WO2016129087A1

WO2016129087A1 - Living body management system and living body management method

Info

Publication number: WO2016129087A1
Application number: PCT/JP2015/053860
Authority: WO
Inventors: 秀文伊達; 信薮上; 木村　光照
Original assignee: 学校法人東北学院
Priority date: 2015-02-12
Filing date: 2015-02-12
Publication date: 2016-08-18
Also published as: JP6516229B2; JPWO2016129087A1

Abstract

A living body management system according to an embodiment comprises an intake unit (104, 423), a measuring unit (130, 430), a predict unit (55), and display units (56, 60). The intake unit (104, 423) takes in a user's bodily substances which are acquired from fixtures which are installed in lavatories or washrooms and which the user uses. The measuring unit (130, 430) measures, with sensors disposed upon the fixtures, from the bodily substances which are taken in by the intake unit (104, 423), information which indicates characteristics of biological matter. On the basis of the information which is measured by the measuring unit (130, 430), the predict unit (55) predicts the biological matter within the user's body, and determines the state of the user's health from the predicted biological matter. On the basis of the determined state of health, the display units (56, 60) display advice for the user.

Description

Biological management system and biological management method

Embodiments described herein relate generally to a biological management system and a biological management method.

In the past, various efforts have been made in the world to realize preemptive medicine and prevention of individualization. Here, 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. Say. Moreover, individualization prevention means prevention of the disease suitable for each individual.

In order to accurately and objectively evaluate the health condition and discriminate the non-disease state before the onset of the disease, it is desirable to accurately detect biological substances related to bacteria in the body, biological substances and the like. However, at present, there are only known efforts to collect personal life logs and feed them back to the person, and it is difficult to accurately detect biological substances.

JP 2001-327472 A JP 2006-320735 A JP 2005-091156 A Japanese Patent Laid-Open No. 2007-240289 JP 2006-226850 A

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 according to the embodiment 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.

Moreover, the biological management system according to the embodiment includes a reception unit, a measurement unit, and a prediction unit. The said reception part receives the waste_water | drain substance containing the said user's body substance taken out from the fixture used by a user. 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.

In addition, the biological management system according to the embodiment 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.

There is an effect that a biological substance can be detected with high accuracy.

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. 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. 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.

Hereinafter, a biological management system and a biological management method according to the embodiment will be described with reference to the drawings. In the following embodiment, an example will be described in which 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.

(Example of embodiment)
Today, it is ideal for everyone to live a healthy life in the family and the community, and to live in work and hobbies. In today's aging society, people are threatened and eroded. In such a situation, it is ideal for everyone to live healthy and lively in work and hobbies in the family and society. One of the means for realizing this is the “daily human dock”. This “Daily Ningen Dock” creates an ideal lifestyle based on innovative PHR (Personal Health Record) big data including biometric information collected by Unconscious Sensing technology. The sensing data includes, for example, heart rate, stress, blood pressure, hormone, blood concentration, drug dose, and the like. In addition, 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. Examples of 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. Etc.

In the embodiment described below, the daily human dock that casually feeds back the health condition to the user in daily life by collecting biological materials through the furniture that the user uses everyday while the user is living. As a result, the anxiety about the future illness is solved. In addition, a toilet here is a toilet bowl installed in a washroom (sink), a toilet installed in a toilet, etc., for example. Moreover, 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. Here, it is assumed that users such as a grandfather, father, mother, eldest daughter, and eldest son live in the house and a grandmother lives in another house. In the embodiment shown in FIG. 1, in the bathroom 31 and

toilets

32 and 33 in the user's 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. In the following embodiments, for example, from the washing water that has washed the toothbrush (or the interdental brush for cleaning the teeth or the tongue brush for cleaning the tongue) used by the user in the washroom 31 into the body. Predict the biological material involved. In addition, for example, when the user uses the

toilet

32 or 33, the biological material contained in the body is predicted from the washing water in which the anus or the like is washed.

In the embodiment, health information based on the collected biological material is fed back to the user. For example, for mothers using the bathroom 31, health information (information such as “there is a possibility of tooth decay”) is displayed on the mirror of the bathroom 31. Further, for example, health information (information such as “health”) is displayed on the mobile terminal device for the father who owns the mobile terminal device. Further, for example, for the eldest daughter who owns the wearable information terminal, health information (information such as “there is a risk of influenza”) is displayed on the wearable information terminal. In addition, for example, 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. 1, 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. For example, 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).

Here, “health news” displayed on the monitor shown in FIG. 1 will be described. For example, it is assumed that the grandfather enters the toilet 32 in the morning and the urine test is performed. As a result, it is assumed that the living body management system detects that the grandfather's urine sugar value gradually increases from the history of daily examinations. That is, it is assumed that the living body management system detects that it is not transient due to drinking or eating too much alcohol on the previous day. In this case, 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. At this time, 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. In the test for fasting urine sugar, when the blood glucose level is within the normal range (within about 110 [mg / dl]), there is a property that sugar is not easily produced in the urine. It is said that when it exceeds a threshold value (blood glucose level of about 180 [mg / dl]), it is excreted in urine, and the urinary sugar value increases rapidly, for example, 2000 [mg / dl]. That is, the time when urine sugar starts to be detected from the user's body is important from the viewpoint of the risk of developing a disease (for example, diabetes).

In the example of FIG. 1, a grandmother who lives far away goes to the toilet, and as a result of examination of stool and urine, pathogens (bacteria, viruses, etc.) in biological materials are not found. When the sugar value, the lactic acid value, or the like is higher than a predetermined value, the biological management system displays an advice “Go to the hospital”. At this time, when a virus that is a pathogen such as Norovirus or O-157 is detected, the biological management system may display strong instructional advice such as “Please go to the hospital immediately!”.

Further, in the example of FIG. 1, the mother brushes his teeth brush and a specific fungus (for example, a caries fungus such as mutans or Lactobacillus) has a predetermined value (for example, 1 × 10 ⁶ / ml), the biological management system displays advice such as “Please go to the hospital!” on the monitor.

In addition, in the example of FIG. 1, when a small amount of influenza virus is detected from the waste discharged from the eldest daughter (water rinsed after mouth brushing, water discharged during gargle, sputum, etc.), or urine in the toilet Even if a minute amount of influenza virus is detected from the result of the test, the biological management system has a high risk of transmission even if it is a very small amount close to the detection limit. For example, “Be sure to go to the hospital! ”Is displayed on the monitor. Note that the eldest daughter shown in FIG. 1 is inspected by injecting scissors or the like into a handy type measurement measurement held by the right hand.

In the example of FIG. 1, 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. However, the detection amount of pathogenic bacteria in the toilet 33 at home is a threshold value. In the following cases, the living body management system displays an advice such as “Good school from tomorrow!” On the monitor.

As described above, the biological management system according to the embodiment 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. For example, enterohemorrhagic Escherichia coli infectious disease O-157 is known as a representative disease that is suspended from school (so-called infectious disease). However, 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.

Also, 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. In other words, 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. In this form, 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. Further, in the biological management system, when the user requests a more detailed 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.

Thus, in the embodiment, in daily life in which actions such as tooth brushing, urination and defecation are performed, 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.

The biological substance prediction process as described above is realized by a biological management system built in the house. This point will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of a biological management system according to the embodiment. As the living body 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 magnetic method will be described. For example, 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) are predicted as biological substances contained in the body. In addition, for example, 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. In addition, for example, 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. In this case, the in-home server 50 transmits information related to the predicted biological material of each user to various display devices 60. Thereby, 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.

Explaining the thermal method, for example, 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. Similarly, the smart sink system 2 measures the amount of heat generated during the catalytic reaction between water and the enzyme after gargle. Further, 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.

In addition, 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. Further, 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. In addition, 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. Note that the sensing data transmitted from the user is also useful for detecting abnormalities in the user's body. For example, 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.

2 shows an example in which 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. In this case, 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.

Hereinafter, in the first embodiment, processing by a magnetic method will be described, and in the second embodiment, processing by a thermal method will be described.

(First embodiment)
[Smart brush system]
First, the smart brush system 1 shown in FIG. 2 will be described as an example. Here, an example will be shown in which the body water of the user is contained in the wash water for washing the toothbrush and the like, and oral bacteria (an example of an antigen) contained in the body substance are detected from the wash water by a magnetic technique. FIG. 3 is a diagram illustrating an example of the smart brush system 1 according to the first embodiment. As shown in FIG. 3, the smart brush system 1 includes a washing machine 101, a concentrating device 102, and a measuring device 103. In FIG. 3, an example in which 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. For example, 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. For example, 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. Here, since the internal substance obtained from a user may adhere to a toothbrush, the internal water substance adhering to a toothbrush may be contained in the wash water after washing | cleaning. That is, the washing machine 101 drains the washing water that may contain the in-vivo substance to the concentration device 102.

Also, 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. In addition, 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. And the measuring apparatus 103 transmits the measurement result of a magnetic field to the home server 50 via the communication part 103a.

Here, the internal configuration of the measuring apparatus 103 is shown in a broken-line rectangle in FIG. As shown in the figure, 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.

In the first flow path 104, the wash water containing the body substance drained from the concentrator 102 flows. In the case of the example in FIG. 3, it is assumed that the wash water flows through the first flow path 104 from the left side where the concentrating device 102 is located toward the right side where the second flow paths 105 ₁ to 105 _n are located. In the first flow path 104, 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.

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.

Although the second flow path 105 ₁ is described as an example, the mixing unit 106, also provided in the second flow path ₁₀₅ 2 ~ 105 _n. And the mixing part 106 provided for every 2nd flow path accumulate | stores the magnetic beads to which each different antibody was couple | bonded. That is, the mixing unit 106 mixes different antibodies for each second flow path with the washing water flowing in the second flow path. Thereby, in the second flow paths 105 ₁ to 105 _n , only 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. By way of example, 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. In this case, only the second flow path 105 _1, antigen B1 binds to the magnetic beads via an antibody A1, only the second flow path 105 _2, antigens B2 are bound to magnetic beads via an antibody A2, the only 2 of the flow path 105 _3, the antigen B3 binds to the magnetic beads via an antibody A3. Thus, in the measuring apparatus 103, a different antigen binds to the magnetic bead via the antibody for each second channel. In the following, 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. Specifically, 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. For example, 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. Further, for example, 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. This has been described as an example ₁ second flow path 105, the DC magnetic field generator 107, also provided to the second flow path ₁₀₅ 2 ~ 105 _n. When magnetic beads that have been magnetized by the mixing unit 106 are injected, the measuring apparatus 103 does not have to include the DC magnetic field generation unit 107.

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. Specifically, 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. For example, 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.

Here, the magnetic field generated from the cleaning water (actually magnetic beads) varies in accordance with the AC magnetic field generated from the AC magnetic field generator 108. This point will be described. Figure 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. Although not shown here, when 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. That is, if the frequency of the AC magnetic field generated from the AC magnetic field generator 108 is low, the bonded beads having a relatively higher mass than the unbound beads resonate with the AC magnetic field and generate a larger magnetic field. On the other hand, 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.

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.

Then, when the authentication result notified from the in-home server 50 indicates failure, 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.

On the other hand, when the authentication result indicates success, 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. To cause the processing circuit 120 to perform magnetic field measurement processing. As described above, 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. For example, 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. For example, 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.

Depending on the antigen and antibody, the antigen-antibody reaction takes a predetermined time (for example, about 30 to 60 minutes). Therefore, valves that can be opened and closed may be provided in the second flow paths 105 ₁ to 105 _{n shown} in FIG. For example, 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. Then, 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. .

[Magnetic field sensor]
Next, the magnetic field sensor 110 shown in FIG. 3 will be described. 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.

4 and 5, 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 . Have

The substrate 111 is formed of glass such as potash glass or soda lime glass, for example. Of the substrate 111, 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]. However, 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 [μm]. The resist film is peeled off after the CoNbZr thin film 112 is formed, whereby a magnetic film pattern is obtained. Further, 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 [μm] 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 [μm] 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 [μm]. 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].

Magnetic field sensor 110 described above, in the example shown in FIG. 3, (in practice, the magnetic field in generated from bound beads and unbound beads) field in generated from a mixture flowing through the second flow channel 105 _1, the magnetic as CoNbZr film 112 is a magnetic material having an impedance effect is located, it is provided in the vicinity of the second channel 105 _1. Furthermore, Cu thin film 114 ₂ of the magnetic field sensor 110, for example, (in the case examples, coplanar line) transmission lines for transmitting signals becomes. Therefore, if the magnetic field coupling beads or unbound beads flowing through the second flow path 105 ₁ occurs, the permeability of the magnetic film magnetic anisotropy is imparted in the lateral direction (CoNbZr film 112) changes . Since the impedance and skin effect of the coplanar line change according to the change in the magnetic permeability of the magnetic film, the phase and amplitude of the current (carrier) flowing through the coplanar line vary. 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.

4 and 5 show a linear coplanar line, the coplanar line is not limited to a linear shape. This point will be described with reference to FIG. FIG. 6 is a top view showing another magnetic field sensor according to the first embodiment. In each of the

magnetic field sensors

110a, 110b, 110c, 110d, 110e, and 110f illustrated in FIG. 6,

coplanar lines

114a, 114b, 114c, 114d, 114e, and 114f are formed. Thus, the coplanar line is not limited to a linear shape, but may be a meander shape (zigzag shape). Further, 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. Thus, it is good also as a structure which pinches | interposes a transmission line with a magnetic thin film, and can implement | achieve a highly sensitive magnetic field sensor by this.

In the measurement apparatus 103 according to the first embodiment, 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. However, 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.

In the above example, the coplanar line is formed in the magnetic field sensor 110. However, the present invention is not limited to this example. For example, the magnetic field sensor 110 may be formed with a microstrip line or a triplate line.

In the above example, the magnetic film (CoNbZr thin film 112), the dielectric film (SrTiO thin film 113), and the transmission lines (Cu thin films 114 ₁ to 114 ₃ ) are stacked on the substrate 111. However, the present invention is not limited to this example, and the magnetic film may be provided on the transmission line without being formed on the substrate. This point will be described with reference to FIG. FIG. 7 is a diagram illustrating another example of the magnetic field sensor according to the first embodiment. As shown in FIG. 7, 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. In the magnetic field sensor 110g, the magnetic thin film 118 is placed on the microstrip line. As the magnetic thin film 118, for example, 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.

In the example of FIG. 7, when a magnetic field is applied to the magnetic field sensor 110g from the outside, the permeability of the magnetic thin film 118 changes, thereby changing the impedance of the transmission line (microstrip line). For this reason, the phase and amplitude of the current flowing through the transmission line vary due to the influence of the external magnetic field. In the first embodiment, a magnetic field sensor 110g illustrated in FIG. 7 may be used.

Although 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.

[Processing circuit]
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. This point will be described with reference to FIG. 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. In the processing circuit 120, 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.} For example, 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. Here, as described above, 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.

Also, the first repetitive signal distributed to the phase shifter 122 is attenuated and phase shifted by the phase shifter 122. Here, since 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. Similarly, 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. As described above, 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.

As described above, according to 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.

[Home server]
Next, the home server 50 will be described. 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. For example, 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. For example, the user information storage unit 52 stores information on a family located in the house or a family living in another house. Here, FIG. 10 shows an example of the user information storage unit 52 according to the first embodiment. As shown in FIG. 10, 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. Although FIG. 10 shows “Porphynomonas gingivalis” and “Prevotella Intel Media” known as anaerobic bacteria that cause periodontal disease, the present invention is not limited thereto. For example, as the anaerobic bacteria that cause periodontal disease, 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”).

That is, in FIG. 10, “M11” “Porphynomonas gingivalis” is included in the body of the grandfather using the smart brush system 1 at 7:00 on December 1, 2014, and “Prevoterra Intel Media” is “N11”. An example predicted to be included is shown. Here, an example in which the amount of the antigen is stored in the user information storage unit 52 is shown, but the concentration of the antigen (number / ml) may be stored.

The authentication unit 53 performs user authentication processing based on the fingerprint image for authentication received from the measurement apparatus 103. For example, although not shown in FIG. 10, the user information storage unit 52 stores a fingerprint image registered in advance by each user. In this case, the authentication unit 53 performs authentication processing by comparing the fingerprint image for authentication with the registered fingerprint image. Then, the authentication unit 53 notifies the measurement device 103 of the authentication result via the communication unit 51. As described above, if the authentication is successful, 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. For example, 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. In this way, 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. In addition, it can be said that 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.

Note that the present invention is not limited to the above example, and 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. For example, 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. Here, 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. In FIG. 11, the display device 60a is assumed to have a wireless communication function.

As shown in FIG. 11, when the prediction unit 55 predicts that a causative causative bacterium is included in the user's body, 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.

Also, for example, when the amount of carious causative bacteria is predicted by the predicting unit 55, the display control unit 56 may display and control information on the amount of carious causative bacteria on the display device 60a. In this case, the display device 60a displays a message related to the amount of caries-causing bacteria (for example, “20 caries were found”). Further, for example, when the prediction unit 55 predicts the user's health state, the display control unit 56 may display and control a message related to the health state on the display device 60a. In the example of FIG. 11, 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”).

Further, 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. 11, 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.

Although not shown in FIG. 11, 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. This point will be described with an example. For example, it is assumed that 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. In this case, for example, when the amount of an antigen or the like as a prediction result exceeds a threshold, the prediction unit 55 determines that the health state corresponding to the threshold in the health state table is the user's state. And 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. In the health condition table, a plurality of threshold values may be stored for the same antigen. For example, in 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 Information that associates the threshold “T ₂ [pieces / dl]” with the health condition “May cause tooth decay” and the advice “Let's brush your teeth three times a day” with the threshold “T ₃ [pieces] for antigen A / Dl] ”, information relating to the health condition“ high possibility of tooth decay ”and the advice“ Be sure to go to the dentist! ”. Here, it is assumed that “T ₁ <T ₂ <T ₃ ”. In this case, 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. Also, 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. In addition, although the tooth decay was described here as an example, 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. . Thereafter, 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. In this example, 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".

Further, for example, 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. In this case, the display control unit 56 may display advice from the doctor on the display device.

In FIG. 11, the mirror is described as the display device 60a having a display function, but the present invention is not limited to this example. This point will be described with reference to FIG. 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. For example, 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.

11 and 12 show examples in which various messages are displayed on the mirror of the washstand. As in the example shown in FIG. 2, 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.

In the above example, the home server 50 transmits various messages to the display device 60a. However, the home server 50 may transmit various messages to the measurement device 103. In this case, 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. For example, it is assumed that 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. In this case, the measuring apparatus 103 displays various messages on the display device 60a. Thereby, 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. For example, 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. For example, 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. In this way, 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. .

[Processing procedure]
Next, a processing procedure by the smart brush system 1 according to the first embodiment will be described. FIG. 13 is a sequence diagram illustrating a processing procedure performed by the smart brush system 1 according to the first embodiment.

As shown in FIG. 13, 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.

Subsequently, 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 | occur | produces from washing water, after applying an alternating current magnetic field to washing water (step S104). Then, the measuring apparatus 103 transmits the magnetic field measurement result to the home server 50 (step S106).

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). In the example of FIG. 13, since the cleaning machine 101 such as a toothbrush is taken as an example, the in-home server 50 predicts oral bacteria contained in the body. Then, 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).

[Modification (cleaning treatment)]
The cleaning machine 101 described above may be used by a plurality of users. In this case, when 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 user presses the washing button 101b in a state where only water is put in the container of the washing machine 101 without putting a toothbrush or the like. In this case, the cleaning button 101b notifies the measurement control unit 130 to perform the cleaning process.

When 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. As a result, 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. As a result, in the smart brush system 1 according to the first embodiment, even when the washing machine 101 is used by a plurality of users, antigens contained in the user's body can be predicted with high accuracy.

In the example illustrated in FIG. 14, the smart brush system 1 may perform a prediction process for predicting the cleaning state of the cleaning machine 101. Specifically, 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. To cause the processing circuit 120 to perform magnetic field measurement processing. As a result, 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. At this time, 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. 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 60a.

For example, it is assumed that the prediction unit 55 predicts that the cleaning is insufficient. In this case, as shown on the left side of FIG. 14, 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”). As described above, by predicting the cleaning state of the measuring apparatus 103, 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.

[Modification (Predicted timing)]
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. Here, even for the same antigen, 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. In the example shown in FIG. 15, it is assumed that the cleaning machine 101 is used by the user at 7:00. In this case, 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. Then, 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. Furthermore, 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.

[Modification (Prediction process)]
In addition, 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. In this case, 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. By comparing, a prediction result can be obtained with high accuracy and speed. Specifically, when the difference between the magnetic field for comparison and the magnetic field corresponding to the second flow path to be predicted becomes equal to or greater than a predetermined value, the prediction unit 55 determines that the body contains an antigen. Predict. Thus, 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.

[Modification (Other systems)]
Moreover, in 1st Embodiment mentioned above, the smart brush system 1 containing the washing machine 101 was mentioned as an example, and was demonstrated. However, the first embodiment described above can also be applied to the smart sink system 2 and the smart toilet system 3.

FIG. 16 is a diagram illustrating an example of the smart sync system 2 according to the first embodiment. As shown in FIG. 16, 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. For example, 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. In addition, 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. In this case, 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. Further, the authentication unit 201a provided in the sink 201 performs the same processing as the authentication unit 101a illustrated in FIG. Here, description of processing by the concentrating device 202, the measuring device 203, and the authentication unit 201a is omitted.

According to such a smart sync system 2, in daily life in which “gargle”, “toothpaste”, “hand washing”, “face washing” are performed, bacteria in the oral cavity and bacteria attached to the hands and face are detected. can do.

In addition, it is known that many bacteria in the oral cavity are contained in the oral cavity of the user immediately after getting up. Therefore, in the smart sink system 2, as shown in FIG. 16, a message such as “please gargle before brushing teeth” may be displayed on the mirror of the washstand. Accordingly, the user can be prompted to discharge the gargle immediately after getting up to the sink 201, so that bacteria in the oral cavity can be detected efficiently.

FIG. 17 is a diagram illustrating an example of the smart toilet system 3 according to the first embodiment. As shown in FIG. 17, 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. In the smart toilet system 3, 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.

[Modification (Target for prediction)]
In the first embodiment, an example is shown in which an antibody is injected into washing water or the like as a reactive substance that reacts with a biological substance in the body. However, the measuring

devices

103, 203, and 303 described above may inject an antigen as a reactive substance instead of an antibody. Then, 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.

〔effect〕
According to the first embodiment, since 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.

(Second Embodiment)
[Smart toilet system]
In the second embodiment, processing of a thermal technique by the living body management system will be described. First, the process of the thermal method will be described using a smart toilet system as an example of the biological management system. FIG. 18 is a diagram illustrating an example of the smart toilet system 4 according to the second embodiment. As shown in FIG. 18, 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. For example, 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. Thereby, the urine discharged | emitted from the user enters into the saucer of the arm 410a. Then, the urine received by the tray flows into the measuring device 410 through 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 | stores each individual's biometric information. Further, the display device 60 displays the prediction result received from the home server 50.

〔measuring device〕
Next, the measuring apparatus 410 shown in FIG. 18 will be described. FIG. 19 is a diagram illustrating an example of the measurement apparatus 410 according to the second embodiment. As illustrated in FIG. 19, 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. For example, 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. For example, 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.

On the other hand, when the authentication result indicates failure, 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.

In addition, the measurement control unit 430 performs processing for cleaning the sensor chip 420. For example, 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 | emitted from the water discharge part 403 flows in into the sensor chip 420 via the arm 410a. As a result, the sensor chip 420 is washed with water from the water discharge unit 403.

[Sensor chip]
Next, the sensor chip 420 shown in FIG. 19 will be described. 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.

As described above, in the sensor chip 420 according to the second embodiment, since the sample injected into the sample injection hole 423 is discharged from the flow paths 424 ₁ to 424 ₃ to the discharge portion, it can be easily cleaned. Specifically, 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. In the reaction units 425 ₁ to 425 ₃ , a sample holder into which urine moving through the channels 424 ₁ to 424 ₃ enters is formed. In addition, 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 . For example, 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. In addition, 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. For example, as shown in FIG. 21, it is known that the substrate “glucose” and the enzyme “glucose oxidase” undergo a catalytic reaction. As 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. When the sensor chip 420 does not need to be cleaned, for example, 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.]). By providing the heating unit, 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.

Here, 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 . By way of example, to the reaction unit 425 _1, 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. In this case, only the reaction part 425 _1, a substrate SU1 enzymes E1 and catalyze the reaction, only the reaction part 425 _2, a substrate SU2 enzyme E2 and catalyze the reaction, only the reaction part 425 _3, substrate SU3 to enzyme E3 and catalysis . Thus, in the sensor chip 420, 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. For example, 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.

Note that the number of flow paths formed in the sensor chip 420 is not limited to the example shown in FIG. For example, one or two flow paths may be formed in the sensor chip 420, or four or more flow paths may be formed. The more channels are formed in the sensor chip 420, the more various substrates can be detected.

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. As described above, 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.

Here, an example of processing by the measurement control unit 430 will be described with reference to FIG. The horizontal axis of FIG. 22 shows the passage of time, and the vertical axis of FIG. 22 shows the output voltage from the temperature sensors 426 ₁ to 426 ₃ . A waveform W11 shows an example of an output voltage when the substrate concentration in the urine sample is high, and a waveform W12 shows an example of an output voltage when the substrate concentration is lower than the sample corresponding to the waveform W11. As shown in FIG. 22, the higher the substrate concentration, the higher the output voltage from the temperature sensor, and the lower the substrate concentration, the lower the output voltage from the temperature sensor. 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.

An example of the amount of heat generated by the catalytic reaction will be described. Here, the substrate “glucose” and the enzyme “glucose oxidase” will be described as examples. Further, 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]. The glucose concentration Ns is 100 [mg / dl] = 1 [g / l] = 1/180 [mol]. In this case, the amount of glucose Nm in the urine volume V0 undergoing catalytic reaction is V0 · Ns = 5.5 × 10 ⁻¹⁰ [mol]. Since the molar mass of glucose is 180 [g / mol] and the calorific value H = 80 [kJ / mol], the calorific value P due to the catalytic reaction is H · Nm = 44 × 10 ⁻⁶ [J]. It becomes. That is, when the measurement control unit 430 detects a temperature increase of 0.44 [° C.], the measurement control unit 430 obtains 44 × 10 ⁻⁶ [J] as the heat generation amount.

[Home server]
Next, 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. However, 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. In the following, processing is omitted for parts that perform similar processing.

The authentication unit 53 according to the second embodiment 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. In addition, the receiving unit 54 receives the calorific value measurement result from the measurement device 410 via the communication unit 51. For example, 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. For example, 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.

In the example of FIG. 23, 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. In this case, as shown in FIG. 23, 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.

In general, it is known that the urine sugar level corresponds to the blood glucose level. For example, a person whose blood glucose level is below a normal reference value (for example, 109 [mg / dl]) is about 10 [mg / dl] urine sugar, but when the blood glucose level exceeds the normal reference value, It is said that 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.

In general, it is said that the urine sugar test is suitable 2 hours after meals. For this reason, the display device 60c may display a message to the user to urinate 2 hours after eating. Alternatively, 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. However, as in the example illustrated in FIG. 2, 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. Further, 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.

[Modification (cleaning treatment)]
In 2nd Embodiment mentioned above, the example which wash | cleans the sensor chip 420 by the water discharge part 403 was shown. Here, 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. In this case, when cleaning the sensor chip 420, 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.

[Modification (Correction)]
In the second embodiment, 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. Therefore, 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 | amends the emitted-heat amount measured when urine etc. are actually inject | poured by a user with a correction coefficient. Thereby, the measurement control unit 430 can accurately measure the calorific value corresponding to the substrate concentration.

As described above, the sensor chip 420 may be removable from the measuring device 410. Here, when the difference between the calorific value measured by injecting the standard solution and the known calorific value is larger than a predetermined value, the measurement control unit 430 informs the display device that the sensor chip 420 is to be replaced. It may be displayed.

[Modification (sensor chip)]
Moreover, in the said 2nd Embodiment, 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. However, 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. For example, 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. Hereinafter, this point will be described. Note that the sensor chip 420 shown in FIG. 20 can cope with test items such as “urine protein”, “urine sugar”, “urinary occult blood reaction”, and “urine urobilinogen”. In the second embodiment, an example of 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. 24, the sensor chip 520 according to the modification 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. Thereby, 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 _5, 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. Unlike the channels 524 ₁ to 524 ₄ , the channel 524 ₅ is not provided with a site where the enzyme is immobilized. Alternatively, 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. As shown in FIG. 25, 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.

Although the above-described silicon thin film 531a has a large thermal expansion coefficient, 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.

Measurement control unit 430 described above, the change in resistance value of the vibration frequency detecting unit 532 detects the vibration frequency of the sensing unit 530 _5. Here, when one of the heating and 1 cycle cooling to the excitation portion 531, 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 ) Depending on the mass. Specifically, the resonance frequency shifts to the lower frequency side as the mass increases. 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. That is, 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”.

The Joule heating is performed by thermocouple 526 _5, which 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. As the 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.

Further, the number of flow paths formed in the sensor chip 520 is not limited to the example shown in FIG. For example, the sensor chip 520 may be formed with three or less channels or five or more channels provided with reaction parts.

Further, in the sensor chip 520 described above, a discharge portion 529 that is a cavity formed in the substrate 521 is formed. In the case of the example in FIG. 24, 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.

In the example illustrated in FIG. 24, 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. 26 shows the output voltage from the temperature sensors 526 ₁ to 526 ₄ . A waveform W21 shows an example of the output voltage when the environmental temperature is high, and 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. As described above, 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. At this time, 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.

24 is provided with a suction unit that sucks the sample moving in the flow paths 524 ₁ to 524 ₅ in the direction from the sample injection hole 523 toward the discharge unit 529. 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.

[Modification (Handy type)]
In the above-described second embodiment, the smart toilet system 4 has been described as an example. However, the above-described sensor chip 420 may be incorporated in a handy type measuring device that is a small portable type. 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. In addition, 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. Further, the calorimetric sensor 500 may be provided with a drain outlet corresponding to the drainage section. Note that 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.

[Modification (Other systems)]
In the above-described second embodiment, the smart toilet system 4 has been described as an example. However, the second embodiment described above can also be applied to a smart brush system or a smart sync system.

For example, when the second embodiment described above is applied to a smart brush 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. Further, when the second embodiment described above is applied to a smart sync system, 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.

[Modification (Target for prediction)]
In the second embodiment, an example of fixing the reaction unit 425 ₁ to 425 ₃ enzymatic as a reactant that reacts with the body of the biological material. However, a specific antibody or antigen may be immobilized on the reaction units 425 ₁ to 425 ₃ instead of an enzyme. Then, 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. In this case, 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.

〔effect〕
As described above, according to the second embodiment, a biological material such as a biological material can be detected with higher accuracy than a sensor based on a redox current. This will be described with reference to FIG. FIG. 28 is a diagram illustrating an example of a urine sugar test using a redox current. As shown in FIG. 28, in the conventional urine sugar sensor, for example, 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. However, since 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. In addition, by providing a selectively permeable membrane that allows only hydrogen peroxide to pass therethrough, it is conceivable to reduce the influence of the interfering substance on the oxidation-reduction current. However, the sensor structure is complicated and the manufacturing cost is increased. On the other hand, 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.

Also, according to the sensor chip 420 according to the second embodiment, the injected in-vivo substance is discharged to the discharge part, so that it can be washed and used repeatedly. Furthermore, according to the sensor chip 420 according to the second embodiment, 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. . In the daily human dock described above, since a sensor is provided in a toilet bowl or the like, 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. .

(Other embodiments, etc.)
[Furniture]
In the said embodiment, although 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. For example, the fixture may be a cup from which the user discharges urine or the like. Moreover, in the said embodiment, the example which measures the information which shows the characteristic of a user's biological material from the user's in-vivo material drained or discharged | emitted from a fixture with the sensor provided in the fixture was shown. For example, in the first embodiment, 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. Moreover, in 2nd Embodiment, the temperature based on the thermal reaction of the internal substance discharged | emitted from the toilet bowl 401 and the predetermined | 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. However, the present invention is not limited to this example, and 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. For example, 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.

[Hardware configuration]
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. In the home server 50, 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. For example, in the home server 50, 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.

〔Constitution〕
In the above-described embodiment, 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.

In the above-described embodiment, the example in which the home server 50 performs the prediction process is shown, but the present invention is not limited to this example. For example, 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. Further, for example, the

measurement devices

103, 203, 303, and 410 may include the prediction unit 55 and perform the above-described prediction processing.

Further, the embodiment is not limited to the above-described embodiment. For example, the embodiments described above can be combined as appropriate within a range that does not contradict the processing contents.

In addition, the physical configuration illustrated in the above-described embodiment is merely an example. Each unit illustrated in the above-described embodiment is appropriately integrated or distributed according to the operation mode and load.

According to the embodiments described so far, it is possible to realize an everyday human dock to regain motivation to live by bringing together the originality of semiconductors, communication, energy, materials, and medical technologies. That is, according to the embodiment, as shown in FIG. 30, the disease and the sprouting of the disease are detected quickly, the return to health is supported, the return to the health of the unaffected person, and the early society of the sick person. By helping to return, QOL (Quality of Life) can be improved, resulting in a reduction in medical costs and an increase in healthy age.

Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and modifications thereof are included in the scope of the present invention and the gist thereof, and are also included in the invention described in the claims and the equivalent scope thereof.

Claims

A reception unit that is a toilet installed in a toilet or a washroom and receives a user's in-vivo material taken out of the fixture used by the user;
A measurement unit that measures information indicating characteristics of the biological substance from the in-vivo substance received by the reception unit by a sensor provided in the fixture,
Based on the information measured by the measurement unit, a prediction unit for predicting the biological material contained in the user's body;
A determination unit that determines the health state of the user from the biological material predicted by the prediction unit;
A biological management system comprising: a display unit that displays advice for the user based on the health condition determined by the determination unit.
The biological management system includes a measuring device and a management device,
The measurement device includes the measurement unit, and a transmission unit that transmits information measured by the measurement unit to the management device,
The management device includes the prediction unit and a reception unit that receives information transmitted by the transmission unit,
The biological management system according to claim 1, wherein the prediction unit predicts a biological material contained in the user's body based on information received by the reception unit.
The biological management system further includes a server device,
The server device collects life log information in which the behavior information of the user is associated with a prediction result by the prediction unit from the management device, and provides a medical institution with an analysis result of the collected life log information. The biological management system described in 1.
A reception unit that receives drainage material including the body material of the user to be taken out from the fixture used by the user;
A measuring unit that measures a magnetic field generated from a mixture of a reactive substance that is an antibody or an antigen and a magnetic bead mixed with the waste material received by the receiving unit by a magnetic field sensor,
A biological management system comprising: a prediction unit that predicts a biological substance contained in the user's body based on the magnetic field measured by the measurement unit.
The reception unit is, as the drainage substance, cleaning water taken out from a fixture that cleans a cleaning instrument for cleaning the user with cleaning water, cleaning water taken out from a fixture that cleans the user with cleaning water, or the Accepting the discharge from the user from the fixture from which the user's discharge is discharged;
The biological management system according to claim 4.
A display control unit for displaying a prediction result by the prediction unit on a display device;
The prediction unit predicts the health state of the user from a predetermined biological material predicted to be contained in the user's body,
The biological management system according to claim 4, wherein the display control unit causes the display device to display the health state predicted by the prediction unit.
The prediction unit determines whether or not a predetermined biological material is contained in the user's body after a predetermined time has elapsed since the drainage material taken out from the fixture, the reaction material, and the magnetic beads are mixed. 7. The biological management system according to claim 4, wherein the biological management system predicts and predicts an amount of the predetermined biological material contained in the user's body after a time longer than the predetermined time has elapsed.
A flow path through which drainage material extracted from the fixture flows,
A mixing section for mixing different reactants with the drainage material flowing through the flow path,
The measurement unit measures a magnetic field generated from a mixture in which the reactants are mixed for each reactant mixed by the mixing unit,
The predicting unit is a biological material that causes an antigen-antibody reaction with the reactant for each reactant mixed by the mixing unit based on the magnetic field measured by the measuring unit, and the body of the user The living body management system according to any one of claims 4 to 7, which predicts a biological material contained in the body.
The flow path includes a first flow path through which the drainage material flows, and a plurality of second flow paths branched from the first flow path,
The mixing unit mixes different reactive substances for each second flow path with waste water flowing in the second flow path,
The biological management system according to claim 8, wherein the measurement unit measures a magnetic field generated from the mixture flowing in the second flow path for each second flow path.
The measurement unit measures a magnetic field generated from washing water for washing the flow path through which the mixture flows,
The living body management system according to claim 8 or 9, wherein the prediction unit predicts a cleaning state in the flow path based on a magnetic field from the cleaning water measured by the measurement unit.
A reception unit for receiving the user's body substance taken out from the fixture used by the user;
A temperature measurement unit that measures a temperature change based on a thermal reaction between the in-vivo substance and the predetermined reactant received by the reception unit;
A biological management system comprising: a prediction unit that predicts a biological substance contained in the user's body based on a temperature change measured by the temperature measurement unit.
The said reception part receives the said in-vivo substance taken out from the said appliance which is the washing | cleaning apparatus which wash | cleans the said appliance from which the said user's discharge | emission is discharged | emitted from the said user, or the said user. The biological management system according to 11.
A display control unit for displaying a prediction result by the prediction unit on a display device;
The prediction unit predicts the health state of the user from a predetermined biological material predicted to be contained in the user's body,
The biological management system according to claim 11, wherein the display control unit causes the display device to display a health state predicted by the prediction unit.
The reception unit, a flow path through which the in-vivo substance moves from the reception unit to the discharge unit, a reaction unit provided between the reception unit and the discharge unit in the flow path, and the temperature measurement unit Further comprising a sensor having
The temperature measurement unit measures a temperature change based on a thermal reaction between an in-vivo substance moved to the reaction unit via the flow path and a reaction material provided in the reaction unit. The biological management system according to one.
The flow path has a plurality of branch flow paths branched from the reception unit,
The reaction section is provided for each branch channel, and a different reactant is provided for each branch channel,
The biological management system according to claim 14, wherein the temperature measurement unit measures the temperature change for each reaction unit.
The sensor is characterized by characteristics of the biological material contained in the body of the user by a method other than the method of measuring the temperature change based on the thermal reaction in at least some of the plurality of branch channels. The biological management system according to claim 15, wherein information indicating s is measured.
The sensor further includes a substrate on which the reception unit and the flow path are provided,
The temperature measurement unit is based on a measurement result by a first temperature sensor provided in a region other than the flow path in the substrate and a measurement result by a second temperature sensor provided in the reaction unit, The living body management system according to any one of claims 14 to 16, wherein the temperature change is measured.
The first temperature sensor measures an environmental temperature;
The second temperature sensor measures a temperature change in the reaction part,
The predicting unit determines a biological material contained in the user's body based on a value after the measurement result by the second temperature sensor is corrected according to the environmental temperature measured by the first temperature sensor. Predicting the biological management system according to claim 17.
The temperature measurement unit measures the temperature change after the flow path through which the body substance has moved is washed,
The biological management system according to any one of claims 14 to 18, wherein the prediction unit predicts a cleaning state in the flow path based on a temperature change measured after the cleaning by the temperature measurement unit.
The biological management system according to any one of claims 14 to 19, further comprising a control unit configured to control the substance in the flow channel to be sucked from the flow channel to the discharge unit.
The biological management system
The toothbrush used by the user is ultrasonically cleaned with cleaning water,
The magnetic field generated from the mixture in which the reactive substance, which is an antibody or antigen, and magnetic beads are mixed in the washing water after the ultrasonic cleaning is performed, is measured by a magnetic field sensor,
Predicting biological material contained in the user's body based on the measured magnetic field;
Biological management method.
The biological management system
Drain the discharged substances discharged from the user's mouth to the sink,
A magnetic field sensor measures the magnetic field generated from the mixture of the discharged waste material, the reaction material that is an antibody or antigen, and the magnetic beads,
Predicting biological material contained in the user's body based on the measured magnetic field;
Biological management method.
The biological management system
Inject the exhaust material discharged into the fixture by the user into the sensor,
The sensor measures a temperature change based on a thermal reaction between the injected body substance and a predetermined reactant,
Predicting a biological material contained in the user's body based on the measured temperature change;
Biological management method.
A portable small-type measuring device having a receiving unit that receives a substance in the user's body, and a measuring unit that measures information indicating characteristics of the biological substance from the in-vivo substance received by the receiving unit,
Based on the information measured by the measurement unit, a prediction unit for predicting the biological material contained in the user's body;
A determination unit that determines the health state of the user from the biological material predicted by the prediction unit;
A biological management system comprising: a display unit that displays advice for the user based on the health condition determined by the determination unit.