JP2018108327A - Health monitoring system, health monitoring method and health monitoring program - Google Patents

Abstract

It is not easy to use in urination analysis such as urine component analysis and in estimating a disease based on the analysis result. A storage unit that stores shape information for each toilet and information on the amount of stored water, and non-contact detection of electromagnetic waves radiated from the toilet user's urination or the stored water into which the toilet user's urine flows. Based on the detection unit, the temperature measurement unit that measures the temperature of urine or the accumulated water into which urine flows, based on the detected electromagnetic wave, the shape information, the urine volume of urination, and the measured temperature based on the measured temperature An analysis unit that analyzes the urine volume of urination using a fluid model that expresses the relationship, and an estimation unit that estimates a user's disease based on urination information including the analyzed urine volume. [Selection] Figure 2

Description

  The present invention relates to a health monitoring system, a health monitoring method, and a health monitoring program, and more particularly to a health monitoring system, a health monitoring method, and a health monitoring program that are installed in a toilet and analyze urination to infer a disease.

  In response to the recent increase in health consciousness, there have been many services that analyze and monitor the state of urine (amount and components) and provide advice. When there is a physical abnormality, the urine state is likely to change, and it is effective to monitor the urine state on a daily basis to detect a physical abnormality.

  As such a urine analysis technique, for example, Patent Document 1 discloses that the concentration of a specific component in one urine of a human being measured and the concentration of the specific component in the whole urine of one day measured. The data representing the correlation between the data is stored, and using the correlation, the concentration of the specific component in the whole urine of the subject is calculated and obtained, and the subject's concentration is calculated from the obtained concentration. A urination information measuring device for calculating the amount of excretion of a specific component in the whole urine of a day is disclosed.

  Further, Patent Document 2 discloses a urination information measuring device for calculating urine output and urine flow rate by a bowl of a toilet bowl for storing urine and urine data measuring means for measuring the volume and weight of urine stored in the bowl. It is disclosed. The urination measuring device described in Patent Document 2 calculates a urination amount and a urine flow rate based on each water level or a water level change rate at the start of urination or at the end of urination, and applies a predetermined vibration model to the calculated data. The urination information is calculated by processing according to the above.

JP 2013-36817 A JP 2013-90748 A

  However, in the invention described in Patent Document 1, it is largely composed of a housing and a sensor unit, and the housing must be sprinkled with the urine excreted by the subject to be measured by holding the housing with the hand of the subject. Convenience was not always sufficient.

  Also in the invention described in Patent Document 2, as means for measuring the volume and weight of urine stored in the bowl of the toilet bowl, the water level data of the stored water in the bowl is used, or the sewage pressure measurement of the sewage pipe is used. Because it uses the elements that make up a toilet, it could not be applied to existing toilets. Therefore, in the urination information measuring device described in Patent Document 2, the versatility is poor and the usability is not always sufficient.

  Therefore, the present invention has an object to provide a simple and easy-to-use health monitoring system, health monitoring method, and health monitoring program for analyzing urination such as urine component analysis and estimating a disease based on the analysis result. .

  The health monitoring system according to the present invention includes a storage unit that stores shape information for each toilet and information on the amount of water stored in the toilet, and electromagnetic waves radiated by stored water into which toilet user urine or toilet user urine flows. A non-contact detection unit, a temperature measurement unit that measures the temperature of urine or the amount of stored water into which urination has flowed based on the detected electromagnetic wave, shape information, and urine volume of urination based on the measured temperature And an analysis unit that analyzes the urine volume of urination using a fluid model that represents the relationship with the measured temperature, and an estimation unit that estimates a user's disease based on the urination information including the analyzed urine volume.

  Furthermore, in the health monitoring system according to the present invention, the detection unit may detect temperatures at a plurality of points arranged two-dimensionally based on the shape information.

  Furthermore, in the health monitoring system according to the present invention, the temperature measurement unit acquires a temperature distribution based on the temperatures detected at a plurality of points, and the analysis unit acquires the urine for urination based on the acquired temperature distribution and the fluid model. Volume or urine flow may be analyzed.

  Furthermore, the health monitoring system according to the present invention further includes a human detection unit that detects whether or not a person is present in the private room in which the toilet is installed, and the detection unit detects human presence by the human detection unit. Based on the above, detection of electromagnetic waves may be enabled.

  Furthermore, the health monitoring system according to the present invention includes an electrode unit for measuring a potential difference in urination or stored water into which urination flows, a correction unit for correcting the measured potential difference based on the water amount information and the analyzed urine amount, and a correction The analyzer may further include an analysis unit that analyzes the urine component of urination based on the potential difference, and the estimation unit may estimate the user's disease based on the analyzed urine component.

  Furthermore, in the health monitoring system according to the present invention, the electrode unit may measure a potential difference between the two electrodes immersed in the stored water or the stored water in which urine flows.

  Further, the health monitoring system according to the present invention includes a film that reacts with the component to be detected, a filming unit that shoots the film after the film is immersed in pooled water, and generates shooting information, and water amount information and analysis. A correction unit that corrects imaging information based on the amount of urine and an analysis unit that analyzes urine components of urination based on the corrected imaging information, and the estimation unit is based on the analyzed urine components. You may guess the disease.

  Furthermore, the health monitoring system according to the present invention further includes an illuminance sensor unit that measures illuminance, the storage unit stores illuminance information for each toilet, and the correction unit corrects the photographing information based on the illuminance information. May be.

  Furthermore, in the health monitoring system according to the present invention, the estimation unit may create a feature vector from the imaging information, identify the feature vector by training data, and infer a disease based on the identified feature vector. .

  Furthermore, the health monitoring system according to the present invention further includes a user identification unit for identifying a user based on user identification information output from a terminal or IC card owned by the user, and the estimation unit is configured to recognize the identification result. Based on this, the disease may be estimated for each user.

  Furthermore, in the health monitoring system according to the present invention, the user identification unit further includes a measurement unit that measures the weight of the user received by the toilet seat when the user uses the toilet seat and generates weight information, and the user identification The unit may identify the user based on the weight information.

  Furthermore, in the health monitoring system according to the present invention, the measurement unit may include a cartridge for storing the film, and each time the film is photographed, the film used for the measurement may be pushed out from the cartridge.

  The health monitoring method according to the present invention includes a storage step for storing shape information for each toilet and the amount of water stored in the toilet, and electromagnetic waves radiated by stored water into which toilet user urination or toilet user urine flows. A non-contact detection step, a temperature measurement step for measuring the temperature of urine or stored water based on the detected electromagnetic wave, shape information, urine volume of urination, and a measured temperature based on the measured temperature An analysis step of analyzing the urine volume of urination using a fluid model representing the relationship between the urine volume and an estimation step of estimating a user's disease based on urination information including the analyzed urine volume.

  The health monitoring program according to the present invention is a program for controlling a computer, and includes a storage function for storing shape information for each toilet and water volume information, and urination of a toilet user or urination of a toilet user. A detection function that detects the electromagnetic waves emitted from the stored water in a non-contact manner, a temperature measurement function that measures the temperature of urine or stored water based on the detected electromagnetic waves, a shape information based on the measured temperature, An analysis function that analyzes the urine volume with a fluid model that represents the relationship between the urine volume and the measured temperature, and an estimation function that estimates the user's disease based on the urination information including the analyzed urine volume Prepare.

  The health monitoring system according to the present invention includes a storage unit that stores shape information for each toilet and information on the amount of water stored in the toilet, and electromagnetic waves radiated by stored water into which toilet user urine or toilet user urine flows. A non-contact detection unit, a temperature measurement unit that measures the temperature of urine or the amount of stored water into which urination has flowed based on the detected electromagnetic wave, shape information, and urine volume of urination based on the measured temperature And an analysis unit that analyzes the urine volume of urination using a fluid model that represents the relationship with the measured temperature, and an estimation unit that estimates a user's disease based on the urination information including the analyzed urine volume. With these configurations, when the urine component is measured, the health monitoring system according to the present invention is installed in the existing toilet, and the subject can measure the urine component simply by excreting as usual, so the device is sprinkled with urine. Therefore, it is possible to perform measurement more simply and hygienically than by measuring, and usability can be improved.

  Since the health monitoring system, health monitoring method, and health monitoring program according to the present invention analyze the urine volume by analyzing the movement of the fluid by fluid simulation, it is necessary to consider how much the urine is diluted by the stored water. Can be analyzed accurately.

  The health monitoring system and health monitoring method according to the present invention can improve simplicity and usability in analyzing urination information and inferring diseases.

It is a system diagram showing an example of a health monitoring system configuration. It is a block diagram which shows an example of a structure of one Embodiment of the health monitoring system. It is a block diagram which shows an example of a structure of one Embodiment of the health monitoring system. 1 is a diagram schematically illustrating an example of an overview of an embodiment of a health monitoring system 500. FIG. It is a figure which shows typically an example of the general appearance of the measuring apparatus 200 of the health monitoring system 500. It is a figure which shows typically an example of the measuring apparatus 200 of one Embodiment of the health monitoring system. It is a figure which shows typically an example of the detection part 215 of one Embodiment of the health monitoring system 500. FIG. It is a figure which shows typically an example of the internal structure of the measurement part 210 which comprises the measuring apparatus 200 which concerns on Embodiment 1. FIG. It is a figure which shows typically an example of the internal structure of the measurement part 210 which comprises the measuring apparatus 200 which concerns on Embodiment 2. FIG. It is a figure which shows typically an example of the internal structure of the measurement part 210 which comprises the measuring apparatus 200 which concerns on Embodiment 2. FIG. It is a figure which shows typically an example of the internal structure of the measurement part 210 which comprises the measuring apparatus 200 which concerns on Embodiment 2. FIG. It is a figure which shows typically an example of a structure of the film and reagent which comprise the imaging | photography part 212. FIG. It is a data conceptual diagram which shows the data structural example of the database of the data which the health monitoring system 500 memorize | stores. It is a data conceptual diagram which shows the example of a data structure of matching of the measurement / analysis result of the health monitoring system 500, and information, such as a disease. It is a flowchart which shows an example of the process which the health monitoring system 500 performs. It is a flowchart which shows an example of the process which the health monitoring system 500 performs. It is explanatory drawing of the experimental result in Example 1 of the health monitoring system. It is explanatory drawing of the experimental result in Example 2 of the health monitoring system.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
<Overview>
FIG. 1 is a system diagram showing an example of a health monitoring system configuration according to the present invention.

  As shown in FIG. 1, the system includes a server 100, a measuring device 200, and a user terminal 300. Server 100 is connected to measurement device 200 and user terminal 300 via network 400. In FIG. 1, only one server 100, one measuring device 200, and one user terminal 300 are shown for simplicity of explanation, but it goes without saying that there may be more than that. In addition, the specific device of the user terminal 300 is not limited to a smartphone as illustrated, and may be a mobile terminal, a tablet terminal, a personal computer, or other electronic devices, for example. Furthermore, the system may use a cloud service (including both public cloud and private cloud), or may provide a service by physically providing a shared or dedicated server in the target facility.

  The user terminal 300 is equipped with an application (hereinafter referred to as a “health monitoring app”) that displays health condition monitoring results (including analysis results and estimation results) that are a part of the health monitoring system according to an embodiment of the present invention. As shown in FIG. 4, it is possible to check the health condition of the user by viewing the display of the health monitoring application.

  For example, as shown in FIG. 4, the health monitoring system 500 installs a measuring device 200 in an existing toilet or the like, and measures fluid information regarding the fluid in the stored water into which the urine of the user of the toilet flows into the measuring device 200. Then, based on the fluid information measured in the server 100, the urination is analyzed by analyzing a fluid model obtained by modeling the region in which the fluid flows. Based on the urination information of the analyzed urination, the disease of the user Can be guessed. As a result, the health monitoring system 500 is simple and easy to use because, for example, the user can determine signs of illness, positive / negative, etc. by simply performing normal urination while staying at home or at work. Good health monitoring service with good sustainability.

  In addition, as shown in FIG. 4, for example, the health monitoring system 500 includes a measuring device 200 installed in an existing toilet, etc., and an imaging unit 212, an illuminance sensor unit 214, a detecting unit 215, and a temperature measuring unit of the measuring device 200. In 216, the temperature or the like related to the fluid in the stored water into which the urination of the toilet user has flowed is measured in a non-contact manner, and the urine volume of the urine and the temperature are measured based on the fluid information including the measured temperature in the server 100. It is possible to analyze urination using a fluid model that expresses such a relationship, and to estimate a user's disease based on urination information including the urine volume of the analyzed urination. As a result, the health monitoring system 500 is simple and easy to use because, for example, the user can determine signs of illness, positive / negative, etc. by simply performing normal urination while staying at home or at work. Good health monitoring service with good sustainability.

  In addition, the health monitoring system 500 is not limited to application to homes and workplaces, and can be used for patient health management in nursing homes and hospitals, and can reduce risk on the management side. Here, “urination information” refers to various types of information related to urination of the user, and may include urine volume, urine temperature, urine components, and the like.

  In this example, the server 100 is used. However, the present invention is not limited thereto. For example, the health monitoring system 500 is configured by the measuring device 200 alone or the measuring device 200 and the user terminal 300 without using the server 100. May be. In addition, the health monitoring system 500 includes a cloud doctor service (for example, a service for treating a patient's health and physical condition over a network) or a cloud mother service (for example, a machine learning by deep learning). For example, it can be used for a service for monitoring the health condition and physical condition of a child via a network.

<Configuration>
Hereinafter, the configuration of the server 100, the measurement apparatus 200, and the user terminal 300 will be described.
FIG. 2 is a block diagram illustrating a configuration example of a health monitoring system according to an embodiment of the present invention.

  As shown in FIG. 2, the health monitoring system according to the first embodiment includes a measurement device 200 including a measurement unit 210 and a server 100 including a control unit including an analysis unit 121 and an estimation unit 124.

  The measuring unit 210 of the measuring apparatus 200 measures fluid information regarding the fluid in the stored water into which the urine of the toilet user has flowed.

  Based on the fluid information measured by the measurement unit 210, the analysis unit 121 of the server 100 determines the relationship between the shape of the toilet bowl, the amount of urination, and the temperature of urine or urine-containing water (reserved water into which urine flows). Analyze urination with a fluid model to represent. Moreover, the estimation part 124 of the server 100 estimates a user's disease based on the urination information including the analyzed urine volume.

  In one embodiment, the measurement unit 210 detects non-contact electromagnetic waves radiated from the urination of the toilet user or the stored water into which the urine of the toilet user flows, and urinates based on the detected electromagnetic waves. Or measure the temperature of urine-containing water.

  As described above, the measurement unit 210 can detect the electromagnetic waves emitted from the urination of the toilet user or the stored water into which the urination of the toilet user flows in a non-contact manner and measure the temperature. Therefore, for example, durability can be maintained for a longer time and the usability can be improved more hygienically than measuring the temperature by immersing the measuring device 200 in the urine of the measurement subject or urine-containing water.

FIG. 3 is a block diagram illustrating a configuration example of a health monitoring system according to an embodiment of the present invention.
FIG. 3 is a block diagram illustrating an example of functional configurations of the server 100, the measurement apparatus 200, and the user terminal 300. In addition, in arrangement | positioning of each part, you may change suitably between the server 100, the measuring apparatus 200, and the user terminal 300 according to the operating environment, the condition, etc. of each apparatus. For example, the analysis unit 121, the correction unit 122, the analysis unit 123, and the estimation unit 124 of the server 100 may be arranged in the control unit 230 of the measurement apparatus 200 or may be arranged in the control unit 320 of the user terminal 300. As illustrated in FIG. 3, the server 100 includes a communication unit 110, a control unit 120, and a storage unit 130.

  Further, the server 100 can be configured in a multi-stage configuration. For example, the server 100 may be configured by a server (relay server) installed in a facility and a server that includes a specific area including a plurality of facilities or all areas. . As the transmission timing of the relay server, (1) periodically (for example, every fixed time determined in consideration of the capacity of the storage unit 130), (3) a threshold is set for the storage capacity of the storage unit 250. The timing when the threshold is reached may be used as the transmission timing.

  The communication unit 110 includes a reception unit 111 and a transmission unit 112, and has a function of executing communication with the measurement apparatus 200 and the user terminal 300 via the network 400. The communication may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be performed.

  The receiving unit 111 has a function of receiving measurement data and the like from each measurement device 200 and each user terminal 300 via the network 400 according to the control of the control unit 120 and transmitting the measurement data to the control unit 120. Specifically, the receiver 111 stores the water temperature information of the water in the bowl of the toilet bowl from the measuring device 200 and the water containing the urine of the user of the toilet bowl (hereinafter referred to as “urine-containing water”). Voltage information based on the potential difference between the electrodes by immersing the electrode in urine-containing water, user identification information for identifying the user, illuminance information, and imaging information obtained by imaging the film reacted with the reagent in the imaging unit 212 (hereinafter referred to as “imaging information”) Is transmitted to the control unit 120.

  The transmission unit 112 has a function of transmitting control data and the like to each measuring apparatus 200 and monitoring result data and the like to each user terminal 300 through the network 400 according to the control of the control unit 120. Specifically, for example, the transmission unit 112 includes user information (for example, ID information) stored in the storage unit 130 for control of the user identification unit 220, measurement and photographing of the measurement unit 210, and user identification unit 220. Dynamic parameter data and the like necessary for identification are transmitted to the measuring apparatus 200, and display data representing monitoring results such as analysis results related to the analyzed urine component, estimation results related to the positive and negative of the estimated disease, etc. It transmits to the user terminal 300.

  The control unit 120 includes an analysis unit 121, a correction unit 122, an analysis unit 123, and an estimation unit 124, and is a processor having a function of controlling each unit of the server 100. Further, when the analysis result is transmitted from the analysis unit 123 or when the estimation result is transmitted from the estimation unit 124, the control unit 120 displays the text, a table, or a graph on the display unit 330 of the user terminal 300. Generate display data. The control unit 120 transmits the generated display data to the transmission unit 112 for transmission to the user terminal 300.

  The analysis unit 121 has a function of analyzing urination by analyzing a fluid model obtained by modeling a region where the fluid flows based on the fluid information. Here, “fluid information” refers to information necessary for fluid analysis, and is composed of toilet bowl shape information (hereinafter referred to as “shape information”), information on the amount of water stored in the toilet bowl, water temperature information, and the like. Is done. Specifically, the analysis unit 121, for example, based on the temperature of the urine or urine-containing water measured by the temperature measurement unit 216, the shape information, the urine volume of urination, and the temperature of the measured urine or urine-containing water Analyze urine output with a fluid model that represents the relationship between

  Specifically, the analysis unit 121 flows around the measurement unit 210 based on at least one of, for example, the shape information of the toilet bowl, the amount of water stored in the toilet bowl, or the water temperature information. Based on the fluid model obtained by modeling the fluid, urination is analyzed by analyzing the fluid around the measurement unit 210 and calculating the amount of urine. In addition to the toilet bowl shape information, the amount of stored water in the toilet bowl, and the water temperature information, the analysis unit 121 includes at least information on the toilet environment such as the amount information of the detergent or the component information of the detergent. By adding any one of them, the urination information may be analyzed by modeling the fluid based on these. This eliminates the need to collect urine alone to measure urine volume, or to measure urine volume from the rate of change in water level using a measuring instrument attached to a toilet bowl or drainage pipe. A health monitoring system can be provided.

  The modeling of the fluid is performed based on the water temperature information generated from the water temperature of the stored water and urine-containing water measured using, for example, regression analysis using SVM (Support vector machine) or the like. It is possible to construct and analyze a prediction model of how it will change and eventually converge. In the regression analysis, the SVM may be combined with the data structure derived by the kernel method for analysis. As another example, it is conceivable to construct and analyze a regression model using regression analysis by the MCMC method (Markov Chain Monte Carlo). In addition to these, as an example of modeling a fluid region using fluid simulation, a finite element method or a CFD (Computational Fluid Dynamics) method may be used.

As an example, when the analysis unit 121 uses regression analysis in modeling the fluid, the urine volume q _u is the amount of change T between the temperature of the stored water in the toilet bowl before urination and the temperature of urine-containing water after urination. by using the _a, and the temperature difference T _b between the temperature of urination containing water after urination and (constant between core temperature 36-38) temperature of the urine, and a parameter q _w of each shape of the toilet bowl, the formula ( As in 1), it can be represented by a mathematical model that represents the relationship between toilet shape information, urine volume, and measured temperature of urine or urine-containing water.

  Moreover, the analysis part 121 may analyze the urine volume or urine flow volume of urination based on the temperature distribution and the prediction model which the temperature measurement part 216 acquired as an example. Specifically, for example, based on the temperature distribution, the analysis unit 121 may perform fluid analysis for each temperature distribution region and analyze the urine flow or urine flow rate for each region. In the analysis, the urine volume or the urine flow rate may be obtained by calculating the flow rate based on the temperature difference between two points due to the temperature distribution used in the thermal mass flow meter, or by using machine learning, for example, SVM. If so, the distance between the support vector of each classification and the support vector is maximized in advance with the urine volume or urine flow rate as the objective variable (feature quantity) and the explanatory variable (feature quantity) as the temperature for the temperature distribution region. The urine volume or the urine flow rate may be obtained by obtaining a decision boundary and classifying the decision boundaries.

  The correction unit 122 has a function of correcting the voltage information based on the urination information including the water amount information and the urine amount. Specifically, for example, the correction unit 122 calculates the dilution level by dividing the urine volume by the sum of the water volume and the urine volume, and corrects the voltage information based on the dilution level. As a result, it is possible to acquire voltage information in consideration of dilution by stored water in the bowl of the toilet bowl, and to analyze urine components.

As an example, the correction unit 122 uses the urine volume q _u , the water volume q _t in the bowl of the toilet bowl, and the potential difference E as the voltage information as the voltage information E ′ corrected as the voltage information based on the dilution degree, It can be expressed as (2).

  The correction unit 122 has a function of correcting shooting information based on illuminance information. Here, “illuminance information” refers to information representing the illuminance (brightness) (lx) of the film surface of the photographing unit 212. Specifically, for example, the correction unit 122 performs correction by adjusting the brightness of the RGB value to an appropriate value based on the illuminance information. As a result, RGB values can be obtained in consideration of the influence of illumination, and color measurement can be performed with high accuracy.

  The analysis unit 123 has a function of analyzing urine components based on voltage information or corrected voltage information (hereinafter referred to as “voltage information (after correction)”). Specifically, the analysis unit 123 analyzes the molecular concentration of components such as chloride, glucose, potassium, sodium, and urea in urine based on, for example, voltage information (after correction). Further, the ph value can be analyzed as shown in FIG. Thereby, even if urine is diluted with stored water, it can be analyzed with high accuracy. Further, the analysis unit 123 transmits the analysis result to the control unit 120 in order to generate display data to be displayed on the user terminal 300.

  The analysis unit 123 also has a function of analyzing urine components based on imaging information or corrected imaging information (hereinafter referred to as “imaging information (after correction)”). Specifically, for example, the analysis unit 123 measures the color of a color development reaction of a specific component in urine with respect to the reagent based on imaging information (RGB values), and the specific component in urine corresponding to the color or its concentration Analyze. Further, the analysis unit 123 transmits the analysis result to the control unit 120 in order to generate display data to be displayed on the user terminal 300. Thereby, analysis of specific components in urine and their concentrations by bioassay (such as immunochromatography) can be realized automatically and simply without human intervention, such as by visual inspection.

  The estimation unit 124 has a function of estimating a user's disease based on the analyzed urination information of urination. Specifically, the estimation unit 124 estimates the user's disease based on, for example, the analyzed specific component in urine (specifically, for example, the concentration of the component). As an example, as shown in FIG. 10, the urine sugar value is calculated by analyzing the concentration of glucose in urine, and it is estimated whether diabetes is positive or negative. FIG. 10 also shows the correspondence between the measurement result of the other measurement unit 210 or the analysis result of the analysis unit 123 (referred to as “measurement / analysis result”) and information such as a disease estimated from the measurement / analysis result. An example is shown. In the estimation by the estimation unit 124, the estimation described in the example of the association may be included. In addition, the estimation unit 124 transmits the estimation result to the control unit 120 in order to generate display data to be displayed on the user terminal 300.

  In the estimation by the estimation unit 124, (1) estimation based on a threshold value and (2) estimation based on machine learning can be used. For example, in the estimation of (1), the estimation unit 124 compares the measurement result with a threshold value stored in the storage unit 130, for example, normal (or negative) if the value is within the threshold value, and exceeds the threshold value. If so, it is judged as abnormal (or positive) and the disease is estimated. In the estimation of (2), the feature quantity of the measurement result is extracted, and a feature vector is created based on the feature quantity. The created feature vectors are data created using multiple sets of dictionary data (measurement values and test results linked to the measurement values (results of positive or negative disease based on analysis results and estimation results)). The data is used on the basis of training data (teacher data) in machine learning, and a disease is estimated based on the identification result. As the machine learning technique, a neutral network (perceptron), SVM, or the like may be used. Thereby, the estimation accuracy of the estimation unit 124 can be improved by the learning effect of machine learning.

  For example, the estimation unit 124 may estimate a disease of the toilet user based on the analyzed urine volume and urine flow rate. Specifically, for example, in the uroftometry test, the estimation unit 124 plots the urine flow rate [ml / second] on the urine flow rate [ml / sec] on the horizontal axis from the analyzed urine volume and urine flow. Thus, the user's illness may be estimated from the urination curve obtained. The estimation unit 124 is normal when, for example, the urination curve draws a symmetrical parabolic convex parabola with the highest portion (maximum urine flow rate) as a boundary close to an upward convex parabola, Otherwise, it may be inferred as abnormal (there is some dysuria (such as bladder neck sclerosis or chronic prostatitis)). As a result, the health monitoring system according to the present invention is installed in an existing toilet, and the person to be measured simply urinates as usual, and a urinary flow test (urofluometry test) is performed. The person's disease can be estimated.

The storage unit 130 has a function of storing various programs, data, and parameters necessary for the operation of the server 100. Specifically, for example, the storage unit 130 includes fluid information (toilet bowl shape information, toilet water volume information), imaging information, weight information, illuminance information, user identification information, and communication unit 110, control unit. 120 and parameters necessary for the operation of the storage unit 130 are stored. For example, as shown in FIG. 8, the storage unit 130 stores information necessary for analysis and analysis, measurement results, and inspection results (analysis results and estimation results) in various databases (hereinafter referred to as “DB”). Remember. The data storage and management method is not limited to the DB, and may be stored and stored in various setting files (hereinafter referred to as “setting file”) such as a definition file, a parameter file, and a temporary file. The storage unit 250 is typically realized by various recording media such as an HDD (Hard Disc Drive), an SSD (Solid State Drive), and a flash memory (SD (Secure Digital) memory card). Various DBs are shown in <Data> described later.
The above is the configuration of the server 100.

Next, the configuration of the measuring apparatus 200 will be described.
As shown in FIG. 3, the measurement apparatus 200 includes a measurement unit 210, a user identification unit 220, a control unit 230, a communication unit 240, and a storage unit 250. Moreover, the measuring apparatus 200 can arrange | position each part to several apparatus. For example, as shown in FIG. 5, the measurement apparatus 200 arranges the measurement unit 210 in a device as shown on the left side of FIG. 5, while the user identification unit 220, the control unit 230, the communication unit 240, and the storage unit 250 are arranged. They can be collectively arranged in another device (hereinafter referred to as “main part of the measuring apparatus 200”) as shown on the right side of FIG. Thus, a device in which only the measuring unit 210 is arranged is installed in the bowl of the toilet bowl, etc., and one device may be installed as long as there is no problem in communication, and the device configuration has versatility with respect to the shape of the toilet bowl. It can be. Also, as shown in FIG. 4, the main body of the measuring device 200 is installed within the reach of the wiring as shown in FIG. 4 (for example, the side of the tank, etc.), and the device having only the measuring unit 210 is installed near the bowl of the toilet bowl. Then, the measurement apparatus 200 may be connected by wire or wireless. In the case of wired communication, there is an advantage that power can be supplied in addition to communication. On the other hand, in the case of wireless communication, only communication is provided, but there is an advantage that the installation is easy and the degree of freedom of the installation range is high.

  The measurement unit 210 includes an electrode unit 211, a photographing unit 212, a film 213, an illuminance sensor unit 214, a detection unit 215, and a temperature measurement unit 216. For example, as shown in FIG. 4, the measurement unit 210 may be installed so that at least a part of the electrode unit 211 and the film 213 is immersed in water stored in the bowl of the toilet bowl. For example, as shown in FIG. 4, the measurement unit 210 includes a shadow unit 212, an illuminance sensor unit 214, a detection unit 215, and a temperature measurement unit 216 separately from the electrode unit 211 and the film 213. You may install in one or more apparatuses collectively so that it may not contact water. In this way, it is possible to maintain hygienic and durability for a long time by installing it in a non-contact manner with the stored water, and it can be used until the equipment breaks due to aging (normal wear, natural wear). it can. Note that the configuration and arrangement of the devices of these functional units are not limited to this, and may be appropriately changed according to a toilet to be installed, a user's request, and the like.

  When the measurement unit 210 is notified by the user that the measurement start is input by the input means provided in the control unit 230, the electrode unit 211, the photographing unit 212, the film 213, and the illuminance sensor unit 214 are triggered by the transmission. Each measurement can be started by the detection unit 215 and the temperature measurement unit 216 (hereinafter referred to as “each unit constituting the measurement unit 210” as appropriate).

  The measurement unit 210 has at least one of temperature information generated by the temperature measurement unit 216 (for example, the water temperature of stored water or urine-containing water) or voltage information generated by the electrode unit 211 (for example, potential difference) at a predetermined threshold value. When it reaches, each measurement of each unit constituting the measurement unit 210 can be automatically started or ended. As a result, the user can start the measurement in the normal urination action without performing the selection action of starting or ending each time the measurement is started or ended, and a user-friendly measuring device can be provided. In addition, it is preferable to set it as 38 degree | times as a threshold value of the temperature information of a measurement start.

  The measurement unit 210 can automatically start or end each measurement of each unit constituting the measurement unit 210 when the detection unit 215 receives infrared light having a predetermined wavelength. As a result, the user can start the measurement in the normal urination action without performing the selection action of starting or ending each time the measurement is started or ended, and a user-friendly measuring device can be provided. In addition, it is preferable to set it as 8 micrometers (the infrared rays emitted from a human body are 8-12 micrometers wavelength) as a threshold value of the wavelength of a measurement start. In this case, it is preferable to use a wavelength selection filter so that the detection unit 215 can detect only a predetermined wavelength region (since the sensor itself has no infrared wavelength selectivity).

  As an example, the measurement unit 210 may automatically start or end each measurement of each unit constituting the measurement unit 210 when the user approaches the detection unit 215 within a predetermined distance. As a result, the user can start the measurement in the normal urination action without performing the selection action of starting or ending each time the measurement is started or ended, and a user-friendly measuring device can be provided.

  In addition, the measurement unit 210 automatically performs a measurement triggered by the user identification unit 220 completing the user identification process (validation of each unit (for example, activation or pause of the detection unit 215 or cancellation of the sleeve state). Further, the measurement unit 210 may set a threshold value for each measurement item, and may end the measurement triggered by the acquisition of data that reaches the threshold value. The measurement may be manually started or ended by an operation input from the display unit 330 of the user terminal 300. Furthermore, a human sensor (not shown) is provided in the measurement apparatus 200, and infrared rays or the like of the human sensor is used. Measurement may be triggered by the detection of a person's sign, or the measurement may be terminated by detecting that the person's sign has disappeared. Or termination, the measuring unit 210 may be controlled in total, may be controlled for each one or more respective portions of the measuring section 210.

  The electrode unit 211 measures the electromotive force (potential difference, voltage value) by the electrolyte and the current value flowing between the electrodes immersed in urine-containing water using two or more electrodes for a specific component in the urine that is an electrolyte. And has a function of generating voltage information. Specifically, for example, the electrode unit 211 includes two or more electrodes, a potentiometer, and an ammeter in order to measure the concentration of a specific component in urine. For example, the electrode unit 211 uses one electrode as a reference electrode and another electrode as a working electrode, so that these electrodes are immersed in urine-containing water, and the concentration (activity of urine components for analysis of urine-containing water) ) To measure the electromotive force difference between the working electrode and the reference electrode in response to Voltage information is generated based on the measurement result, and the generated voltage information is transmitted to the transmission unit 242 via the control unit 230 in order to transmit the voltage information to the server 100.

  Here, “voltage information” refers to information relating to electromotive force (potential difference, voltage value) due to a specific component (electrolyte) in urine generated using the electrode of the electrode unit 211. In addition, although the example using the ion selective electrode method was shown, the enzyme electrode method (GOD (Glucose OxiDase) method) may be used, and the electrode method by a triode is added by adding the electrode which becomes a counter electrode. It may be used. Thereby, the density | concentration etc. of the specific component in urine can be measured based on the produced | generated voltage information.

As an example, the potential difference E as voltage information, the pH value pH _i of the reference electrode, and the pH value pH _o which is a hydrogen ion concentration as a characteristic component in urine can be expressed as the following equation (3). Usually, pH _i ≈7, α designates sensitivity, and e designates asymmetric potential. For example, in an ideal electrode with a water temperature of 25 ° C., α = 1 and e = 0.

  The photographing unit 212 has a function of photographing a reaction state by causing a color reaction of a specific component in urine with a reagent or the like using a bioassay. Specifically, for example, the photographing unit 212 includes photographing means for photographing the film 213.

  The imaging unit 212 immerses and absorbs urine-containing water in the sample pad, reads the RGB (Red Green Blue) values of the color developed by the color reaction of the test line and the control line by photographing with a photographing means such as a camera, The imaging information (read RGB values) is transmitted to the transmission unit 242 via the control unit 230 for transmission to the server 100.

  The server 100 measures the color developed by the color reaction based on the photographing information. Accordingly, it is possible to measure the color at a lower cost than reading the wavelength using a spectroscope or the like. At this time, it is assumed that noise is included, but the correction unit 122 of the server 100 can remove the noise.

  Here, the prior arts of Patent Documents 1 and 2 use an antigen-antibody reaction such as an immunochromatographic assay method, add a specimen to a pad to cause an antigen-antibody reaction, and form a complex. There is a problem in that it cannot be applied to a test method in which the antibody is further bound as a complex and the reaction (for example, color development) is used to determine the positive or negative of pregnancy or disease.

  The health monitoring system 500 according to the present invention further includes a film 213 that changes color according to the components of the accumulated water into which urine flows, and an imaging unit 212 that includes an imaging unit that captures the film 213 and generates imaging information. The correction unit 122 corrects the imaging information based on the urination information including the water amount information and the urine volume of urination, and the analysis unit 123 analyzes the urine component based on the corrected imaging information. This method can be applied to a test method using the antigen-antibody reaction, and more measurements can be performed as compared with a conventional urination information measuring device installed in a toilet.

  The film 213 is a thin film (film) that changes color according to the components of urine-containing water. For example, the film 213 can be added with a reagent to cause a color reaction of a specific component in urine, and is in the form of a tape (for example, a thin band-like thickness that can be wound up with a reel or the like). Any material may be used as long as possible, and it may be composed of a polymer component such as a synthetic resin, or may be composed of a fiber such as paper or cloth. Note that the film 213 is preferably transparent. For example, when immunochromatography is used as an assay method, the film 213 includes a sample pad, a conjugate pad, a test line (detection line), a control line, a membrane, an absorption pad, and the like, but is not limited thereto. . The configuration of the film 213 will be described later with reference to FIGS.

  The illuminance sensor unit 214 has a function of measuring the illuminance (brightness) of the film surface photographed by the photographing unit 212. It is composed of a light receiving element such as a photodiode. For example, the illuminance sensor unit 214 detects the illuminance by converting light incident on the light receiving element into a current, and transmits the illuminance information to the transmission unit 242 via the control unit 230 in order to transmit the illuminance information to the server 100. The server 100 can correct the measurement result of the color using the illuminance information. As a result, it is possible to obtain a color measurement result in consideration of illuminance by illumination, and to analyze the reaction state of a specific component for analysis in urine with high accuracy.

  The temperature measuring unit 216 has a function of generating water temperature information by measuring the temperature of stored water in the bowl of the toilet bowl or the temperature of urine-containing water. The temperature measurement unit 216 includes, for example, a thermistor, an oscillator, and a counter. A thermistor outputs a change in resistance value due to a temperature change, converts the change in resistance value into a frequency by an oscillator, measures the frequency by a counter, and measures the temperature. The water temperature information is transmitted to the transmission unit 242 via the control unit 230 for transmission to the server 100.

  The temperature measurement unit 216 measures the temperature of urine or urine-containing water based on the electromagnetic waves detected by the detection unit 215. The temperature measurement unit 216 generates water temperature information based on the measured temperature, and transmits the water temperature information to the transmission unit 242 via the control unit 230 for transmission to the server 100. For example, infrared rays (particularly far infrared rays) can be considered as the electromagnetic waves.

  The detection unit 215 may have a function of detecting, in a non-contact manner, electromagnetic waves (radiation) emitted from the urination of the toilet user or the stored water into which the urination of the toilet user flows. Specifically, the detection unit 215 is, for example, an infrared sensor in combination with the temperature measurement unit 216, and if it is a thermal sensor, (1) a pyroelectric temperature sensor, and (2) a thermopile, It is conceivable to measure the temperature of urination or urine-containing water. By detecting the electromagnetic waves that radiate in non-contact manner with respect to the stored water, urination or urine-containing water in this way, it is not necessary to have a water level due to stored water for soaking, so even Western-style toilets are Japanese-style Measurement is possible even with a toilet, which improves usability.

Specifically, for example, when the detection unit 215 is realized by using the above (1) pyroelectric temperature sensor, the detection unit 215 includes an optical system (such as a Fresnel lens) for increasing the concentration rate of infrared rays, A pyroelectric sensor provided with a pyroelectric element, an OP amplifier (because the amount of electric charge obtained by infrared rays generated from the human body is small, a change in voltage is amplified), and the like may be included. As a pyroelectric element, a ferroelectric ceramic such as PZT (lead zirconate titanate) which is a substance exhibiting a pyroelectric effect, a single crystal such as LiTaO ₃ (lithium tantalate), an organic such as PVDF (polyvinylidene fluoride) It is conceivable to use materials.

  Specifically, for example, when the detection unit 215 is realized using the above-described (2) thermopile, the detection unit 215 includes an optical system (such as a Fresnel lens), a wavelength selection filter, Thermopile element having a thermocouple effect, OP amplifier (may be configured to include infrared rays generated from the human body, etc. Silicon-based material (n-type polysilicon, p-type polysilicon) or membrane (plastic) In the case of using a silicon-based material for the thermopile element, a thermocouple is composed of n-type polysilicon, p-type polysilicon, and metal (Al), and these are connected in series. The detection unit 215 may use a MEMS (Micro Electro Mechanical Systems) thermopile.

  As an example, the detection unit 215 may detect the temperatures of a plurality of points arranged two-dimensionally. Specifically, the detection unit 215 detects, for example, the temperature of urine or urine-containing water at a plurality of points two-dimensionally arrayed by infrared thermography, and the temperature measurement unit 216 detects the temperature at the plurality of points. Based on this, a temperature distribution may be acquired to generate a thermal image. The temperature measurement unit 216 measures the temperature using the generated thermal image. This embodiment will be described with reference to FIG. FIG. 6 is a diagram schematically showing an aspect in which the detection unit 215 is installed in a toilet and the temperature of stored water or urine-containing water is measured by infrared thermography as an example of an overview of an embodiment of the health monitoring system 500. It is.

  As illustrated in FIG. 6, the detection unit 215 uses an optical system or an infrared camera, for example, and an infrared imaging element (such as a microbolometer) of the infrared camera receives infrared light. The temperature measurement unit 216 can acquire the temperature distribution of the entire surface of the stored water or the urine-containing water by measuring the intensity of the received infrared light and coloring it according to the measured intensity. In the case of infrared thermography, infrared imaging elements are arranged in two dimensions, such as 384 horizontal x 288 vertical, 320 horizontal x 240 vertical, and are built-in. The detection unit 215 expresses the acquired temperature distribution, for example, by coloring with a warm color such as red if the surface temperature is high, and by coloring it with a cold color such as blue if the temperature is low. May be. In this way, the temperature measurement unit 216 detects the temperature at a plurality of points arranged two-dimensionally, and thus is more accurate and more real time than measuring the temperature at one point or a plurality of one-dimensional points. The temperature of the stored water or urine-containing water can be measured.

  As an example, the detection unit 215 may include a plurality of infrared detection elements arranged in a two-dimensional array and output the temperature distribution of the measurement target area. As shown in FIG. 5, for example, the detection unit 215 arranges infrared detection elements (such as MEMS thermopile elements) in a grid shape, and each infrared detection element divides the measurement target area into a grid shape. As shown by the dotted arrows, each infrared detection element may measure the temperature in each of the divided areas, and the temperature distribution of the measurement target area may be output. By adopting such a configuration, a rapid temperature change can be captured in real time.

  In addition, for example, the detection unit 215 detects whether a person is present in the private room where the toilet is installed, whether the person moves into the private room where the toilet is installed, or a person's movement. The detection of the electromagnetic wave may be validated based on detection of the presence of a person by a detection unit (not shown). The "person detection unit" here detects people's movements and movements, including entering a person's toilet into a private room by opening and closing a door and detecting movement of a person into and out of the private room of the toilet. It is a general term for the human sensor (not shown), the user identification unit 220, a barometric sensor, a lighting device, and a vibration sensor, which will be described later.

  Specifically, the detection unit 215 includes, for example, a barometric sensor (not shown) as a part of the measurement unit 210 of the measurement apparatus 200 as a part of the measurement unit 210 in addition to the above measurement start unit. It is also possible to detect a person entering a private room by opening and closing or a movement of a person into and out of the private room of the toilet, and to enable detection by the detection unit 215 using the detection of the atmospheric pressure sensor as a trigger. Moreover, the detection part 215 may make detection effective by making it cooperate with the illuminating device (not shown) of the private room of a toilet, and lighting the illuminating device. Furthermore, a vibration sensor (not shown) is provided as a part of the measuring unit 210 of the measuring apparatus 200 in or near the toilet, detects vibration due to human movement, and the detection of the detection unit 214 is triggered by the detection of the vibration sensor. Detection may be enabled. Specifically, by these triggers, a signal for starting or pausing or releasing the sleeve state is sent from the main body or the measuring unit 210 of the measuring device 200, and the detecting unit 215 is detected by starting or pausing or releasing the sleeve state. .

  When the measurement unit 210 is connected to the detection unit 215 by wireless connection, or when the measurement unit 210 is connected to the main body of the measurement apparatus 200 by wireless connection, it is impossible to always supply power, and maintenance of the detection unit 215 is performed. In order to reduce the frequency and enable long-term operation, it is an effective means to reduce power consumption. When the detection unit 215 needs to detect the detection unit 215 as described above, when the detection unit 215 does not need the detection, the power is turned off, the power is turned off, or the sleeve is put into a sleeve state. Consumption can be suppressed, and as a result, maintenance frequency can be reduced to enable long-term operation.

  The user identification unit 220 has a function of identifying a user to be monitored by the health monitoring system 500 using a toilet. For example, as shown in FIG. 4, the user identification unit 220 is connected to the measurement unit 210 via a cable or the like, and includes a suction unit for a ceramic device such as a tank so as to be installed in a tank that stores cleaning water. Alternatively, other attachment means may be provided. Further, the user identification unit 220 may be connected to the measurement unit 210 wirelessly.

  Specifically, the user identification unit 220 is, for example, information (for example, QR code (registered trademark)) that uniquely identifies the user that is output by the health monitoring application installed in the user terminal 300 owned by the user. The information for identifying the user is hereinafter referred to as “user identification information”), magnetic information for uniquely identifying the user of an IC (Integrated Circuit) card owned by the user, WiMAX (Worldwide Interoperability for Microwave Access), Reads information that uniquely identifies a user such as a wireless local area network (WiFi) such as WiFi (Wireless Fidelity) and Bluetooth (registered trademark) (for example, received signal strength information, radio wave received strength information, etc.) Identify.

  As a result, the user can be automatically identified simply by holding the user terminal 300 or the IC card over the user identifying unit 220, and the network can be automatically identified, and as a result It is possible to identify an institution (for example, a company, a hospital, a school, etc.), and each time a user uses a toilet, information that identifies the user or information that identifies a specific institution is input. And can be easily identified.

  Further, the user identification unit 220 may include a measurement unit 221. The measuring unit 221 measures, for example, the weight [Kg] of the user received by the toilet seat in the case of a Western-style toilet, and the weight information for each user (hereinafter referred to as “weight information”) is stored in the storage unit 250. Remember. The user identification unit 220 identifies a user based on the weight information and generates user identification information. In addition, the user identification unit 220 includes a face recognition sensor, a face authentication, a posture detection sensor, a posture detection, a pulse measurement unit, a user pulse measurement, a blood pressure measurement unit, and a user's pulse measurement unit. A user may be identified by blood pressure measurement, body fat percentage measurement means and user body fat percentage measurement, muscle mass measurement means and user muscle mass measurement.

  Moreover, the measurement part 221 may be implement | achieved as an example using a pressure sensor, as shown in FIG. FIG. 6 is a schematic diagram illustrating a configuration example of a toilet according to an embodiment of the present invention. As shown in FIG. 6, the measurement unit 221 is configured by attaching a pressure sensor 800 to the back surface of the toilet seat of the toilet bowl. The pressure sensor 800 measures the weight of the user sitting on the toilet seat. Specifically, the pressure sensor 800 measures the weight applied from above when the user sits on the toilet seat. In FIG. 6, four pressure sensors 800 are provided on the back surface of the toilet seat, but the number of pressure sensors may be any number, for example, one.

  The pressure sensor 800 is used to calculate a change in the weight of the user, and measures the weight applied from above. For example, it is assumed that the pressure sensor 800 measures 30 [Kg] with the user sitting on the toilet seat at a predetermined timing. Thereafter, it is assumed that the pressure sensor 800 measures 31 [kg] with the user sitting on the toilet seat at another timing. In this case, it is calculated that the user's weight has increased by 1 [kg] between a predetermined timing and another timing. In addition, when the pressure sensor 800 is provided with two or more in the toilet seat, the change of a user's weight is calculated based on the total of the measured value in the said several pressure sensor. Thereafter, the calculated change is added to or subtracted from the weight of the user at a predetermined timing, and the weight of the user at another timing is obtained.

  The change in weight may be calculated by multiplying the measured value of the pressure sensor 800 by a predetermined weight according to the number of pressure sensors 800 attached to the toilet seat, the position thereof, and the like. For example, when there is only one pressure sensor 800 provided on the toilet seat and the toilet seat is supported at four points, the change in the weight of the user is four times the measured value. . The predetermined weight may be determined in consideration of the position of the user's center of gravity when the user is sitting on the toilet seat.

  Here, the predetermined timing and the other timing may be, for example, a timing at which the health monitoring system 500 is used. In this case, the weight change can be calculated every time the health monitoring system is used, and the user's weight can be obtained each time the health monitoring system is used.

  The pressure sensor 800 can measure the actual weight of the user, and in that case, the user adds all of his / her weight to the toilet seat. For example, the user raises his / her foot while sitting on the toilet seat so that his / her weight is added only to the toilet seat.

  The weight of the user measured using the pressure sensor 800 is stored in the user DB of the storage unit 130 provided in the server 100. The pressure sensor 800 stores the weight of the user in the user DB via the measurement unit 210 of the measurement device 200. The user DB updates the weight of the user every time the weight of the user is notified from the measurement device 200.

  As described above, in the fourth embodiment, the weight of the user sitting on the toilet seat can be measured by attaching the pressure sensor 800 to the toilet seat of the toilet bowl. Therefore, for example, the user can measure and calculate his / her latest weight every time the toilet is used. In addition, since the user can measure and calculate his / her body weight simply by sitting on the toilet seat, the user can easily measure and calculate his / her body weight as compared with the case of measuring with a weight scale.

  Further, since the weight is measured and calculated by the pressure sensor 800 attached to the toilet seat of the toilet bowl, the latest weight of the user can be measured and calculated every time the user uses the health monitoring system 500. Therefore, it becomes possible to estimate the disease of the user based on the latest weight of the user when using the health monitoring system.

  The pressure sensor 800 may store the measured body weight of each user in the storage unit 250 as weight information. The user identification unit 220 may identify the user based on the stored weight information and generate user identification information.

  The user identification information may be transmitted to the server 100 together with the set water temperature information, voltage information, user identification information, illuminance information, and photographing information, or may be transmitted at the identified timing. The user identification unit 220 is transmitted to the transmission unit 242 via the control unit 230 for transmission to the server 100. As a result, the user can be automatically identified as part of normal urination, and the user can easily identify the user without inputting information for identifying the user every time the toilet is used. it can.

  The control unit 230 is a processor having a function of controlling each unit of the measurement apparatus 200. In addition, the control unit 230 can include an input unit that allows the user to manually select the start of each measurement related to urination (not shown). The control unit 230 notifies the measurement unit 210 that the measurement start is input by the input unit.

  The communication unit 240 includes a reception unit 241 and a transmission unit 242, and has a function of executing communication with the server 100 and each user terminal 200 via the network 400. The communication may be wired or wireless (for example, a communication method such as Wi-Fi (Wireless Fidelity), BLE (Bluetooth Low Energy), ZigBee, etc.), and any communication can be performed. Various communication protocols may be used.

  The receiving unit 241 has a function of receiving control data and the like from each server 100 and each user terminal 300 through the network 400 according to the control of the control unit 230 and transmitting the control data and the like to the control unit 120. Specifically, the reception unit 241 includes user information (for example, ID information) stored in the storage unit 130 for controlling the user identification unit 220 from the server 100, measurement and photographing of the measurement unit 210, and a user identification unit. Dynamic parameter data and the like necessary for identification 220 are received and transmitted to the control unit 230.

  The transmission unit 242 has a function of transmitting measurement data and the like to the server 100 and each user terminal 300 through the network 400 under the control of the control unit 230. Specifically, for example, the transmission unit 242 transmits water temperature information, voltage information, user identification information (including measurement information), illuminance information, and shooting information to the server 100 or each user terminal 300. Note that the transmission timing of the transmission unit 242 is (1) immediately after measurement (for example, triggered by transmission of measurement data from the measurement unit 210), (2) periodically (for example, by the user) (3) When a threshold value is set for the storage capacity of the storage unit 250 and the threshold value is reached, the transmission timing may be set as a transmission timing. .

The storage unit 250 has a function of storing various programs, data, and parameters necessary for the measurement apparatus 200 to operate. Specifically, for example, the storage unit 250 stores user information and parameters necessary for the operation of the measurement unit 210, the user identification unit 220, the control unit 230, and the communication unit 240. The storage unit 250 is typically realized by various recording media such as an HDD (Hard Disc Drive), an SSD (Solid State Drive), and a flash memory (SD (Secure Digital) memory card).
The above is the configuration of the measuring apparatus 200.

Next, the configuration of the user terminal 300 will be described.
As illustrated in FIG. 3, the user terminal 300 includes a communication unit 310, a control unit 320, a display unit 330, and a storage unit 340. Each unit of the user terminal 300 may be included in the health monitoring application, or may be incorporated in the circuit of the user terminal 300.

  The communication unit 310 includes a reception unit 311 and a transmission unit 312 and has a function of executing communication with the server 100 and each measurement device 200 via the network 400. The communication may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be performed.

  The receiving unit 311 has a function of receiving display data and the like from each server 100 and each measuring device 200 via the network 400 and transmitting the display data and the like to the control unit 320 under the control of the control unit 320. Specifically, the receiving unit 311 receives, for example, display information including a urine test result from the server 100 and stores the user information (for example, ID information) stored in the storage unit 130 for control of the user identification unit 220. And the like, and the dynamic parameter data necessary for the measurement and photographing of the measurement unit 210 and the identification of the user identification unit 220 are received and transmitted to the control unit 230.

  The transmission unit 312 transmits user identification such as input information and QR code (registered trademark) information input from the display unit 330 to the server 100 and each measurement device 200 via the network 400 under the control of the control unit 320. It has a function of transmitting information and the like.

  The control unit 320 is a processor having a function of controlling each unit of the user terminal 300. In addition, when the input result is transmitted from the display unit 330 or when the estimation result is transmitted from the estimation unit 124, the control unit 320 displays text, a table, or a graph on the display unit 330 of the user terminal 300. Generate display data. The control unit 120 transmits the generated display data to the transmission unit 112 for transmission to the user terminal 300.

  The display unit 330 has a function of displaying display data received from the server 100 or the measurement apparatus 200. Specifically, for example, as shown in FIG. 4, the display unit 330 displays a measurement value related to the measured urination and a measurement result such as normal or abnormal, an analysis result related to the analyzed urine component, an estimated disease Display data representing monitoring results such as a positive or negative estimation result is displayed using text, a table, a graph, or the like. The result may be displayed in display units designated by the user, such as daily, weekly, or monthly. In addition, the display unit 330 may include input means for the user, for example, to input user identification information (for example, name, age, sex, height, weight, etc.).

The storage unit 340 has a function of storing various programs, data, and parameters necessary for the user terminal 300 to operate. Specifically, for example, the storage unit 340 stores user identification information and parameters necessary for operations of the communication unit 310, the control unit 320, the display unit 330, and the storage unit 340. The storage unit 250 is typically realized by various recording media such as an HDD (Hard Disc Drive), an SSD (Solid State Drive), and a flash memory (SD (Secure Digital) memory card).
The above is the configuration of the user terminal 300.

  FIG. 4 is a diagram schematically illustrating an example of an overview of the health monitoring system 500. This example is an example in which the measurement apparatus 200 is installed in a Western-style toilet and a health monitoring system is used. The type of toilet bowl is not limited to a western style toilet bowl, and a Japanese style toilet bowl or the like may be used for any type of toilet bowl as long as the toilet bowl has water for washing and drainage. As shown in FIG. 4, a part (for example, the measurement unit 210) that measures information related to the stored water and urine-containing water of the measuring device 200 is installed in a device immersed in the stored water in the bowl of the toilet bowl. Other parts (for example, the user identification unit 220, the control unit 230, and the communication unit 240) that do not need to be immersed in the device may be arranged in another device, and for example, the device may be installed to be installed in the tank. In addition, the device in which the user identification unit 220 is arranged is located at a position where the user terminal 300 or the like is placed so that the device can read the QR code information output from the user terminal 300 owned by the user and the information output from the IC card. It is preferable that the device be arranged. Thereby, it is possible to perform measurement after identifying the user without inputting user identification information to the measuring apparatus 200 every time the user uses it.

  Next, the internal structure of the measuring unit 210 constituting the measuring apparatus 200 will be described below.

  FIG. 8 is a diagram schematically illustrating an example of the internal structure of the measurement unit 210 according to an embodiment. Specifically, FIG. 8 shows a configuration example of the film 90 when the film 90 is stored in the measurement unit 210. As shown in FIG. 8, the measurement unit 210 includes a cartridge 30 that stores a plurality of films 90 stacked therein. The cartridge 30 is detachable from the measuring unit 210, and when the film 90 in the cartridge 30 runs out, it can be replaced with a new cartridge 30 in which the film 90 is stored.

  The cartridge 30 stores, for example, a stack of about 30 films 90. The number of films 90 that can be stored in the cartridge 30 is not limited.

  As shown in FIG. 8, at the start of measurement, the film 90 positioned at the bottom of the cartridge 30 is pushed out of the measurement unit 210. Thereby, the said film 90 can be used for a measurement. As described above, Embodiment 1 of the present invention is an example of a strip type in which the film 90 is taken out one by one, and the film 90 is sequentially immersed in water or urine-containing water to present a reagent placed on the film 90. Let color react.

  FIG. 9 is a diagram schematically illustrating another example of the internal structure of the measurement unit 210 according to the first embodiment.

  As shown in FIG. 9, the measurement unit 210 is provided with an extrusion mechanism 50 for extruding the lowermost film 90 of the cartridge 30. The extrusion mechanism 50 pushes the film 90 positioned at the bottom of the cartridge 30 to the outside of the measurement unit 210 every time measurement is started. The extrusion mechanism 50 may have any configuration as long as it can extrude the film 90 that is stacked and stored. The extruding mechanism 50 applies a force in the extruding direction to the film 90 from one side surface portion of the film 90 to extrude the film 90 in the extruding direction.

  The extruding mechanism 50 may extrude the entire film 90 to the outside of the measuring unit 210 or may extrude a part thereof. For example, the push-out mechanism 31 pushes the film 90 positioned at the bottom of the cartridge 30 to the outside of the measurement unit 210 to a position where the clamp unit of the arm 40 can be clamped. For example, the measurement unit 210 operates the push-out mechanism 50 in response to a request to start measurement, and pushes the film 90 out of the measurement unit 210.

  As shown in FIG. 9, the measurement unit 210 includes an arm 40. The arm 40 includes a clamping portion 41 for clamping the film 90 at one end thereof. The clamping unit 41 clamps the film 90 pushed out of the measurement unit 210. As shown in FIG. 9, the sandwiching portion 41 has, for example, a shape like a ridge, and sandwiches the film 90 by the tips of one sandwiching member 41 a and the other sandwiching member 41 b. The sandwiching portion 41 may have any shape or configuration as long as the film 90 can be sandwiched, for example, a shape such as tweezers.

  Moreover, the arm 40 does not need to have the pinching portion 41 at its tip, and may be shaped like a needle, for example. In this case, the film 90 may be pierced (penetrated) at the tip of the arm 40 and the film 90 may be held at one end of the arm 40.

  The other end of the arm 40 is connected to the rotation mechanism 42. The rotation mechanism 42 can move the holding portion 42 that is one end of the arm 40 in the vertical direction by rotating the arm 40 around the rotation mechanism 42.

  FIG. 10 is a diagram schematically illustrating a configuration example of the measurement unit 210 included in the measurement apparatus 200 according to an embodiment. As illustrated in FIG. 10, the measurement unit 210 includes, for example, a rotation mechanism 42 near the lower center of the back surface of the measurement unit 210. As described above, one end of the arm 40 is connected to the rotation mechanism 42, and the holding portion 41, which is the other end of the arm 40, can be moved in the vertical direction.

  The measuring unit 210 can move the film 90 in the vertical direction by operating the rotation mechanism 42 after the holding unit 41 of the arm 40 holds the film 90.

  FIG. 11 is a diagram schematically illustrating a state in which the holding portion 41 of the arm 40 provided in the embodiment moves in the vertical direction.

  FIG. 11A shows the position of the clamping unit 41 when the clamping unit 41 of the arm 40 clamps the film 90. As shown to Fig.11 (a), the clamping part 41 clamps the film 90 above, for example, stored water or urine containing water.

  Subsequently, as shown in FIG. 11B, after the sandwiching portion 41 sandwiches the film 90, the rotation mechanism 42 of the arm 40 is operated to move the sandwiching portion 41 of the arm 40 downward. Thereby, the measurement part 210 moves the film 90 clamped by the clamping part 41 to the downward direction with the said clamping part 41, and is made to immerse the said film 90 in stored water or urine containing water. The arm 40 of the measurement unit 210 stops in a state where the film 90 is immersed in water or urine-containing water, and causes the reagent placed on the film 90 to undergo a color reaction.

  When the color reaction of the reagent placed on the film 90 is completed, the measurement unit 210 causes the rotation mechanism 42 of the arm 40 to operate again and moves the clamping unit 41 of the arm 40 upward. The measuring unit 210 moves the clamping unit 41 of the arm 40 upward to a position where a photographing unit (not shown) of the photographing unit 212 can photograph the reacted film 90. As shown in FIG.11 (c), the measurement part 210 moves the clamping part 41 to the upper direction rather than the stored water or urine containing water, for example.

  The measuring unit 210 photographs the color reaction of the reagent placed on the film 90 by the photographing unit (not shown) of the photographing unit 212 included in the measuring unit 210.

  Next, the configuration of the film 90 constituting the imaging unit 212 and the reagent 70 placed on the film 90 will be described. FIG. 12 is a diagram schematically illustrating an example of the configuration of the film 90 and the reagent 70 that constitute the imaging unit 212. As shown in FIG. 12, the film 90 is formed by using a top film 60 for protecting the surface of the reagent 70 and a support film 80 (for making a support for the reagent) on which the reagent is placed. The film 90 constituting the photographing unit 212 can be configured by sandwiching the reagent with the support film 80. It is conceivable that the top film 60 (1) dissolves the top film 60 at the time of measurement using a water-soluble film, and (2) incorporates a mechanism for peeling the top film 60 into the measurement unit 210 and peels it immediately before the measurement. By (1) or (2), it is possible to protect the reagent until immediately before the measurement and prevent the reagent from being deteriorated. Moreover, without using the top film 60, (3) By making the cartridge 30 film 90 in which the film 90 is stored into a highly confidential structure, the amount of air that the film 90 touches immediately before measurement is reduced as much as possible. It is also possible to prevent the deterioration of the reagent.

  The measurement unit 210 releases the film 90 from the clamping unit 41 (stops clamping the film 90) after the imaging of the reagent color reaction in the imaging unit 212 is completed. Therefore, the film 90 falls into the stored water or the urine-containing water. The film 90 is water-soluble, and dissolves in the stored water or urine-containing water by falling into the stored water or urine-containing water. Further, the film 90 is discarded together with the stored water or the urine-containing water when flushed (when the toilet is flushed with urine or the like). If the tip of the arm 40 has a needle-like shape, after filming of the color reaction is completed, the film 90 is once again moved downward to a position where it is immersed in water or urine-containing water. The characteristic film 90 may be dissolved.

<Data>
Here, in the present embodiment, as an example, an example of the data configuration of various DBs stored in the storage unit 130 will be described with reference to FIG. The various DBs are not limited to the storage unit 130 of the server 100 as a storage destination, and may be the storage unit 250 of the measurement device 200 or the storage unit 330 of the user terminal 300. Further, it goes without saying that the data configuration may be changed as appropriate according to the functional configuration of the server 100, processing contents, and the like.

  First, the toilet information DB is a DB for storing information related to the toilet. For example, as an example, a toilet model number, water amount (water level, mass, volume, etc.), water temperature (water temperature information of the stored water), and washed It includes information such as presence / absence, installation location (latitude / longitude information, address, building name, etc.), use start time (toilet use start time), and the like. In addition, the toilet information DB may be configured to include information (not shown) regarding the toilet environment, such as amount information of the detergent or the like, or component information of the detergent or the like. The toilet information DB holds a record for each toilet. Information associated with the toilet model number (for example, toilet bowl shape information, toilet water volume information, etc.) may be stored in the DB, or may be stored in the DB without using a network system such as the Internet. You may search and acquire.

  Next, the threshold value DB is a DB that stores a threshold value that is a criterion for determining whether the measurement result is positive or negative, normal or abnormal. For example, as an example, the threshold value (absolute) for each measurement item and measurement item (absolute) Reference information as an absolute index for each measurement item), threshold values for each measurement item (for each user) (reference values as a personalized index for each user for each measurement item), and the like.

  Next, the measurement / inspection result DB is a DB that stores measurement results and inspection results for each user. For example, as an example, a user ID (user identification information), measurement items, measurement values, inspection items, inspection results ( (Analysis result, estimation result), measurement date and time (year / month / day, hour / minute / second), and inspection date / time (year / month / day, hour / minute / second) are included.

  Next, the dictionary data DB is a DB that stores dictionary data. For example, the dictionary data DB includes information such as measurement values and inspection results (analysis results and estimation results). The dictionary data DB identifies feature vectors created from measured values as so-called teacher data in machine learning. The dictionary data stored in the dictionary data DB may be defined and stored in a setting file. If the setting file is used, it is considered that the dictionary data reading and updating processing speed is improved as compared to using the DB.

Next, the user DB is a DB that stores information for uniquely identifying a user. For example, as an example, a user ID (alphanumeric information uniquely assigned), a user's name, gender, height, It includes information such as body weight, mass information measured by the measuring device 200, toilet ID of one or more toilets associated with the user.
The data structure of various DBs has been described above.

  Next, a data configuration example of correspondence between measurement / analysis results of the health monitoring system 500 and information such as diseases will be described with reference to FIG. FIG. 14 is a data conceptual diagram showing the association. For example, as an example, the albumin component in urination is used as input information, and the color development of the film reacted with the reagent or the like is measured by the input information using the immunochromatography method using the immunochromatography method. The albumin concentration is analyzed, and it is determined whether or not the corresponding threshold value is exceeded for the analysis result. Based on the determination result, the user estimates whether diabetes is positive or negative.

<Operation>
FIG. 15 is a flowchart illustrating an example of processing executed by the health monitoring system 500.
The storage unit 130 stores the bowl bowl shape information, the amount of stored water information, and the temperature information of the stored water as an initial setting or every time measurement is performed (step S11). The user identification unit 220 identifies the user using the IC card, the user terminal 300, etc. (step S12). In addition, after the said step, the measurement part 212 may once measure the water temperature of a stored water (not shown). The illuminance sensor unit 214 measures the illuminance on the film surface (step S13). The measurement unit 210 starts each measurement when it is transmitted from the user that the measurement start is input manually by the input means provided in the control unit 230 (step S14). Note that this step can be omitted when the electrode unit 211, the imaging unit 212, and the temperature measurement unit 216 automatically start measurement.

  When the measurement starts automatically or manually when the temperature to be measured reaches a certain threshold value, the temperature measurement unit 216 measures the temperature of the stored water or urine-containing water and generates water temperature information (step S15). . When the measurement starts automatically or manually when the measured potential difference reaches a certain threshold, the electrode unit 211 measures the potential difference between the electrodes and generates voltage information (step S16). When the measurement is started automatically or manually, the photographing unit 212 sends out the film so that the sample pad portion of the film is immersed in the urine-containing water, and photographs the RGB luminance signals of the test line and the control line by photographing means such as a camera. (Step S17).

  The temperature measurement unit 216 automatically ends the measurement when the temperature to be measured reaches a certain threshold value, and the electrode unit 211 automatically terminates the measurement when the potential difference to be measured reaches a certain threshold value. (Step S18).

  Based on the shape information, water volume information, water temperature information, etc., the analysis unit 121 analyzes the fluid and analyzes (calculates) the urine volume using the fluid model that models the fluid flowing around the measurement unit 210. (Step S19). When the measured value is the analysis by the electrode method (the electrode method in step S20), the correction unit 122 calculates the dilution degree based on the analyzed urine volume information and the water volume information, and the voltage information based on the dilution degree. Is corrected (step S21). The analysis unit 123 analyzes the urine component based on the voltage information (after correction) (step S22).

  When the measured value is the analysis by the immunochromatography method (the immunochromatography method of step S20), the correction unit 122 calculates the dilution level based on the analyzed urine volume information and the water volume information, and the imaging is performed based on the dilution level. The information is corrected (step S23). In this step, the correction unit 122 may correct the shooting information based on the illuminance information in addition to the dilution level. The analysis unit 123 analyzes the urine component based on the imaging information (after correction) (step S24). The analysis unit 123 creates a feature vector based on the analysis result, and identifies the created feature vector based on training data (dictionary data) (step S25). The estimation unit 124 estimates a user's disease based on the analyzed urination information (for example, analyzed urine component) (step S26).

FIG. 16 is a flowchart illustrating an example of processing executed by the health monitoring system 500.
The memory | storage part 130 memorize | stores the water | moisture-content information containing the amount of water of the stored water for every toilet, and the shape information containing the shape of a toilet bowl (step S31). The user identification unit 220 identifies the user using weight information including the weight of the user measured by the IC card, the user terminal 300, and the pressure sensor 800 (step S32).

  The detection unit 215 detects non-contact electromagnetic waves radiated from the urination of the toilet user or the stored water into which the urination of the toilet user flows (step S33). The detection unit 215 outputs the detected result to the temperature measurement unit 216. The temperature measurement unit 216 measures the temperature of urine or urine-containing water based on the detected electromagnetic wave (step S34). The temperature measurement unit 216 transmits the measurement result to the analysis unit 121. Based on the measured temperature, the analysis unit 121 analyzes the urine volume of urination with a fluid model representing the relationship between the shape information, the urine volume of urination, and the measured temperature of urine or urine-containing water (step S35). . The analysis unit 121 transmits the analyzed result to the estimation unit 124. The estimation unit 124 estimates a user's disease based on the analyzed urine volume (step S36).

<Example 1>
Hereinafter, the present invention will be described more specifically with reference to examples. However, the present invention is not limited to these examples.
Using the health monitoring system 500 shown in FIG. 1 and the like, an attempt was made to analyze the urinary hydrogen ion concentration as a urine component. The system specifications and test conditions are as follows.

(1) Measurement of temperature of stored water and urine-containing water In the health monitoring system according to the present example, temperature measurement was performed by a resistance method (thermistor).
(2) Measurement of potential difference In the health monitoring system according to this example, the potential difference of the current flowing between the electrodes immersed in urine-containing water was measured using the electrode method.
(3) Calculation of urine volume In the health monitoring system according to the present embodiment, the urine volume was calculated based on the measured temperature of the stored water and urine-containing water using the regression equation of the above formula (1). . In the calculation, in this example, the temperature of urine was set at 38 [° C.].
(4) Correction of voltage information based on the degree of dilution In the health monitoring system according to the present embodiment, based on the urine volume calculated in (3) above, the above formula (2) is used to measure in the above (2). The value of the potential difference was corrected.
(5) Analysis of pH Value In the health monitoring system according to the present example, based on the value of the potential difference corrected in the above (4), the pH value was analyzed using the above mathematical formula (3). In the analysis, the values of α and e were set to 0 and analyzed.

<Experiment method>
The experimental method performed in the present example is as follows.
In this experiment, artificial urine was used to prepare a test sample. As shown in Table 1-1 and Table 1-2, 64 artificial urine flows, urine volume and pH values (hydrogen ion concentration (the urine acidity, indicating whether urine is acidic or alkaline)) ) To create a combination (case), each reagent is added to the test solution and mixed, and then the test is performed 15 times for each case using an automatic pump in a Western-style toilet equipped with the health monitoring system of this example. The solution was dropped and the pH value was analyzed by the health monitoring system of this embodiment.

<Experimental result>
FIG. 17 is a diagram illustrating an example of experimental results. In FIG. 11, the horizontal axis is the adjusted pH value in artificial urine, and the vertical axis is the measured value of the urine pH value measured by the health monitoring system according to the present invention. All units are [pH]. From the graph, it can be seen that the adjusted value and the measured value show linear characteristics, and the pH value is correctly calculated. As an approximate value, it was 97.49 [%]. From the experimental results, the effectiveness of the urine component analysis method of the present embodiment was proved.

<Example 2>
As an example different from the first embodiment, the present invention will be described more specifically with reference to the following examples. However, the present invention is not limited to these examples.
Using the health monitoring system 500 shown in FIG. 1 etc., an attempt was made to analyze the concentration of albumin in urine as a urine component. The specifications and test conditions of the equipment are as follows.
(1) Measurement of temperature of stored water and urine-containing water In the health monitoring system according to the present example, temperature measurement was performed by a resistance method (thermistor).
(2) Photographing of color reaction In the health monitoring system according to the present example, the reagent placed on the film is subjected to a color reaction to albumin in urine using an immunochromatography method, and the reaction condition is expressed as an RGB value of color development. Was taken with a camera and read.
(3) Calculation of urine volume In the health monitoring system according to the present embodiment, the urine volume was calculated based on the measured temperature of the stored water and urine-containing water using the regression equation of the above formula (1). . In the calculation, in this example, q _w = 38 was set.
(4) Correction of photographing information based on degree of dilution In the health monitoring system according to the present embodiment, the RGB values read in (2) above were corrected based on the urine volume calculated in (3) above.
(5) Analysis of albumin concentration In the health monitoring system according to the present embodiment, the albumin concentration in urine was analyzed based on the RGB values corrected in (4) above.

<Experiment method>
The experimental method performed in the present example is as follows.
In this experiment, artificial urine was used to prepare a test sample. As shown in Table 2-1 and Table 2-2, each reagent is added to the test solution and mixed to create 64 combinations (cases) of urine flow rate, urine volume, and albumin concentration (mg / L). Thereafter, the test solution was dropped twice in each case using an automatic pump in a Western-style toilet equipped with the health monitoring system of this example, and the albumin concentration was analyzed by the health monitoring system of this example.

<Experimental result>
FIG. 18 is a diagram illustrating an example of experimental results. In FIG. 12, the horizontal axis represents the adjusted albumin concentration in the artificial urine, and the vertical axis represents the measured value of the urine albumin concentration measured by the health monitoring system according to the present invention. All units are [mg / L]. From the graph, it can be seen that the adjusted value and the measured value show linear characteristics, and the albumin concentration is correctly calculated. As an approximate value, it was 97.01 [%]. From the experimental results, the effectiveness of the urine component analysis method of the present embodiment was proved.

(Other)
The health monitoring system according to the present invention can be used as part of telemedicine in conjunction with a medical institution or the like. For example, the user DB stored in the storage unit 130 stores information on the medical institutions, doctors, and the like related to each user. Based on the transmitted data, doctors and the like can remotely perform health examinations, guidance, and the like based on the transmitted data.

In addition, the health monitoring system according to the present invention is similarly used by a doctor, a pharmacist, a pharmaceutical company, etc. to remotely monitor medication (whether the prescribed drug is applied) or check drug metabolism (check whether the prescribed drug is effective). ), Can also be used for services such as delivery of medicines prescribed by the pharmacy according to the health condition and doctor's prescription, health check of family members in the distance. The health monitoring system according to the present invention cooperates with the system of a pharmaceutical company or health insurance association, and the health monitoring system according to the present invention uses time-series vital data generated from measurement / test result information stored in the storage unit 130. It can also be used for data marketing business. Similarly, vital data can also be used to simulate how healthcare costs can be reduced in conjunction with insurance company and health insurance association systems.

In addition, by combining the generated vital data with daily life logs recorded by a wearable device linked to the health monitoring system, it can be used for a service that provides more specific health and beauty advice. In addition, by linking vital data and life logs, it can be used for modeling what kind of health a person will live in.

For example, when linking to a life log relating to a meal, a missing nutrient or the like is extracted from vital data, the extracted nutrient is displayed on the display unit 330 of the user terminal 300, and a meal menu (ingested based on the extracted nutrient is also displayed. Food ingredients such as vegetables to be included) and supplements may be displayed on the display unit 330 of the user terminal 300 and suggested. Similarly, vital data can be classified into types, and supplements for supplementing nutrients that are deficient in the body can be proposed for each type. The service can be applied not only to general households and individuals but also to health management such as athletes. Similarly, in terms of beauty, personalized cosmetics can be proposed especially to users who are expected to have problems with their skin and hair.

In addition, the health monitoring system according to the present invention can be used for modeling, for example, what kind of genome human beings live in what kind of health state by linking genome analysis results in addition to vital data and life logs. it can.

Furthermore, these modeling information provides insurance companies with information on their health condition predicted by the modeling, and the insurance companies, etc. as information when considering and determining enrollment and insurance premiums based on the forecast information Can be used.

Each functional unit of the server 100, the measuring apparatus 200, and the user terminal 300 may be realized by a logic circuit (hardware) or a dedicated circuit formed in an integrated circuit (IC (Integrated Circuit) chip, LSI (LargeScale Integration)) or the like. However, it may be realized by software using a CPU (Central Processing Unit) and a memory. Each functional unit may be realized by one or a plurality of integrated circuits, and the functions of the plurality of functional units may be realized by a single integrated circuit. An LSI may be called a VLSI, a super LSI, an ultra LSI, or the like depending on the degree of integration. Here, the “circuit” may include the meaning of digital processing by a computer, that is, functional processing by software. The circuit may be realized by a reconfigurable circuit (for example, FPGA: Field ProgrammableGateArray).

When the function units of the server 100, the measurement device 200, and the user terminal 300 are realized by software, the function units of the server 100, the measurement device 200, or the user terminal 300 are included in a display information generation program that is software that realizes each function. The CPU for executing instructions, the health monitoring program and the ROM (ReadOnlyMemory) or storage device (referred to as “recording medium”) in which various data are recorded so as to be readable by a computer (or CPU), and the health monitoring program are expanded. RAM (Random Access Memory) and the like. Then, the computer (or CPU) reads the health monitoring program from the recording medium and executes it to achieve the object of the present invention. As the recording medium, a “non-temporary tangible medium” such as a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used. The health monitoring program may be supplied to the computer via any transmission medium (such as a communication network or a broadcast wave) that can transmit the health monitoring program. The present invention can also be realized in the form of a data signal embedded in a carrier wave, in which the health monitoring program is embodied by electronic transmission.

The health monitoring program can be implemented using, for example, a script language such as ActionScript or JavaScript (registered trademark), an object-oriented programming language such as Objective-C or Java (registered trademark), or a markup language such as HTML5. .

100 server 110 communication unit 120 control unit 130 storage unit 200 measuring device 210 measuring unit (measuring device)
220 User identification unit (measuring device)
230 control unit (measuring device)
240 communication unit (measuring device)
250 storage unit (measuring device)
300 user terminal 310 communication unit (user terminal)
320 control unit (user terminal)
330 display unit (user terminal)
340 storage unit (user terminal)

Claims (14)

A storage unit for storing shape information for each toilet and information on the amount of stored water;
A non-contact detection unit that detects electromagnetic waves emitted from the urination of the toilet user or the stored water into which the urination of the toilet user flows;
Based on the detected electromagnetic wave, a temperature measuring unit that measures the temperature of the urine or the accumulated water into which the urine flows,
Based on the measured temperature, an analysis unit that analyzes the urine volume of urination with a fluid model that represents the relationship between the shape information, urine volume of urination, and the measured temperature;
Based on urination information including the analyzed urine volume, an estimation unit that estimates the user's disease,
Health monitoring system with The detector is
Detecting temperatures of a plurality of points arranged two-dimensionally based on the shape information
The health monitoring system according to claim 1. The temperature measurement unit acquires a temperature distribution based on the temperatures detected at the plurality of points,
Analyzing the urine volume or urine flow rate of urination based on the acquired temperature distribution and the prediction model;
The health monitoring system according to claim 1 or 2. The health monitoring system includes:
A human detection unit for detecting whether or not there is a person in the private room where the toilet is installed;
The detection unit is configured to enable detection of the electromagnetic wave based on detection based on detection of the presence of a person by the human detection unit;
The health monitoring system according to any one of claims 1 to 3. An electrode unit for measuring a potential difference in the urine or the stored water into which the urine flows,
A correction unit that corrects the measured potential difference based on the water volume information and the analyzed urine volume;
An analysis unit for analyzing a urine component of the urination based on the corrected potential difference;
The health monitoring system according to claim 1, wherein the estimation unit estimates a disease of the user based on the analyzed urine component. The electrode unit measures a potential difference between two electrodes immersed in the stored water or the stored water into which the urine flows;
The health monitoring system according to claim 5. A film color-reactive with the component to be detected;
An imaging unit that shoots the film after immersing the film in stored water and generates shooting information;
A correction unit that corrects the imaging information based on the water amount information and the analyzed urine amount;
An analysis unit that analyzes the urine component of the urination based on the corrected imaging information;
The health monitoring system according to any one of claims 1 to 3, wherein the estimation unit estimates a disease of the user based on the analyzed urine component. An illuminance sensor unit that measures illuminance
The storage unit stores illuminance information for each toilet,
The correction unit corrects the shooting information based on the illuminance information;
The health monitoring system according to claim 7. The estimation unit creates a feature vector from the imaging information, identifies the feature vector by training data, and estimates a disease based on the identified feature vector;
The health monitoring system according to claim 7 or 8, wherein The health monitoring system includes:
A user identification unit for identifying the user based on user identification information output from a terminal or IC card owned by the user;
The estimation unit estimates a disease for each user based on the identification result;
The health monitoring system according to any one of claims 1 to 9. The user identification unit is
A measuring unit that measures the weight of the user received by the toilet seat of the toilet when the user uses the toilet seat and generates weight information;
The user identification unit identifies a user based on the weight information;
The health monitoring system according to claim 9. The measurement unit includes a cartridge for storing the film, and pushes out the film used for the measurement from the cartridge each time the film is photographed.
The health monitoring system according to claim 5. A storage step for storing shape information for each toilet and information on the amount of stored water;
A non-contact detection step for detecting electromagnetic waves emitted from the urination of the toilet user or the stored water into which the urination of the toilet user flows;
A temperature measuring step for measuring a temperature of the urine or the stored water based on the detected electromagnetic wave;
Based on the measured temperature, an analysis step for analyzing the urine volume with a fluid model representing the relationship between the shape information, urine volume, and the measured temperature;
Based on the urination information including the analyzed urine volume, an estimation step of estimating the user's disease,
A health monitoring method comprising: A program for controlling a computer,
A storage function for storing shape information for each toilet and water volume information,
A non-contact detection function to detect electromagnetic waves emitted from urination of toilet users or urine of toilet users;
A temperature measuring function for measuring the temperature of the urine or the stored water based on the detected electromagnetic wave;
Based on the measured temperature, an analysis function for analyzing the urine volume with a fluid model representing the relationship between the shape information, the urine volume, and the measured temperature;
Based on the urination information including the analyzed urine volume, an estimation function for estimating the user's disease,
Health monitoring program with

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