embodiment.
  • the cleaning machine 101 is used by the user at 7:00.
  • the measuring apparatus 103 may be used after an arbitrary time has elapsed since the antibody and magnetic beads were mixed with the washing water flowing from the washing machine 101 (for example, immediately after mixing, after 1 minute has elapsed, or after 5 minutes have elapsed). ), The magnetic field measurement process described above is performed.
  • the home server 50 predicts whether or not an antigen is contained in the user body based on the measurement result, and the prediction result (for example, “the causative causative fungus has been found. .. ”) is displayed on the display device 60a.
  • the measurement apparatus 103 performs the above-described magnetic field measurement process again after a time (for example, 30 minutes) longer than the above-described arbitrary time has elapsed. Then, the home server 50 predicts the amount of antigen contained in the user's body based on the measurement result, and displays information (for example, “... not a dangerous amount”) based on the prediction result on the display device 60a. To display. As described above, in the smart brush system 1, even if it takes time for the antigen-antibody reaction, the presence or absence of the causative agent of the disease can be immediately fed back to the user.
  • the measuring apparatus 103 described above may be controlled so as not to inject the antibody and the magnetic beads using the predetermined second channel among the second channels 105 1 to 105 n for comparison.
  • the in-home server 50 generates a comparison magnetic field measured in the second flow path where the antibody and the magnetic beads are not injected, and a magnetic field measured in the second flow path where the antibody and the magnetic beads are injected.
  • a prediction result can be obtained with high accuracy and speed.
  • the prediction unit 55 determines that the body contains an antigen. Predict.
  • the prediction unit 55 can predict the presence or absence of an antigen as soon as possible by using the magnetic field for comparison.
  • the predicting unit 55 can predict the amount of the antigen with high accuracy even after the time required for the antigen-antibody reaction has elapsed, based on the difference between the two magnetic fields.
  • FIG. 16 is a diagram illustrating an example of the smart sync system 2 according to the first embodiment.
  • the smart sync system 2 includes a sink 201, a concentration device 202, and a measurement device 203.
  • the sink 201 is a fixture that discharges the user's discharge and drains the discharge.
  • the sink 201 drains, to the concentrator 202, water discharged when the user gargles, water discharged when the user brushes his teeth, or water used by the user to wash his hands and face.
  • an oral cleaning device is also known that cleans the oral cavity (teeth, interdental teeth and gums) with high-pressure water flow or pneumatic pressure.
  • the sink 201 drains water that is discharged when the oral cleaning device is used and cleaning water that cleans the oral cleaning device.
  • the water drained by such a sink 201 may contain body substances.
  • the concentrator 202 performs the same processing as the concentrator 102 shown in FIG.
  • the measuring device 203 performs the same processing as that of the measuring device 103 shown in FIG.
  • the authentication unit 201a provided in the sink 201 performs the same processing as the authentication unit 101a illustrated in FIG.
  • description of processing by the concentrating device 202, the measuring device 203, and the authentication unit 201a is omitted.
  • FIG. 17 is a diagram illustrating an example of the smart toilet system 3 according to the first embodiment.
  • the smart toilet system 3 includes a toilet 301, a concentrating device 302, and a measuring device 303.
  • the toilet bowl 301 drains the substance discharged from the user.
  • the toilet 301 is provided with a nozzle for washing the anus and the like, and a tray 301b is provided at the tip of the nozzle.
  • the wash water obtained by washing the user's anus and the like is received by the tray 301 b, and the received wash water is collected by a vacuum suction method or the like and drained to the concentrator 302.
  • the concentrator 302 performs the same processing as the concentrator 102 shown in FIG.
  • the measuring device 303 performs the same processing as the measuring device 103 shown in FIG. Further, the authentication unit 301a provided in the toilet bowl 301 performs the same processing as the authentication unit 101a illustrated in FIG. Here, description of processing by the concentrating device 302, the measuring device 303, and the authentication unit 301a is omitted.
  • Such a smart toilet system 3 can detect enteric bacteria in the daily life of the user. Bacteria that lead to infectious diseases are also known among intestinal bacteria, but in smart toilet system 3, it is possible to prevent the spread of infectious diseases by displaying the detected intestinal bacteria on a home display device. it can. Examples of enteric bacteria detected by the smart toilet system 3 include norovirus and Campylobacter, which have a high incidence in modern society, Salmonella, Vibrio parahaemolyticus, Staphylococcus aureus, and Clostridium botulinum that have a low incidence in modern society. Can be mentioned.
  • the home server 50 may predict an antibody (for example, an immune substance such as a protein) contained in the body based on the measurement result of the magnetic field by the measurement devices 103, 203, and 303. In this case, the home server 50 may predict that the user is healthy if the antibody contained in the body is a normal value, and may display the prediction results on various display devices.
  • an antibody for example, an immune substance such as a protein
  • the magnetic field generated from the mixture can be accurately measured by the magnetic field sensor 110 described above, the biological material contained in the user's body can be accurately detected. Furthermore, according to the first embodiment, since different antibodies and antigens are injected for each second flow path, a plurality of items of antigens and antibodies can be detected in a single process. In the daily human dock described above, since a sensor is provided in a toothbrush washing machine or the like, this daily human dock can be realized by using the measuring device 103 capable of detecting many items.
  • FIG. 18 is a diagram illustrating an example of the smart toilet system 4 according to the second embodiment.
  • the smart toilet system 4 includes a toilet 401, a home server 50, and a display device 60.
  • the toilet bowl 401 is provided with an authentication unit 401a and a measuring device 410.
  • the authentication unit 401a corresponds to a sensor that reads a user's fingerprint and the like, like the authentication unit 101a illustrated in FIG.
  • the measuring device 410 is installed behind the toilet seat of the toilet 401 or in the toilet seat. Further, the measuring device 410 is attached with an arm 410a formed in a hollow cylindrical shape. One end of the arm 410 a is attached to the measuring device 410. In addition, a receiving tray is provided at the other end of the arm 410a, and a liquid detection sensor for detecting contact with the liquid is provided on the receiving tray. Further, as shown in FIG. 18, the arm 410 a can swing with one end attached to the measuring device 410 as a fulcrum. In addition, when the toilet bowl 401 is not utilized by the user, the arm 410a is accommodated in the back side of the toilet seat or in the toilet seat.
  • Such a measuring device 410 can be used by swinging the arm 410a when the user uses the toilet bowl 401 (for example, when the toilet seat lid is opened or when authentication through the authentication unit 401a is successful).
  • the urine discharged from the user is brought into contact with the arm 410a.
  • the measuring device 410 swings the arm 410a until the liquid detection sensor of the arm 410a detects contact with the liquid, and stops the arm 410a when contact with the liquid is detected.
  • emitted from the user enters into the saucer of the arm 410a.
  • the measuring device 410 causes such urine and a predetermined enzyme to undergo a catalytic reaction, measures the amount of heat generated in the catalytic reaction, and transmits the measurement result to the home server 50.
  • the home server 50 predicts a biological material such as a substrate (for example, glucose: urine sugar) contained in urine based on the measurement result of the calorific value. Then, the home server 50 transmits the prediction result to the PHR processing device 20 and various display devices 60. Thereby, the PHR processing apparatus 20 accumulate
  • FIG. 19 is a diagram illustrating an example of the measurement apparatus 410 according to the second embodiment.
  • the measurement device 410 includes a communication unit 411, a sensor chip 420, and a measurement control unit 430.
  • the communication unit 411 performs wireless communication or wired communication with the home server 50.
  • the communication unit 411 corresponds to a transmission unit that transmits the fingerprint image for authentication acquired by the authentication unit 401 a and the measurement result of the calorific value measured by the measurement control unit 430 described later to the in-home server 50.
  • the sensor chip 420 measures a temperature change due to a catalytic reaction between a user's urine flowing through the arm 410a and a predetermined enzyme.
  • the sensor chip 420 may be fixed to the measurement device 410 or may be removable from the measurement device 410.
  • the sensor chip 420 will be described later.
  • the measurement control unit 430 is realized by an integrated circuit such as ASIC or FPGA, for example. Further, for example, the measurement control unit 430 is realized by executing various programs using the RAM as a work area by a CPU, an MPU, or the like.
  • Such a measurement control unit 430 corresponds to a measurement unit that controls processing by the measurement apparatus 410. Specifically, when the authentication result notified from the in-home server 50 indicates success, the measurement control unit 430 swings the arm 410a stored in the toilet seat, and the urine discharged from the user and the arm 410a is brought into contact. In this case, the measurement control unit 430 calculates the amount of heat generated by the catalytic reaction between urine and the enzyme based on the temperature change detected by the sensor chip 420, and the calculated amount of generated heat is transmitted to the home server 50 via the communication unit 411. Send to.
  • the measurement control unit 430 does not allow the arm 410a to contact the urine discharged from the user by keeping the arm 410a in the toilet seat without swinging. In this case, the measurement control unit 430 does not perform a heat generation amount calculation process or a process for transmitting the heat generation amount to the home server 50.
  • the measurement control unit 430 performs processing for cleaning the sensor chip 420.
  • the toilet 401 illustrated in FIG. 18 includes a water discharge unit 403 that discharges water. Then, the measurement control unit 430 discharges water when a predetermined time has elapsed since the toilet 401 was used by the user, or when a predetermined time has elapsed since the liquid detection sensor of the arm 410a detected contact with the liquid.
  • the water discharge part 403 is controlled so that water is discharged from the part 403 to the tray of the arm 410a. Thereby, the water discharged
  • the sensor chip 420 is a calorimetric sensor that uses a temperature change caused by a thermal reaction between a biological material and an enzyme to identify the type and amount of the biological material even at normal temperature and low power consumption.
  • FIG. 20 is a diagram illustrating an example of a sensor chip 420 according to the second embodiment. As shown in FIG. 20, the sensor chip 420 includes a substrate 421, an absolute temperature sensor 422 as a first temperature sensor, a sample injection hole 423, flow paths 424 1 to 424 3 and reaction units 425 1 to 425. 3 , temperature sensors 426 1 to 426 3 as second temperature sensors, electrodes 427 1 to 427 3, and a common electrode 428.
  • the substrate 421 is, for example, a semiconductor silicon single crystal substrate.
  • the absolute temperature sensor 422 is a pn junction diode, for example, and is provided on the substrate 421. The absolute temperature sensor 422 measures the absolute temperature of the substrate 421.
  • a sample such as urine is injected into the sample injection hole 423 through the arm 410a.
  • Channels 424 1 to 424 3 are branched channels branched from the sample injection hole 423 and extend from the sample injection hole 423 to the discharge portion.
  • the flow paths 424 1 to 424 3 correspond to, for example, a microcapillary or a microchannel, and move urine or the like injected into the sample injection hole 423 toward the discharge portion by capillary action. Note that the flow paths 424 1 to 424 3 are not limited to this example, and urine or the like injected into the sample injection hole 423 may be moved toward the discharge portion by electrophoresis or dielectrophoresis.
  • the discharge unit is connected to the drainage channel of the toilet 401 and discharges urine, water, and the like injected into the sample injection hole 423 to the drainage channel.
  • the sample injection hole 423 corresponds to a reception unit that receives urine discharged from the toilet 401.
  • the measurement control unit 430 described above cleans the sensor chip 420 by controlling the water discharge unit 403. At this time, urine already injected into the sensor chip 420 is washed away to the discharge portion by the wash water from the water discharge portion 403. As a result, the sensor chip 420 can be easily washed and can be used repeatedly.
  • the reaction units 425 1 to 425 3 are respectively provided in the flow paths 424 1 to 424 3 between the sample injection hole 423 and the discharge unit.
  • a sample holder into which urine moving through the channels 424 1 to 424 3 enters is formed.
  • an enzyme having a catalytically active functional site with respect to a specific substrate is immobilized in the reaction units 425 1 to 425 3 .
  • a specific enzyme is fixed to the reaction units 425 1 to 425 3 by attaching a mixture of an enzyme solution and a photocrosslinkable polyvinyl alcohol resin.
  • a coenzyme that activates the catalytic reaction may be fixed to the reaction units 425 1 to 425 3 together with the enzyme.
  • FIG. 21 shows an example of an enzyme and a coenzyme in the second embodiment.
  • FIG. 21 shows specific examples of various substrates and enzymes and coenzymes corresponding to the substrates.
  • the substrate “glucose” and the enzyme “glucose oxidase” undergo a catalytic reaction.
  • the reaction units 425 1 to 425 3 for example, a cavity is formed in the substrate 421 facing the reaction units 425 1 to 425 3 and a part of the flow paths 424 1 to 424 3 before and after the reaction units 425 1 to 425 3.
  • a cross-linked structure in which can be formed can be employed.
  • a cantilever structure disclosed in Patent Document 5 can be adopted as the reaction units 425 1 to 425 3 .
  • the reaction units 425 1 to 425 3 may be provided with a heating unit (for example, a thin film heater) that keeps the sample holder at a predetermined temperature (for example, 38 [° C.]).
  • a heating unit for example, a thin film heater
  • the sample holder can be kept at a temperature suitable for the catalytic reaction (for example, 38 [° C.]), and the sample holder can be kept in the same environment. Can be measured.
  • reaction units 425 1 to 425 3 different enzymes are immobilized on the reaction units 425 1 to 425 3 , respectively. That is, of the various substrates contained in the urine moving through the channels 424 1 to 424 3 , only a specific substrate undergoes a catalytic reaction with the enzyme immobilized on the reaction units 425 1 to 425 3 .
  • a substrate SU1 enzyme E1 which catalyzes the reaction is fixed, the reaction unit 425 2, a substrate SU2 and enzyme E2 to catalyze the reaction is fixed, the reaction unit 425 3 Assumes that the enzyme E3 that catalyzes the substrate SU3 is immobilized.
  • the urine moving through the channels 424 1 to 424 3 includes the substrates SU1, SU2, and SU3.
  • the reaction part 425 1 a substrate SU1 enzymes E1 and catalyze the reaction
  • the reaction part 425 2 a substrate SU2 enzyme E2 and catalyze the reaction
  • the reaction part 425 3 substrate SU3 to enzyme E3 and catalysis .
  • a specific substrate can be selectively reacted with an enzyme for each reaction part (that is, for each flow path).
  • the temperature sensors 426 1 to 426 3 are provided on the substrate 421 similarly to the absolute temperature sensor 422. Specifically, the temperature sensors 426 1 to 426 3 are provided in the reaction units 425 1 to 425 3 , respectively.
  • the temperature sensors 426 1 to 426 3 are thin film thermocouples. That is, the temperature sensors 426 1 to 426 3 generate voltages according to temperature changes in the reaction units 425 1 to 425 3 .
  • the electrodes 427 1 to 427 3 are for taking out the thermoelectromotive force based on the thermal reaction from each of the temperature sensors 426 1 to 426 3 under the control of the measurement control unit 430.
  • the absolute temperature sensor 422 and the temperature sensors 426 1 to 426 3 (or the absolute temperature sensor 422, the temperature sensors 426 1 to 426 3 and the electrodes 427 1 to 427 3 ) are moved to the reaction units 425 1 to 425 3 . It can be said that this is a temperature measurement unit that measures a temperature change based on the thermal reaction between the body substance and the enzyme.
  • the number of flow paths formed in the sensor chip 420 is not limited to the example shown in FIG.
  • one or two flow paths may be formed in the sensor chip 420, or four or more flow paths may be formed.
  • the measurement control unit 430 shown in FIG. 19 uses the temperature measured by the absolute temperature sensor 422 as a reference and the temperature difference (from the output voltage of the temperature sensors 426 1 to 426 3 taken out by the electrodes 427 1 to 427 3 ( That is, the temperature rise due to the catalytic reaction) is measured. And the measurement control part 430 measures the emitted-heat amount in each reaction part based on the temperature change which is a measurement result. Then, the measurement control unit 430 transmits the measurement result for each reaction unit to the home server 50. For example, the measurement control unit 430 transmits the combination of enzyme information (or information for identifying the reaction unit) for identifying the enzyme fixed to the reaction unit and the calorific value measurement result to the home server 50.
  • the home server 50 predicts a substrate contained in the user's body based on the measurement result of the calorific value.
  • the amount of heat generated in the reaction unit is measured from the measurement results obtained by the temperature sensors 426 1 to 426 3 with reference to the temperature measured by the absolute temperature sensor 422. Therefore, the absolute temperature sensor 422 is preferably provided in the vicinity of the temperature sensors 426 1 to 426 3 . As a result, the absolute temperature sensor 422 and the temperature sensors 426 1 to 426 3 can be provided in the same environment, so that the measurement control unit 430 can accurately measure the amount of heat generation.
  • a waveform W11 shows an example of an output voltage when the substrate concentration in the urine sample is high
  • a waveform W12 shows an example of an output voltage when the substrate concentration is lower than the sample corresponding to the waveform W11.
  • the measurement control unit 430 may measure the amount of heat generated in each reaction unit based on the peak value (voltage P11 in the waveform W11, voltage P12 in the waveform W12) in the output voltage of the temperature sensor, or the waveform of the output voltage You may measure the emitted-heat amount in each reaction part based on an integral value.
  • the amount of heat generated by the catalytic reaction will be described.
  • the substrate “glucose” and the enzyme “glucose oxidase” will be described as examples.
  • the volume of urine that catalyses in the reaction section (that is, the volume of the sample holder) V0 is 16 ⁇ 10 ⁇ 5 [cm 3 ] ⁇ 1.0 ⁇ 10 ⁇ 7 [l].
  • a home server 50 according to the second embodiment will be described.
  • the configuration of the home server 50 is the same as the example shown in FIG.
  • the user information storage unit 52 according to the second embodiment stores a substrate (glucose, uric acid, oxalic acid, etc.) instead of the antigen shown in FIG.
  • processing is omitted for parts that perform similar processing.
  • the authentication unit 53 performs user authentication processing based on the fingerprint image for authentication received from the measurement device 410 and notifies the measurement device 410 of the authentication result.
  • the receiving unit 54 receives the calorific value measurement result from the measurement device 410 via the communication unit 51.
  • the receiving unit 54 receives a combination of enzyme information for identifying the enzyme and a calorific value measurement result from the measurement device 410.
  • the prediction unit 55 predicts a substrate contained in the user's body based on the measurement result of the calorific value received by the reception unit 54. For example, the prediction unit 55 specifies the type of substrate based on the enzyme information transmitted from the measurement device 410. For example, the prediction unit 55 predicts the amount and concentration of the substrate from the predetermined relationship between the calorific value and the amount of substrate. In this way, the prediction unit 55 predicts the type and amount of a substrate (in this example, a urine substance) contained in the user's body. Then, the prediction unit 55 stores the amount and concentration of the substrate as the prediction result in the user information storage unit 52 in association with the user ID. The prediction unit 55 may predict whether or not a predetermined substrate is included in the user's body more than a predetermined value, and the health state of the user may be determined based on the amount or concentration of the substrate that is a prediction result. It may be predicted.
  • the display control unit 56 performs display control of the prediction result on the display device in various manners as in the example illustrated in FIG.
  • the display control unit 56 controls the display device to display the name of the substrate, the amount of the substrate, the health state of the user, and the time-series prediction results.
  • FIG. 23 shows a display example in the second embodiment.
  • FIG. 23 shows an example in which prediction results of urine sugar (glucose) are displayed in time series on the display device 60c which is a tablet terminal.
  • the display control unit 56 acquires the amount of urine sugar collected in the past 20 days from the user information storage unit 52, and information on the graph indicating the relationship between the acquired amount of urine sugar and the sensing date and time. Is transmitted to the display device 60c. At this time, the display control unit 56 includes a warning message (for example, “abnormal urine sugar expression”) indicating that urine sugar is an abnormal value on the graph.
  • the display device 60c displays the concentration of the urine sugar value from 20 days ago to today in time series. Thereby, the user can look back on the life so far and can improve future lifestyle habits by grasping the urine sugar value and the warning message displayed in time series.
  • the urine sugar level corresponds to the blood glucose level.
  • a person whose blood glucose level is below a normal reference value for example, 109 [mg / dl]
  • a normal reference value for example, 109 [mg / dl]
  • the urine sugar level rises rapidly. Since this rapid increase in urine sugar value is an index of diabetes, a so-called hidden diabetic patient can be found based on the urine sugar value.
  • the prediction unit 55 displays the warning message based on such an index value.
  • the display device 60c may display a message to the user to urinate 2 hours after eating.
  • the prediction unit 55 may enter the body from urine excreted in a time zone assumed to be 2 hours after the meal (for example, 9 am to 10 am, 2 pm to 3 pm, 8 pm to 9 pm). The concentration of urine sugar contained may be predicted.
  • FIG. 23 illustrates an example in which the prediction result is displayed on the tablet terminal.
  • the display control unit 56 includes a home monitor, a mobile terminal device, a wearable information terminal, The prediction result may be displayed on a display device such as a wearable terminal.
  • the display control unit 56 is not limited to the example of FIG. 23, and displays whether or not a predetermined substrate is included in the user's body more than a predetermined value on the display device, or displays the predetermined substrate in the user's body. The amount may be displayed on a display device.
  • the sensor chip 420 may be provided with a suction unit that sucks the sample moving through the channels 424 1 to 424 3 toward the discharge unit.
  • the measurement control unit 430 can quickly move the sample to the discharge unit side by controlling the suction unit. Also, since the sample remaining in the flow path 424 1 to 424 3 by sucking can be removed, or to quickly dry the flow path 424 1 to 424 3, or can is filled with a cleaning liquid or a buffer solution.
  • the smart toilet system 4 may perform a prediction process for predicting the cleaning state of the sensor chip 420. Specifically, after performing the above-described cleaning process, the measurement control unit 430 generates heat generated in each reaction unit based on the temperature measured by the absolute temperature sensor 422 and the temperature measured by the temperature sensors 426 1 to 426 3. Measure. Thereby, the amount of the substrate remaining in the reaction units 425 1 to 425 3 after the cleaning is predicted by the prediction unit 55 of the home server 50. At this time, the predicting unit 55 predicts that the sensor chip 420 is sufficiently washed when the predicted amount of the substrate is equal to or less than the predetermined threshold, and when the amount of the substrate is larger than the predetermined threshold. The sensor chip 420 is predicted to be insufficiently cleaned. In this case, the display control unit 56 may display-control information related to the prediction result of the cleaning state on the display device 60c and the like.
  • the reaction units 425 1 to 425 3 and the like are deteriorated, so that there is a possibility that an error is generated in the calorific values measured in the reaction units 425 1 to 425 3 . Therefore, the measurement control unit 430 generates a calorific value measured by injecting a sample (hereinafter, sometimes referred to as “standard solution”) having a known substrate concentration or substrate content into the sample injection hole 423. Based on this, the calorific value measured by actually injecting urine or the like into the sample injection hole 423 by the user may be corrected. Specifically, since the standard solution has a known substrate concentration and substrate content, the calorific value when the standard solution is injected is also known.
  • standard solution has a known substrate concentration and substrate content
  • the measurement control unit 430 obtains a correction coefficient based on an error between the calorific value measured by injecting the standard solution and the known calorific value corresponding to the standard solution. And the measurement control part 430 correct
  • the sensor chip 420 may be removable from the measuring device 410.
  • the measurement control unit 430 informs the display device that the sensor chip 420 is to be replaced. It may be displayed.
  • the example which estimates the substrate contained in a user's body was shown by measuring the temperature change based on the reaction heat of a substrate and an enzyme.
  • the sensor chip may be provided with a mechanism for measuring information indicating characteristics of the substrate contained in the user's body by a method other than the method of measuring the temperature change based on the reaction heat.
  • the sensor chip may be provided with a mechanism for measuring information related to vibration of the flow path through which the sample flows as information indicating the characteristics of the substrate.
  • this point will be described. Note that the sensor chip 420 shown in FIG.
  • test items such as “urine protein”, “urine sugar”, “urinary occult blood reaction”, and “urine urobilinogen”.
  • test items such as “urine protein”, “urine sugar”, “urinary occult blood reaction”, and “urine urobilinogen”.
  • a sensor chip that can handle not only this type of test item but also a test item such as “urine specific gravity” will be described.
  • FIG. 24 is a diagram illustrating an example of a sensor chip 520 according to a modification of the second embodiment.
  • FIG. 25 is a schematic cross-sectional view taken along the line BB in FIG. In the following, it is assumed that the measurement device 410 illustrated in FIG. 19 includes the sensor chip 520 illustrated in FIG. 24 instead of the sensor chip 420. As shown in FIG.
  • the sensor chip 520 includes a substrate 521, an absolute temperature sensor 522 as a first temperature sensor, a sample injection hole 523, flow paths 524 1 to 524 5 , a reaction unit 525 1 to 525 4 , temperature sensors 526 1 to 526 4 as second temperature sensors, electrodes 527 1 to 527 4 , common electrode 528, discharge unit 529, excitation unit 531, and vibration frequency detection unit 532 and an electrode 533.
  • the substrate 521 is, for example, a semiconductor silicon single crystal substrate, and a cavity 530 is formed at the center. For this reason, in the sensor chip 520, the sensing units 530 1 to 530 5 for sensing a substrate or the like have a crosslinked structure.
  • FIG. 24 illustrates only the sensing units 530 1 and 530 5 .
  • the absolute temperature sensor 522 has the same configuration as the absolute temperature sensor 422 shown in FIG.
  • the sample injection hole 523 has the same configuration as the sample injection hole 423.
  • the flow paths 524 1 to 524 4 have the same configuration as the flow paths 424 1 to 424 3 .
  • the reaction units 525 1 to 525 4 have the same configuration as the reaction units 425 1 to 425 3 .
  • the temperature sensors 526 1 to 526 4 have the same configuration as the temperature sensors 426 1 to 426 3 .
  • the electrodes 527 1 to 527 4 have the same configuration as the electrodes 427 1 to 427 3 . That is, the sensor chip 520, like the sensor chip 420 shown in FIG. 20, it has a reaction unit 525 1 to 525 4 which enzyme is fixed.
  • the sensor chip 520 can be used for tests such as “urine protein”, “urine sugar”, “urine occult blood reaction”, “urine urobilinogen”. Furthermore, the sensor chip 520, to accommodate the inspection such as "urine specific gravity”, a flow path 524 5, an excitation portion 531, and the vibration frequency detecting unit 532, and the electrode 533 are provided.
  • Passage 524 plastic (e.g., polyimide resin) is formed by such, to move the injected into the sample injection hole 523 such as urine toward the discharge portion 529.
  • the channel 524 5 is not provided with a site where the enzyme is immobilized.
  • the flow path 524 5, the excitation portion 531 and the vibration frequency detecting unit 532 is provided. This point will be described with reference to FIG.
  • the excitation unit 531 is formed of a double layer of a silicon (Si) thin film 531a and a silicon oxide film (SiO2) 531b.
  • the silicon thin film 531 a and the silicon oxide film 531 b are stacked on the silicon oxide film 534 formed on the substrate 521. Note that the thickness of the silicon oxide film 531b is extremely thin, and is thinner than the silicon oxide film 534.
  • the vibration frequency detecting unit 532 is, for example, a piezo resistor formed in the vicinity of the bridge structure supporting portion of the silicon thin film 531a in the sensing portion 530 5 is a cross-linked structure.
  • the piezoresistor is easily formed by thermally diffusing boron (B), which is a p-type impurity, into the silicon thin film 531a that is an n-type SOI layer.
  • the silicon oxide film 531b has a very small thermal expansion coefficient. Therefore, heating by flowing a silicon thin film 531a to an alternating current of the sensing unit 530 5 crosslinked structure (Joule heating), the excitation portion 531, causing the bimorph vibration by the bimetal effect by the difference in thermal expansion coefficient, the upper cavity 530 Next, the sensing unit 530 5 is excited. Then, the resistance value of the vibration frequency detecting unit 532 is a piezoresistive changes based on the distortion due to the vibration of the sensing unit 530 5.
  • the change in resistance value of the vibration frequency detecting unit 532 detects the vibration frequency of the sensing unit 530 5.
  • the resonance frequency that matches its repetition cycle the natural frequency of the sensing unit 530 5
  • a sample flowing through the channel 524 5 e.g., urine
  • the measurement control unit 430 controls the alternating current flowing from the electrode 533 to the silicon thin film 531a, thereby measuring the resonance frequency and the shift amount (that is, the phase), and measuring a change in mass such as urine from the measurement result. To do.
  • the measuring device 410 having the sensor chip 520 is in addition to test items such as “urine protein”, “urine sugar”, “urine occult blood reaction”, “urine urobilinogen” for predicting a substrate contained in the user's body, It can also be used in scenes of inspection items such as “urine specific gravity”.
  • thermocouple 526 5 is a second temperature sensor used for temperature measurement of a thermal reaction between a substrate having a crosslinked structure and an enzyme formed in the same manner as other sensing units having a crosslinked structure (FIG. 25). Can be used as a heater for Joule heating.
  • thermocouple 526 5 for example, a silicon thin film 531a of the crosslinked structure, the metal thin film through the thin silicon oxide film 531b is used as a thermoelectric material. Further, by forming the piezoelectric thin film in a cross-linked structure, it can be used as the excitation unit 531.
  • the number of flow paths formed in the sensor chip 520 is not limited to the example shown in FIG.
  • the sensor chip 520 may be formed with three or less channels or five or more channels provided with reaction parts.
  • a discharge portion 529 that is a cavity formed in the substrate 521 is formed.
  • the sample such as urine flowing through the flow paths 524 1 to 524 5 is discharged to the outside of the sensor chip 520 through the discharge unit 529. Even the sensor chip 520 having such a structure can be repeatedly used because it can be washed.
  • the measurement control unit 430 depending on the environmental temperature measured by the absolute temperature sensor 522, the heating value in the reaction unit 525 1 to 525 4, or reaction part 525 1 to 525 4
  • the output voltages of the temperature sensors 526 1 to 526 4 provided in the above may be corrected. That is, the prediction unit 55 of the in-home server 50 includes in the user's body based on values after the measurement results by the temperature sensors 526 1 to 526 4 are corrected according to the environmental temperature measured by the absolute temperature sensor 522. Predict substrate This point will be described with reference to FIG.
  • FIG. 26 is a diagram illustrating an example of the relationship between the environmental temperature and the output voltage. The horizontal axis of FIG. 26 shows the passage of time, and the vertical axis of FIG.
  • a waveform W21 shows an example of the output voltage when the environmental temperature is high
  • a waveform W22 shows an example of the output voltage when the environmental temperature is lower than the waveform W21.
  • the waveforms W21 and W22 are assumed to have the same conditions (for example, a sample) other than the environmental temperature. As shown in FIG. 26, the lower the environmental temperature, the later the peak time of the output voltage and the lower the peak value.
  • the measurement control unit 430 measures the amount of heat generated in each reaction unit based on the peak value of the output voltage from the temperature sensors 526 1 to 526 4 or the integrated value of the waveform of the output voltage.
  • the measurement control unit 430 corrects the peak value of the output voltage or the integrated value of the waveform of the output voltage according to the relationship illustrated in FIG. 26 and the environmental temperature measured by the absolute temperature sensor 522. May be. That is, the measurement control unit 430 may correct the amount of heat generated in the reaction units 525 1 to 525 4 according to the environmental temperature. Thereby, the prediction unit 55 of the home server 50 can predict the amount and concentration of the substrate contained in the user's body with high accuracy.
  • the discharge unit 529 of the sensor chip 520 shown in FIG. also good. In this case, when cleaning the sensor chip 520, the measurement control unit 430 can quickly move the sample to the discharge unit 529 side by controlling the suction unit.
  • FIG. 27 is a diagram for explaining a handy-type sensor according to the second embodiment.
  • the handy-type calorimetric sensor 500 shown in FIG. 27 is provided with a sample injection hole 501, and the above-described sensor chip 420 (or sensor chip 520) and measurement control unit 430 are mounted inside.
  • the calorimetric sensor 500 may be equipped with a communication unit 411 that can communicate with the home server 50 and the PHR processing device 20.
  • the calorimetric sensor 500 may be provided with a drain outlet corresponding to the drainage section.
  • the measurement control unit 430 mounted on the calorimetric sensor 500 may perform the process of predicting the type, amount, and concentration of the substrate in the same manner as the prediction unit 55, and may include other than the home server 50, the PHR processing device 20, and the like. The prediction result predicted by the server device may be received.
  • the calorimetric sensor 500 can detect multiple items of substrates and the like, similar to the measurement device 410 described above.
  • the calorimetric sensor 500 can be used for urinalysis, blood tests, and the like.
  • Such a calorimetric sensor 500 can be used not only for group medical examinations such as medical examinations and examinations at medical institutions, but also as a portable inspection machine at home.
  • the smart toilet system 4 has been described as an example.
  • the second embodiment described above can also be applied to a smart brush system or a smart sync system.
  • a measuring device 410 is employed instead of the measuring device 103 shown in FIG. That is, cleaning water that has cleaned a cleaning instrument (such as a toothbrush) that cleans the user is injected into the sample injection hole 423 of the sensor chip 420.
  • a measuring device 410 is employed instead of the measuring device 203 shown in FIG. That is, a substance discharged from the user (eg, water after gargle) and cleaning water (eg, water used when washing the face) discharged from the user are injected into the sample injection hole 423 of the sensor chip 420.
  • the reaction unit 425 1 to 425 3 enzymatic as a reactant that reacts with the body of the biological material.
  • a specific antibody or antigen may be immobilized on the reaction units 425 1 to 425 3 instead of an enzyme.
  • the home server 50 may predict an enzyme, an antigen, or an antibody contained in the body based on the measurement result of the calorific value by the measurement device 410.
  • the in-vivo substance injected into the sample injection hole 423 is not limited to the urine described above, but may be saliva, blood, sweat, washing water that cleans the human body, and the like.
  • FIG. 28 is a diagram illustrating an example of a urine sugar test using a redox current.
  • the amount of glucose is detected by measuring the oxidation-reduction current of hydrogen peroxide generated when glucose is oxidized by glucose oxidase, which is an oxidase. To do.
  • the interfering substances such as uric acid and ascorbic acid contained in urine and gluconic acid generated during oxidation also affect the redox current, it cannot be said that the detection accuracy is high.
  • the sensor structure is complicated and the manufacturing cost is increased.
  • the sensor chip 420 according to the second embodiment measures a temperature change using a thermal reaction due to a catalytic reaction of an enzyme or a coenzyme, but the measurement of the temperature change is not affected by an interfering substance. For this reason, in the sensor chip 420 according to the second embodiment, the structure of the sensor does not become complicated, and the manufacturing cost does not increase.
  • the injected in-vivo substance is discharged to the discharge part, so that it can be washed and used repeatedly.
  • the internal substance is catalyzed in each reaction part to which a different enzyme is immobilized, so that multiple items of biological substances can be detected in one process. .
  • this daily human dock can be realized by using the sensor chip 420 that can be washed, can be repeatedly used, and can detect many items. .
  • the toothbrush washing machine the toilet (toilet bowl), the sink (toilet) etc. were mentioned as an example as an example of a toilet bowl
  • a toilet bowl is not restricted to these examples.
  • the fixture may be a cup from which the user discharges urine or the like.
  • emitted from a fixture with the sensor provided in the fixture was shown.
  • the magnetic field sensor 110 provided in the cleaning machine 101 uses a mixture of waste material, antibodies, and magnetic beads from the cleaning machine 101 as information indicating the characteristics of the biological material of the user.
  • An example of measuring the magnetic field generated from the is shown.
  • prescribed substrate as information which shows the characteristic of a user's biological substance with the sensor chip 420 provided in the toilet bowl 401 is provided. An example of measuring change was given.
  • each of the above-described embodiments may measure information indicating characteristics of a biological material from various types of sensors from a user's internal material taken out of the furniture or collected from the furniture.
  • urine discharged by a user or doctor in a cup which is a fixture, in a hospital, a mass examination, or at home, for example, the first flow path 104 of the measuring device 103 or the sample injection hole 423 of the sensor chip 420. May be injected.
  • FIG. 29 is a diagram illustrating a hardware configuration of the home server 50 according to the embodiment.
  • Home server 50 includes CPU 1100, ROM 1200, RAM 1300, display unit 1400, and input unit 1500.
  • a CPU 1100, a ROM 1200, a RAM 1300, a display unit 1400, and an input unit 1500 are connected via a bus line 1010.
  • a program that realizes various processes by the home server 50 is stored in the ROM 1200 and loaded into the RAM 1300 via the bus line 1010.
  • the CPU 1100 executes a program loaded in the RAM 1300.
  • the CPU 1100 reads out a program from the ROM 1200 in accordance with an instruction input from the input unit 1500 by the operator, expands it in a program storage area in the RAM 1300, and executes various processes.
  • the CPU 1100 temporarily stores various data generated during the various processes in a data storage area formed in the RAM 1300.
  • the program executed in the home server 50 has a module configuration including an authentication unit 53, a reception unit 54, a prediction unit 55, a display control unit 56, and a transmission unit 57, and these are loaded on the main storage device. Are generated on the main memory.
  • the configuration in which the PHR processing device 20 is built on the cloud has been described, but the embodiment is not limited to this.
  • the PHR processing device 20 can also build all or part of its functions on, for example, a network within a data trust company. Further, the PHR processing device 20 does not necessarily have to be constructed at one base.
  • the PHR processing device 20 may be realized by cooperation of functions distributed and arranged at a plurality of bases.
  • the PHR processing device 20 may include a prediction unit 55 and may be a management device that manages various types of information regarding each user in the home by performing the above-described prediction processing.
  • the measurement devices 103, 203, 303, and 410 may include the prediction unit 55 and perform the above-described prediction processing.
  • the embodiment is not limited to the above-described embodiment.
  • the embodiments described above can be combined as appropriate within a range that does not contradict the processing contents.

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  • Medical Informatics (AREA)
  • Food Science & Technology (AREA)
  • Biotechnology (AREA)
  • Cell Biology (AREA)
  • Primary Health Care (AREA)
  • Microbiology (AREA)
  • Epidemiology (AREA)
  • General Business, Economics & Management (AREA)
  • Business, Economics & Management (AREA)
  • Public Health (AREA)
  • Medicinal Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
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Abstract

Un système de gestion d'un être vivant d'après un mode de réalisation comprend une unité d'entrée (104, 423), une unité de mesure (130, 430), une unité de prédiction (55) et des unités d'affichage (56, 60). L'unité d'entrée (104, 423) prélève des substances corporelles d'un utilisateur qui sont obtenues à partir d'appareils installés dans les toilettes ou les sanitaires et utilisés par l'utilisateur. À l'aide de capteurs disposés sur les appareils, l'unité de mesure (130, 430) mesure des informations qui indiquent les caractéristiques d'une matière biologique à partir des substances corporelles prélevées par l'unité d'entrée (104, 423). L'unité de prédiction (55) prédit la matière biologique dans le corps de l'utilisateur sur la base des informations mesurées par l'unité de mesure (130, 430). Puis l'unité (55) détermine l'état de santé de l'utilisateur à partir de la matière biologique prédite. Les unités d'affichage (56, 60) affichent un conseil à l'attention de l'utilisateur sur la base de l'état de santé déterminé.
PCT/JP2015/053860 2015-02-12 2015-02-12 Système et procédé de gestion d'un être vivant Ceased WO2016129087A1 (fr)

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JP2016574584A JP6516229B2 (ja) 2015-02-12 2015-02-12 生体管理システム及び生体管理方法

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