JP2021018211A - Health monitoring system, health monitoring method, and health monitoring program - Google Patents

Abstract

To provide a health monitoring system that can easily analyze urination information and that can estimate disease.SOLUTION: A health monitoring system according to the present invention comprises: a measuring section that has at least two electrodes which measure a potential difference being generated when urination of a user of a urinal is applied, and that generates voltage information indicating a change in potential difference; an analyzing section that analyzes a urine component on the basis of the voltage information by machine learning using a component analytical model in which a relationship between the voltage information generated by the measuring section and urine component information indicating the urine component included in urine in measuring the voltage information is learned multiple times; and an estimating section that estimates a disease of the user on the basis of the analyzed urine component.SELECTED DRAWING: Figure 3

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, which are installed in a urinal to analyze urination and estimate a disease.

In response to the growing health consciousness in recent years, there are many services that analyze the state of urine (amount and components), monitor the state of health, and give advice. When there is a physical abnormality, the urine condition is also likely to change, and it is effective to monitor the urine condition on a regular basis in order to detect the physical abnormality.

As such a urine analysis technique, for example, in Patent Document 1, the actually measured concentration of a specific component in one urine of a person and the measured concentration of a specific component in the whole urine per day are defined. The data showing the correlation between the two is stored, and the concentration of the specific component in the whole urine of the person to be measured in one day is converted and obtained by using the correlation. A urine information measuring device for calculating the amount of excretion of a specific component in the whole urine in one day is disclosed.

Further, Patent Document 2 includes a urine information measuring device for calculating urine volume and urine flow rate by a bowl of a toilet bowl for storing urine and a 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 the urination volume and urine flow rate based on each water level or water level change rate at the start or end of urination, and applies a predetermined vibration model to the calculated data to perform a particle filter. Urination information was calculated by processing by.

Japanese Unexamined Patent Publication No. 2013-36817 Japanese Unexamined Patent Publication No. 2013-90748

However, in the invention described in Patent Document 1, it is composed of a large housing and a sensor unit, and the housing must be grasped by the hand of the person to be measured and the sensor unit must be sprinkled with urine excreted by the person to be measured. The usability was not always sufficient.

Further, also in the invention described in Patent Document 2, as a means for measuring the volume and weight of urine stored in the bowl of the toilet bowl, the water level data of the accumulated water in the bowl is used, or the sewage pressure measurement of the sewage pipe is used. It was impossible to apply it to the existing toilet bowl because it uses the elements that make up the toilet bowl. Therefore, the urination information measuring device described in Patent Document 2 lacks versatility and is not always sufficiently easy to use.

Therefore, an object of the present invention is to provide a simple and easy-to-use health monitoring system, health monitoring method, and health monitoring program for analysis of urination such as urine component analysis and estimation of diseases based on the analysis results. ..

The health monitoring system according to the present invention has at least two electrodes for measuring the potential difference generated when the user of the urine device urinates, and has a measuring unit and a measuring unit that generate voltage information indicating a change in the potential difference. Based on the voltage information by machine learning using a component analysis model that learned the relationship between the voltage information generated by and the urine component information indicating the urine component contained in the urine when the voltage information was measured multiple times. It is provided with an analysis unit that analyzes the urine component and a estimation unit that estimates the user's disease based on the analyzed urine component.

Further, a correction unit that corrects the voltage information based on the elapsed time since the measurement unit is installed on the toilet bowl may be provided.

Further, the correction unit has a preset accuracy correction amount based on the measurement accuracy of the electrode that deteriorates with the lapse of a predetermined time, and an environmental correction amount preset based on the environment in which the measurement unit is installed. The voltage information may be corrected using at least one of them.

Further, the measuring unit may recognize the start or end of urination when the voltage information changes over a set predetermined threshold value.

In addition, it is equipped with a temperature measuring unit that measures the temperature of urine and generates temperature information indicating changes in the temperature of urine, and the analysis unit corresponds to a plurality of temperature information generated by the temperature measuring unit and each of the plurality of temperature information. The urine volume may be calculated based on the temperature information by machine learning using a urine volume estimation model that has learned the relationship between the urine volume and the urine volume.

Further, the measuring unit includes a measuring unit main body having a built-in electrode, and the measuring unit main body is arranged in front of the mounting portion to be mounted on the wall surface of the urinal and the wall surface facing the mounting portion to cover the electrodes. A cover is provided, and the cover may have a shape in which a central portion in the left-right direction projects forward, and the cover may have an opening connected to an electrode.

Further, the opening may be formed at the lower end of the cover, which is located below the cover while being attached to the wall surface, so as to penetrate the cover in the front-rear direction.

Further, each of the left and right edge portions of the cover may be formed with a guide surface formed by a curved surface extending in the vertical direction and smoothly continuing toward the opening.

Further, the measuring unit is provided with a measuring unit main body having a built-in electrode, and the measuring unit main body has a circular shape in a plan view and is arranged in place of the urinal eye plate and above the main body base. A main body cover that is arranged, has a circular shape in a plan view, and covers an electrode, and the main body cover may have a semi-elliptical shape in which a portion located at the center in a plan view is raised upward. ..

In addition, the base of the main body is provided with a storage portion that projects downward from a portion located in the central portion in a plan view, and the storage portion is provided with a discharge port for discharging urine stored inside so as to be openable and closable for analysis. The unit may calculate the urine volume based on the number of times the outlet is opened and closed and the storage capacity of the storage unit.

Further, a filling portion filled with a chemical agent may be formed inside the main body cover.

Further, in the health monitoring method according to the present invention, a measurement step in which a computer has at least two electrodes for measuring a potential difference when a user urinates in a urine device and generates voltage information indicating a change in the potential difference. By machine learning using a component analysis model in which the relationship between the voltage information generated in the measurement step and the urine component information indicating the urine component contained in the urine when the voltage information is measured is learned multiple times. An analysis step of analyzing the urine component based on the voltage information and a guess step of estimating the user's disease based on the analyzed urine component are performed.

Further, the health monitoring program according to the present invention has a measurement function in which the computer has at least two electrodes for measuring the potential difference when the user urinates in the urine device and generates voltage information indicating the change in the potential difference. By machine learning using a component analysis model in which the relationship between the voltage information generated by the measurement function and the urine component information indicating the urine component contained in the urine when the voltage information is measured is learned multiple times. It realizes an analysis function that analyzes urine components based on voltage information and a guess function that estimates a user's disease based on the analyzed urine components.

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

It is a system diagram which shows an example of the structure of a health monitoring system. It is a block diagram which shows an example of the structure of embodiment of the health monitoring system. It is an external view of the health monitoring system which concerns on 1st structural example. It is (a) perspective view and (b) plan view in the measuring part shown in FIG. It is a side view of the measuring part shown in FIG. It is sectional drawing which shows the internal structure of the measuring part shown in FIG. It is an external view of the health monitoring system which concerns on the 2nd structural example. It is an external view of the measuring part shown in FIG. It is a figure which shows the internal structure of the measuring part shown in FIG. It is a data conceptual diagram which shows the data structure example of the database which a health monitoring system stores. It is a flowchart which shows an example of the process which a health monitoring system executes. It is a data conceptual diagram which shows an example of the data structure of the correspondence between the measurement / analysis result of a health monitoring system and the information such as a disease.

Hereinafter, one 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 500 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. The server 100 is connected to the measuring device 200 and the user terminal 300 via the network 400.
In FIG. 1, only one server 100, one measuring device 200, and one user terminal 300 are shown for the sake of simplicity, but it goes without saying that there may be more than one.

Further, the specific device of the user terminal 300 is not limited to a smartphone as shown in the figure, and may be, for example, a mobile terminal, a tablet terminal, a personal computer, or other electronic device.
Furthermore, the system may use a cloud service (including both public cloud and private cloud), or may provide a service for health monitoring by physically sharing or providing a dedicated server in the target facility. Good.

The user terminal 300 is equipped with an application (hereinafter referred to as a "health monitoring application") for displaying health status monitoring results (including analysis results and estimation results) which is a part of the health monitoring system 500 according to the embodiment of the present invention. doing.
As shown in FIG. 3, the display of the health monitoring application on the user terminal 300 can be viewed to check one's own health condition.

As an example, in the health monitoring system 500, as shown in FIG. 3, the measuring unit of the measuring device 200 is installed in an existing urinal, and the urination information regarding the urination of the urinal user on the measuring unit is measured and the server. Based on the measured urination information at 100, the user's disease is estimated.
Here, "urination information" refers to various information regarding urination of the user, and may be configured to include urine volume, urine temperature, urine component, etc. of urination.

That is, the health monitoring system 500 can determine signs of illness, positive / negative, etc., for example, while at home or at work, and the user simply performs normal urination.
This will provide a simple, easy-to-use and highly sustainable health monitoring service. Here, a sign of a disease refers to a feature that is not yet affected by the disease, but is predicted to be affected by the disease as the symptoms progress. The positive / negative of a disease refers to the judgment of whether the disease is present (positive) or not (negative).

Further, the health monitoring system 500 is not limited to application to homes and workplaces, and can also be used for patient health management in nursing care facilities and hospitals, and can reduce risks on the management side.
In this example, an example using the cloud computing format is shown, but the present invention is not limited to this, and for example, the health monitoring system 500 may be configured by the measuring device 200 alone or the measuring device 200 and the user terminal 300. .. That is, the measuring device 200 or the user terminal 300 may have the function of the server 100.

In the following explanation, an example of a service using a cloud service is shown, but a cloud doctor service using artificial intelligence (for example, by deep learning or machine learning) (for example, the health condition of a patient over a network) It can also be used for medical treatment of children's physical condition) and cloud mother services (for example, services for monitoring the health condition and physical condition of children over a network).

<Composition>
Hereinafter, the configurations of the server 100, the measuring device 200, and the user terminal 300 will be described. FIG. 2 is a block diagram showing an example of the functional configurations of the server 100, the measuring device 200, and the user terminal 300.
The arrangement of each part may be appropriately changed between the server 100, the measuring device 200, and the user terminal 300 according to the operating environment and the situation of each device. For example, the correction unit 122, the analysis unit 123, and the guessing unit 124 of the server 100 may be arranged in the control unit 230 of the measuring device 200, or may be arranged in the control unit 320 of the user terminal 300. As shown in FIG. 2, 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 composed of a server (relay server) installed in the facility and a specific area including a plurality of facilities or a server including all the areas. ..
The timing at which the relay server transmits predetermined information is as follows: (1) periodically (for example, at regular intervals determined in consideration of the capacity of the storage unit 130), and (2) the storage capacity of the storage unit 250. It is also possible to set a threshold value in and set the timing to transmit when the threshold value is reached. The timing of transmission may be any timing and is not limited to these examples.

The communication unit 110 includes a reception unit 111 and a transmission unit 112, and has a function of executing communication with the measuring device 200 and the user terminal 300 via the network 400. The communication may be 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 or the like from each measuring device 200 and each user terminal 300 and transmitting the measured data to the control unit 120 under the control of the control unit 120 via the network 400. Specifically, the receiving unit 111 receives the voltage information and the user identification information that identifies the user, and transmits the voltage information to the control unit 120.

The transmission unit 112 has a function of transmitting control data and the like to each measuring device 200 and monitoring result data and the like to each user terminal 300 under the control of the control unit 120 via the network 400.
Specifically, for example, the transmission unit 112 can store user information (for example, ID information) stored in the storage unit 130 for controlling the user identification unit 220, measure the measurement unit 210, and identify the user identification unit 220. The dynamic parameter data and the like required for the above are transmitted to the measuring device 200. User information refers to information that can identify the user who urinates.
In addition, the transmission unit 112 transmits display data representing monitoring results such as an analysis result related to the analyzed urine component and a guess result related to the positive and negative of the estimated disease to the user terminal 300.

The control unit 120 is a processor that includes a correction unit 122, an analysis unit 123, and a guessing unit 124, and has a function of controlling each unit of the server 100.
Further, when the analysis result is transmitted from the analysis unit 123, the control unit 120 generates display data for displaying as text, a table, or a graph on the display unit 330 of the user terminal 300.
Further, when the estimation result is transmitted from the estimation unit 124, the control unit 120 generates display data for displaying as text, a table, or a graph on the display unit 330 of the user terminal 300.
The control unit 120 transmits the generated display data to the transmission unit 112 in order to transmit it to the user terminal 300.

The correction unit 122 corrects the voltage information based on the elapsed time since the measuring device 200 was installed on the toilet bowl.
The electrode unit 211 and the temperature measuring unit 212 included in the measuring unit 210 of the measuring device 200 may deteriorate in measurement accuracy with the passage of time. For example, the electrode unit 211 measures the potential difference between two electrodes on which urination is applied, but the accuracy of the measured potential difference deteriorates with the passage of time. Therefore, the correction unit 122 corrects the potential difference measured by the electrode unit 211 based on the elapsed time since the electrode unit 211 was installed on the toilet bowl.

The correction amount when the correction unit 122 corrects based on the elapsed time may be set in advance. The correction unit 122 corrects the measurement result (for example, voltage information) based on the elapsed time from when the measurement unit 210 is set on the toilet bowl, based on the correction amount set in advance.
For example, the correction unit 122 corrects the potential difference measured by the electrode unit 211 by using a preset accuracy correction amount based on the measurement accuracy of the electrode that deteriorates with the passage of a predetermined time.
Further, the correction unit 122 may correct the potential difference measured by the electrode unit 211 based on a preset environmental correction amount depending on the environment in which the measurement unit 210 is installed, or the accuracy correction amount and the environmental correction amount. The correction may be performed using both of and.

For example, the correction unit 122 creates a correction model for correcting the measurement result (for example, voltage information) based on the area where the measurement unit 210 is installed.
The correction model created by the correction unit 122 is not necessarily limited to the area and shape information, and may be created based on various information such as the frequency of use of the toilet bowl and the usage environment. Here, the usage environment means the water quality used for the urinal, the content of the chemical solution, the shape of the urinal, the aged deterioration due to the use of the urinal and the measuring unit 210, and the like.

Further, the correction unit 122 may create a correction model based on the past history of the deterioration over time of the measurement unit 210. For example, the correction unit 122 calculates the average value of the deterioration over time of the plurality of measurement units 210 based on the past history of the deterioration over time of the plurality of measurement units 210, and creates a correction model based on the average value. You may.
Then, the correction unit 122 corrects the measurement result measured by the measurement unit 210 based on the created correction model.

Here, even if the measuring unit 210 is used in the same area, the deterioration over time differs from each other depending on the frequency of use of the toilet bowl, the usage environment, the device difference between the measuring devices 200, and the like. There is.
For example, the deterioration of the measuring unit 210 of one measuring device 200 with time may be slower (or faster) than the deterioration of the measuring unit 210 of the other measuring device 200 with time. Therefore, if the measurement results are corrected for a plurality of measuring devices 200 by using the same correction model, the measurement results may be excessively corrected, or the correction amount for the correction of the measurement results may be reduced. There is. Therefore, it is desirable to separately provide a correction model for each measuring device 200.

The analysis unit 123 has a function of analyzing the urine component based on the voltage information or the 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 (corrected).

The analysis unit 123 used a component analysis model in which the relationship between the voltage information generated by the measurement unit 210 and the urine component information indicating the urine component contained in the urine when the voltage information was measured was learned a plurality of times. Urine components are analyzed based on voltage information by machine learning.
As the component analysis model, a neutral network (perceptron) such as LSTM (Long short-term memory), SVM (support Vector Machine), or the like can be used. Moreover, other learning models may be used.

Further, the analysis unit 123 performs temperature information by machine learning using a urine volume estimation model that has learned the relationship between a plurality of temperature information generated by the temperature measurement unit 212 and the urine volume corresponding to each of the plurality of temperature information. The urine volume is calculated based on.
As the urine volume estimation model, a neutral network (perceptron) such as LSTM (Long short-term memory), SVM (support Vector Machine), or the like can be used. Moreover, other learning models may be used.
The analysis unit 123 can also analyze the ph value. Then, the analysis unit 123 transmits the analysis result to the control unit 120 in order to generate display data for displaying the analysis result on the user terminal 300.

The guessing unit 124 has a function of guessing a user's disease based on the analyzed urination information of urination. Specifically, the guessing 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. 12, the urinary glucose level is calculated by analyzing the concentration of glucose in urine, and it is estimated whether diabetes is positive or negative.

In addition, the guessing unit 124 may guess the distortion of the lifestyle based on the analyzed urination information of urination. The guessing unit 124 may guess, for example, the bias of eating habits and the ups and downs (undulations) of stress as lifestyle distortions. The distortion of lifestyle is not limited to these examples, and may be any kind.
Further, FIG. 12 shows the measurement results of the other measurement units 210 or the analysis unit 123 (referred to as “measurement / analysis results”), and information such as diseases and lifestyle-related distortions estimated from the measurement / analysis results. An example of associating with is shown. In estimating the estimation unit 124, the estimation described in the example of the association may be included from the components extracted based on the analysis result. Further, the estimation unit 124 transmits the estimation result to the control unit 120 in order to generate display data for displaying the estimation result on the user terminal 300.

In the estimation by the estimation unit 124, (1) estimation by threshold value and (2) estimation by machine learning can be used. As an example, in the estimation of (1), the guessing unit 124 compares the measurement result with a plurality of threshold values stored in the storage unit 130, and is, for example, normal (or negative) if it is within the plurality of threshold values. If it exceeds, it is judged as abnormal (or positive) and the disease is inferred. If there is only one threshold value, the disease is estimated by comparing the magnitude with the threshold value.
In the estimation of (2), the feature amount of the measurement result is extracted, and the feature vector is created based on the feature amount. The created feature vector is data created by using a set of dictionary data (measured value and test result (result of positive or negative of disease based on analysis result and estimation result) associated with the measured value) in multiple cases. , Data used as training data (teacher data) in machine learning) is used as a reference, and the disease is inferred from the identification result.
As the machine learning technique, a neutral network (perceptron) such as LSTM (Long short-term memory), SVM, or the like may be used. As a result, the estimation accuracy of the estimation unit 124 can be improved by the learning effect of machine learning.

The storage unit 130 has a function of storing various programs, data, and parameters required for the server 100 to operate.
Specifically, for example, the storage unit 130 stores urination information, weight information, user identification information, and parameters necessary for the operation of the communication unit 110, the control unit 120, and the storage unit 130.

As an example, the storage unit 130 stores information necessary for analysis, analysis, and the like, measurement results, and inspection results (analysis results, guess results) in various databases (hereinafter referred to as "DB"). And remember.
The data storage and management method is not limited to the DB, and may be saved and stored in various setting files (hereinafter referred to as "setting files") such as definition files, parameter files, and temporary files. 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 device 200 will be described.
As shown in FIG. 2, the measuring device 200 includes a measuring unit 210, a user identification unit 220, a control unit 230, a communication unit 240, and a storage unit 250. In addition, each part of the measuring device 200 can be arranged in a plurality of devices.

The measuring unit 210 has at least two electrodes for measuring the potential difference generated when the urinal user urinates, and generates voltage information indicating the change in the potential difference. When generating the voltage information, the acquired voltage waveform data may be smoothed by using a Savitzky-Golay filter, a general moving average, a median filter, or the like to extract the feature amount.

The measuring unit 210 includes an electrode unit 211 having two electrodes and a temperature measuring unit 212. The measuring unit 210 is attached to the wall surface of the urinal, for example, as shown in FIG.
When the user notifies that the measurement start is input by the input means provided in the control unit 230, the measurement unit 210 causes the electrode unit 211 and the temperature measurement unit 212 to start each measurement by using the transmission as a trigger. be able to.

The measuring unit 210 uses the measuring unit 210 when at least one of the temperature information generated by the temperature measuring unit 212 and the voltage information (for example, the potential difference) generated by the electrode unit 211 changes over a predetermined threshold value. It is also possible to automatically start or end each measurement of each component. Here, as a predetermined threshold value, a plurality of threshold values may be set, such as a first threshold value corresponding to the start and a second threshold value corresponding to the end.

As a result, the user can start the measurement in the normal urination action without performing the start or end selection operation each time the measurement is started or finished, and can provide the easy-to-use measuring device 200. ..

Further, the measurement unit 210 may automatically start the measurement when the user identification unit 220 completes the user identification process. Further, the measurement unit 210 may set a threshold value for each measurement item and end the measurement triggered by the acquisition of data reaching the threshold value.
Further, the measurement unit 210 may manually start or end the measurement by inputting an operation from the display unit 330 of the user terminal 300. Further, a motion sensor (not shown) is provided in the measuring device 200, and the measurement is started by detecting the sign of a person by the sensing of the motion sensor, or it is detected that the sign of a person has disappeared. The measurement may be terminated by triggering what has been done. As the motion sensor, an infrared sensor or an ultrasonic sensor can be used, but the human sensor is not limited thereto.

The electrode unit 211 uses two or more electrodes to measure the electromotive force (potential difference, voltage value) due to the electrolyte and the current value flowing between the electrodes when urination is applied to a specific component in urine, which is an electrolyte. It also has the function of generating voltage information.
Specifically, for example, the electrode unit 211 is composed of two or more electrodes, a potentiometer, and an ammeter in order to measure the concentration of a specific component in urine.

By using one of the electrode portions 211 as a reference electrode and another electrode as an action electrode, urine is applied to these electrodes and responds to the concentration (activity) of the urine component for analysis of the urine-containing water. The difference in electromotive force between the working electrode and the reference electrode is measured with a potential difference meter.
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 generated voltage information to the server 100.

Here, "voltage information" refers to information related to electromotive force (potential difference, voltage value) generated by a specific component (electrolyte) in urine generated by using the electrode of the electrode portion 211. Although an example using the ion-selective electrode method is shown, an enzyme electrode method (GOD (Glucose OxiDase)) may be used, or an electrode as a counter electrode is added and an electrode method using three poles is used. You may.
This makes it possible to measure the concentration of a specific component in urine based on the 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 the hydrogen ion concentration as a characteristic component in urine can be expressed by the following equation (1). Normally, pH _i ≈ 7, where α specifies sensitivity and e specifies asymmetric potential. For example, in an ideal electrode having a water temperature of 25 ° C., α = 1 and e = 0.

The temperature measuring unit 212 has a function of measuring the temperature of urination and generating temperature information indicating a change in the temperature of urination. The temperature measuring unit 212 includes, for example, a thermistor, an oscillator, and a counter.
The thermistor outputs the change in resistance value due to the temperature change, the change in resistance value is converted into frequency by the oscillator, and the counter measures the frequency to measure the temperature. The water temperature information is transmitted to the transmission unit 242 via the control unit 230 in order to transmit the water temperature information to the server 100.

The user identification unit 220 has a function of identifying a target user to be monitored by the health monitoring system 500 using a toilet bowl.
The user identification unit 220 may be, for example, connected to the measurement unit 210 by a wire such as a cable, and may be provided with a suction means for a pottery device such as a tank so as to be provided in a tank for storing wash water. Mounting means may be provided.

Specifically, for example, the user identification unit 220 uniquely identifies the user (for example, QR code (registered trademark)) output by the health monitoring application mounted on the user terminal 300 owned by the user. Information that identifies the user is hereinafter referred to as "user identification information"), magnetic information that uniquely identifies the user of the IC (Integrated Circuit) card owned by the user, WiMAX (Worldwide Interoperability for Microwave Access), etc. Receives, reads, and uses information that uniquely identifies users such as wireless LAN (Local Area Network) such as WiFi (Wireless Fidelity) and Bluetooth (registered trademark) (for example, received signal strength information, radio wave reception strength information, etc.) Identify the person. The user identification unit 220 may use biometric authentication such as a face or fingerprint.

As a result, the user can be automatically identified by simply holding the user terminal 300 or the IC card over the user identification unit 220.
In addition, the user identification unit 220 can automatically identify the network and, by extension, identify that it belongs to a specific institution (for example, a company, a hospital, a school, etc.).
In this way, each time the user uses the toilet bowl, the information for identifying the user and the information for identifying the specific institution can be easily identified without inputting the operation.

Further, the user identification unit 220 may be configured to include the measurement unit 221. For example, the measuring unit 221 measures the weight (Kg weight) of the user received by the toilet seat in the case of a Western-style toilet bowl, and stores the measured weight information for each user (hereinafter referred to as "weight information") in the storage unit 250. Remember in.
The user identification unit 220 identifies the user based on the weight information and generates the user identification information. In addition, the user identification unit 220 includes a face recognition sensor for face recognition, a posture detection sensor for posture detection, a pulse measuring means for measuring the user's pulse, and a blood pressure measuring means for the user. The user may be identified by measuring the body fat ratio of the user with the blood pressure measuring and the body fat ratio measuring means and measuring the muscle mass of the user with the muscle mass measuring means.

Further, the user identification unit 220 may be provided with an infrared sensor to estimate the height of the user and identify the user based on the estimated height. The height of the user is not limited to the infrared sensor, and any sensor may be used as long as the height can be estimated.
Further, the user identification unit 220 may include an infrared sensor to measure the operation pattern of the user, identify the user from the measured operation pattern, and generate the user identification information.

For example, the user identification unit 220 may determine whether or not the measured operation pattern includes a characteristic operation pattern for each user, and identify the user based on the determination result. It should be noted that the measurement of the user's operation pattern is not limited to the infrared sensor, and any sensor may be used.

In addition, the user identification unit 220 identifies the user based on a plurality of measured measurement results (at least 2 or more such as weight, face, posture, pulse, blood pressure, body fat percentage, muscle mass, height, movement pattern, etc.). You may.
Further, the information about the user that can be measured by the user identification unit 220 is not limited to these examples, and may be any information, and the user identification unit 220 is based on the measured information about the user. It is possible to automatically identify the user.

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

The control unit 230 is a processor having a function of controlling each unit of the measuring device 200. In addition, the control unit 230 can be provided with an input means that allows the user to manually select the start of each measurement related to urination (not shown).
The control unit 230 transmits to the measurement unit 210 that the measurement start has been input by the input means.

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 300 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), and if mutual communication can be executed, any Communication protocol may be used.

The receiving unit 241 has a function of receiving control data or the like from each server 100 and each user terminal 300 and transmitting the control data or the like to the control unit 120 under the control of the control unit 230 via the network 400.
Specifically, the receiving unit 241 stores user information (for example, ID information) stored in the storage unit 130 for controlling the user identification unit 220 from the server 100, the measurement of the measuring unit 210, and the user identification unit 220. It receives dynamic parameter data and the like necessary for identification and transmits them 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 under the control of the control unit 230 via the network 400. Specifically, for example, the transmission unit 242 transmits water temperature information, voltage information, and user identification information (including measurement information) to the server 100 or each user terminal 300.
The transmission timing of the transmission unit 242 is (1) immediately after the measurement (for example, triggered by the transmission of the measurement data from the measurement unit 210), and (2) periodically (for example, of the user). The transmission timing may be set at regular intervals determined in consideration of the daily rhythm, the capacity of the storage unit 250, etc.), (3) a threshold value is set for the storage capacity of the storage unit 250, and the threshold value is reached. ..

The storage unit 250 has a function of storing various programs, data, and parameters required for the measuring device 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 device 200.

Next, the configuration of the user terminal 300 will be described.
As shown in FIG. 2, the user terminal 300 includes a communication unit 310, a control unit 320, a display unit 330, and a storage unit 340. Each part 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 measuring device 200 via the network 400. The communication may be 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 or the like from each server 100 and each measuring device 200 and transmitting the display data or the like to the control unit 320 under the control of the control unit 320 via the network 400.
Specifically, the receiving unit 311 receives, for example, display information including a urine test result from the server 100, and stores user information (for example, ID information) in the storage unit 130 for controlling the user identification unit 220. Etc.), the dynamic parameter data required for the measurement of the measuring unit 210 and the identification of the user identification unit 220, etc. are received and transmitted to the control unit 230.

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

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

The display unit 330 has a function of displaying display data or the like received from the server 100 or the measuring device 200. Specifically, for example, as shown in FIG. 3, the display unit 330 shows the measured value of urination measured, the measurement result of whether it is normal or abnormal, the analysis result of the analyzed urine component, and the estimated disease. Display data representing monitoring results such as estimation results such as positive or negative is displayed using text, a table, a graph, or the like.
The result may be displayed in display units specified by the user, such as daily, weekly, and monthly. Further, the display unit 330 may be provided with an input means for the user to input user identification information (for example, name, age, gender, height, weight, etc.).

The storage unit 340 has a function of storing various programs, data, and parameters required for the user terminal 300 to operate. Specifically, for example, the storage unit 340 stores user identification information and parameters necessary for the operation 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.

(Example of first structure)
Next, the health monitoring system 500 according to the first structural example will be described with reference to FIG. FIG. 3 is an external view of the health monitoring system 500 according to the first structural example.
As shown in FIG. 3, the measuring unit 210 of the measuring device 200 is fixed to the wall surface of the urinal and other parts that do not need to be installed in the urinal (for example, the user identification unit 220, the control unit 230, and the communication unit). 240) may be placed in another device, for example, the device may be installed in a tank.

The device on which the user identification unit 220 is arranged can be arranged at a position where the user terminal 300 or the like can hold the QR code information output by the user terminal 300 owned by the user and the information output by the IC card so that the device can read the QR code information. It is preferably a device.
As a result, the user can be identified and measured without inputting the user identification information into the measuring device 200 each time the user uses it.

Next, the configuration of the measuring unit 210 according to the present embodiment will be described with reference to FIGS. 4 to 6. FIG. 4 is a perspective view (a) and a plan view (b) of the measuring unit 210 shown in FIG. FIG. 5 is a side view of the measuring unit 210 shown in FIG. FIG. 6 is a cross-sectional view showing the internal structure of the measuring unit 210.
As shown in FIGS. 4 to 6, the measuring unit 210 includes a measuring unit main body 213 in which the electrode unit 211 is built. The measuring unit main body 213 includes a mounting portion 214 that is mounted on the wall surface of the urinal, and a cover 215 that is arranged in front of the mounting portion 214 so that the wall surface faces and covers the electrode portion 211. In the following description, the cover 215 is defined as the front-rear direction, the left-right direction, and the up-down direction with reference to the state of being attached to the wall surface of the urinal.

The cover 215 has a shape that extends in the vertical direction and increases in size in the front-rear direction as it goes upward. As shown in FIG. 4B, the cover 215 has a shape in which the central portion in the left-right direction projects forward.
At the center of the cover 215 in the left-right direction, an edge portion 215A that projects forward and extends in the vertical direction is formed. The edge portion 215A is formed in the central portion of the cover 215 in the left-right direction in the entire area except the lower end portion.

As shown in FIG. 4A, the cover 215 is formed with an opening 216 connected to the electrode portion 211.
The opening 216 is formed so as to penetrate the cover 215 in the front-rear direction at the lower end of the cover 215, which is located below the cover 215 in a state of being attached to the wall surface.
A part of the electrode portion 211 is exposed to the outside from the opening portion 216. The opening 216 is located below the edge 215A of the cover 215. Therefore, the urination that has flowed down in the vicinity of the edge portion 215A tends to flow into the opening 216.

A guide surface 215B formed by a curved surface extending in the vertical direction and smoothly continuing toward the opening 216 is formed on each of the left and right side edges of the cover 215.
A pair of guide surfaces 215B are formed on both side edges of the cover 215. The pair of guide surfaces 215B are connected to the left and right edges of the opening 216, respectively. Therefore, the urination that has flowed through the guide surface 215B tends to flow into the opening 216.
In this embodiment, a suction cup member made of a synthetic resin material is used for the mounting portion 214.

As described above, according to the measuring unit 210 according to the present embodiment, the central portion of the cover 215 in the left-right direction projects forward.
Therefore, when urination is applied to the central portion in the left-right direction of the cover 215, the urination flows along the surface of the overhanging portion of the cover 215, so that the urination flow can be created. This makes it easier for urination to flow into the opening 216.

Further, since the opening 216 connected to the internal electrode portion 211 is formed at the lower end portion of the cover 215, the urination flowing on the surface of the cover 215 can be smoothly flowed into the opening 216 by hanging on the cover 215. be able to.
As a result, even when the amount of urination is small, the potential difference can be reliably measured by the electrode unit 211.

Further, guide surfaces 215B smoothly connected to the opening 216 are formed on both left and right edges of the cover 215 in the left-right direction. Therefore, even if a part of the urination applied to the cover 215 flows down to the outside in the left-right direction, it is guided to the opening 216 by the guide surface 215B by approaching the guide surface 215B. To urinate. As a result, urination flowing on the surface of the cover 215 can be smoothly entered into the opening 216 even more effectively.

(Second structure example)
Next, the health monitoring system 500 according to the second structural example will be described with reference to FIG. 7. FIG. 7 is an external view of the health monitoring system 500 according to the first structural example. In the description of the second structure example, the description of the same configuration as that of the first structure example will be omitted. The explanation of the same function and effect will be omitted.
As shown in FIG. 7, the measuring unit 210B of the measuring device 200 is arranged at the bottom of the urinal. When arranging the measuring unit 210B, a part called a trap, which is placed in advance on the bottom of the urinal, is removed, and the measuring unit 210B is arranged in place of the eye plate.

Next, the configuration of the measuring unit 210B according to the present embodiment will be described with reference to FIGS. 8 and 9. FIG. 8 is an external view of the measuring unit 210B, and FIG. 9 is a diagram showing the internal structure of the measuring unit 210B.
The measuring unit 210B includes a measuring unit main body 213B in which the electrode unit 211 is built.
The measuring unit main body 213B has a circular shape in a plan view, and is arranged above the main body base 217 and the main body base 217, which are arranged in place of the urinal eye plate and cover the electrode portion 211 (see FIG. 9). It includes a cover 218.

As shown in FIG. 9, the electrode portion 211 is arranged at the central portion of the main body base portion 217 in a top view. The electrode portion 211 extends in the vertical direction and is connected to an external functional portion by wiring.
An inflow hole 217A that opens in the radial direction is formed on the side surface of the main body base 217. A plurality of inflow holes 217A are arranged at intervals in the circumferential direction.

The main body base portion 217 includes a storage portion 219 that projects downward from a portion located at the central portion in a plan view. The storage portion 219 is connected to the bottom portion of the main body base portion 217 and extends in the vertical direction.
As shown in FIG. 7, when the measuring unit 210B is arranged at the bottom of the urinal, the bottom of the main body base 217 is placed on the bottom of the urinal, and the storage unit 219 is at the bottom of the urinal. It is arranged so as to extend downward from the outlet.

As shown in FIG. 9, the storage unit 219 is provided with a discharge port 219A for discharging urination stored inside so as to be openable and closable. The discharge port 219A is formed at the lower end of the storage unit 219.
The storage portion 219 has a cylindrical shape arranged coaxially with the main body base portion 217. The lower end opening of the storage unit 219 is the discharge port 219A. The discharge port 219A is provided with a lid 219C urged upward by a spring 219B.

When a certain amount of urine is accumulated in the storage unit 219, the weight of urination becomes heavier than the urging force of the spring 219B.
At this time, the lid 219C is displaced downward against the urging force of the spring 219B, so that urination is discharged from the storage unit 219. The amount of urination can be estimated by counting the number of times of urination (number of cycles). A counter 260 for counting the number of discharges is provided on the main body base 217.
Then, in the present embodiment, the analysis unit 123 calculates the urine volume based on the number of times of opening and closing of the discharge port 219A acquired from the counter 260 and the storage capacity (storage volume) of the storage unit 219 grasped in advance.

The main body cover 218 has a circular shape in a plan view, and has a semi-elliptical shape in which a portion located at the center in a plan view rises upward. At the upper end of the cover, a passage port through which the wiring connected to the electrode portion 211 and the counter 260 passes is formed.
A filling portion 218B filled with a drug (not shown) is formed inside the main body cover 218. That is, the space inside the main body cover 218 in which other parts are not arranged can be used as the filling portion 218B.

As described above, in the measuring unit 210B according to the present embodiment, the main body cover 218 of the measuring unit main body 213B arranged at the bottom inside the urinal has a semi-elliptical shape. Therefore, when urination is directly applied to the surface of the main body cover 218, the urination flows along the surface of the semi-elliptical shape, so that the urination can easily flow into the inflow hole 217A located below the main body cover 218. be able to.

Further, since the storage unit 219 is provided in the main body base 217, the accuracy of the calculation of the urine volume can be improved by calculating the urine volume based on the number of times of urination is discharged from the storage unit 219.
Further, when the filling portion 218B inside the main body cover 218 is filled with the chemical, the hygienic aspect of the measuring portion 210B can be ensured.

<Data>
Here, as an example, an example of the data structure 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 the storage destination, and may be the storage unit 250 of the measuring device 200 or the storage unit 340 of the user terminal 300. Needless to say, the data structure may be appropriately changed depending on the functional structure of the server 100, the processing content, and the like.

First, the toilet information DB is a DB that stores information related to the toilet bowl. For example, the toilet bowl model number, whether or not it has been washed, the installation location (latitude / longitude information, address, building name, etc.), and the start time of use (toilet bowl). It is composed of information such as when to start using the toilet.
In addition, the toilet information DB may be configured to include information on the toilet environment (not shown) such as amount information of detergent or the like or component information of detergent or the like. The toilet information DB holds records for each toilet bowl.
Information associated with the toilet bowl model number (for example, toilet bowl shape information, toilet water volume information, etc.) may be stored in the DB, or may not be stored in the DB, and a network system such as the Internet may be used each time. You may search and obtain it.

Next, the threshold value DB is a DB that stores a threshold value that serves as a criterion for determining whether the measurement result is positive or negative, normal or abnormal, and is, for example, a measurement item and a threshold value (absolute) for each measurement item (absolute). It is configured to include information such as (reference value as an absolute index for each measurement item), threshold value for each measurement item (for each user) (reference value as a personalized index for each user for each measurement item).

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 ( It is composed of information such as analysis result, estimation result), measurement date and time (year, month, day, hour, minute, second), inspection date and time (year, month, day, hour, minute, second).

Next, the dictionary data DB is a DB that stores dictionary data, and is configured to include, for example, information such as measured values and inspection results (analysis results, estimation results), as an example. The dictionary data DB identifies a feature vector created from measured values as so-called teacher data in machine learning. The dictionary data to be saved in the dictionary data DB may be defined and saved in the setting file. It is considered that the reading and updating processing speed of the dictionary data is improved by using the setting file as compared with 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 (uniquely assigned alphanumeric information), a user's name, gender, height, and so on. It is composed of information such as body weight, mass information measured by the measuring device 200, and toilet ID of one or more toilets associated with the user. The above is the data structure of various DBs.

Next, a data configuration example of associating the measurement / analysis results of the health monitoring system 500 with information such as diseases will be described with reference to FIG. FIG. 12 is a data conceptual diagram showing the association.
<Operation>
FIG. 11 is a flowchart showing an example of processing executed by the health monitoring system 500.
As shown in FIG. 11, first, as acquisition of various parameters (step S10), the correction unit 122 acquires information on the environment as toilet parameters. In addition, the user identification unit 220 identifies the user using an IC card, a user terminal 300, or the like.
The measurement unit 210 may start each measurement when the user manually notifies that the measurement start has been input by the input means provided in the control unit 230. (Step S13). The step can be omitted when the electrode unit 211 and the temperature measuring unit 212 automatically start the measurement.

Next, the measuring unit 210 observes the fluctuation of the voltage (step S11). The measuring unit 210 detects the start of excretion of the user when the potential difference between the electrodes to be measured crosses a certain threshold value (step S12). As a result, the measuring unit 210 starts measuring the voltage information (measurement step S13). Here, starting the measurement of the voltage information means acquiring the voltage value used for generating the voltage information and starting the generation of the voltage information. That is, the measuring unit 210 has already observed the potential difference since observing the fluctuation of the voltage, but uses the voltage value from the time when the start of excretion of the user is detected to generate the voltage information. Start getting the value.

Next, the temperature measuring unit 212 starts measuring the temperature information (step S14). Starting the measurement of temperature information means acquiring the temperature value of urination used for generating the temperature information and generating the temperature information.
Then, the measuring unit 210 detects the end of excretion of the user when the potential difference between the electrodes to be measured crosses a certain threshold value (step S15). As a result, the voltage measurement by the measuring unit 210 and the temperature measurement by the temperature measuring unit 212 are completed (step S16).
Here, the correction unit 122 may correct the measurement result of the voltage information based on the elapsed time since the measuring device 200 was installed in the toilet bowl.

Next, the analysis unit 123 analyzes the urine component using the voltage information and the temperature information (analysis step S17).
Here, the analysis unit 123 may analyze the urine component using only the voltage information. When only the voltage information is used, the analysis unit 123 has learned the relationship between the voltage information generated by the measurement unit 210 and the urine component information indicating the urine component contained in the urine when the voltage information is measured. Urine components are analyzed using a component analysis model.
If temperature information is also used, component analysis that learns the relationship between the temperature information measured by the temperature measuring unit 212 and the urine component information indicating the urine component contained in urine when the temperature information is measured. Urine components are analyzed using a model together.

In addition, the analysis unit 123 calculates the urine volume based on the temperature information (step S18). The analysis unit 123 is based on the temperature information by machine learning using a urine volume estimation model that has learned the relationship between the plurality of temperature information generated by the temperature measurement unit 212 and the urine volume corresponding to each of the plurality of temperature information. Calculate the urine volume. At this time, in the case of the measuring unit 210B according to the second structural example described above, the analysis unit 123 uses the value of the urine volume calculated based on the number of times of urination discharged from the storage unit 219 to determine the urine volume. to correct.
Finally, the guessing unit 124 estimates the user's disease, physical condition, and lifestyle based on the analyzed urination information (for example, the analyzed urine component) (guess step S19).

(Other)
The health monitoring system 500 according to the present invention can be used as a part of telemedicine in cooperation with a medical institution or the like.
For example, the information of the medical institution, the doctor, etc. related to each user is stored in the user DB stored in the storage unit 130, and the measurement value and the test result data of the DB are stored in the user DB when the measurement / test result DB is updated. It is transmitted to a medical institution or the like, and based on the transmitted data, the doctor or the like can remotely perform a health examination, guidance, etc. even if the patient is at home.

Further, the health monitoring system 500 according to the present invention also performs remote medication observation (whether the prescribed drug is taken) and drug metabolism check (whether the prescribed drug works) by a doctor, a pharmacist, a pharmaceutical company, or the like. Check), it can also be used for services such as delivering medicines prescribed according to the health condition and doctor's prescription from the pharmacy, and health checks for families far away.

The health monitoring system 500 according to the present invention cooperates with a system of a pharmaceutical company or a health insurance association, and is a time-series vital generated from measurement / test result information stored in the storage unit 130 of the health monitoring system 500 according to the present invention. Data can also be used for data marketing business.
Similarly, vital data can be used to simulate how medical costs can be reduced in collaboration with insurance companies and health insurance association systems.

In addition, by linking the generated vital data with the daily life log recorded by the wearable device linked with the health monitoring system 500, it can be used for a service that provides more individual and specific health and beauty advice. ..
In addition, by linking vital data and life logs, it can be used, for example, for modeling what kind of health people are living and what kind of life they are.

For example, when linking with a life log related to meals, it is possible to extract insufficient nutrients and the like from vital data and display the extracted nutrients on the display unit 330 of the user terminal 300.
It is also possible to display and propose a meal menu (including information on ingredients such as vegetables to be ingested) and supplements on the display unit 330 of the user terminal 300 based on the extracted nutrients.

Similarly, it is possible to classify vital data into types and propose supplements that supplement the nutrients that the body lacks for each type.
The target of providing the service is not limited to general households and individuals, but can also be applied to health management of athletes, for example. Similarly, in terms of cosmetology, personalized cosmetics can be proposed, especially to users who are expected to have skin or hair problems.

Further, the health monitoring system 500 according to the present invention may be used for modeling, for example, what kind of genome a person lives in what kind of health state by linking the results of genome analysis in addition to vital data and life log. Can be done.

Furthermore, these modeling information provides information on the health condition predicted by the modeling to the insurance company, etc., and the insurance company, etc. uses the forecast information as information when considering and deciding whether or not to enroll, insurance premiums, etc. It can be used.

Each functional unit of the server 100, the measuring device 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 (LargeScaleIntegration)) or the like. However, it may be realized by software using a CPU (CentralProcessingUnit) and a memory.
Further, 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 one integrated circuit. LSIs are sometimes called VLSIs, super LSIs, ultra LSIs, etc., depending on the degree of integration.
Here, the "circuit" may include a meaning as digital processing by a computer, that is, functional processing by software. Further, the circuit may be realized by a reconfigurable circuit (for example, FPGA: FieldProgrammableGateAway).

When each functional unit of the server 100, the measuring device 200, and the user terminal 300 is realized by software, each functional unit of the server 100, the measuring device 200, or the user terminal 300 is a display information generation program that is software that realizes each function. Expand the CPU that executes instructions, the health monitoring program, a ROM (ReadOnlyMemory) or storage device (these are referred to as "recording media") in which various data are readablely recorded by a computer (or CPU), and the health monitoring program. It is equipped with a RAM (RandomAccessMemory).
Then, the object of the present invention is achieved when the computer (or CPU) reads and executes the health monitoring program from the recording medium. As the recording medium, a "non-temporary tangible medium", for example, a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used.

Further, the health monitoring program may be supplied to the computer via an arbitrary transmission medium (communication network, broadcast wave, etc.) capable of transmitting 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 above 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. ..
In the above embodiment, the measuring unit 210 is configured to be separate from the urinal, but the present invention is not limited to this aspect. For example, the measuring unit 210 may be built in the urinal.

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 (user terminal)
340 storage unit (user terminal)

Claims (13)

A measuring unit having at least two electrodes for measuring the potential difference generated when the urinal user urinates and generating voltage information indicating the change in the potential difference, and a measuring unit.
By machine learning using a component analysis model in which the relationship between the voltage information generated by the measuring unit and the urine component information indicating the urine component contained in the urine when the voltage information is measured is learned a plurality of times, the above is performed. An analysis unit that analyzes urine components based on voltage information,
A health monitoring system including a guessing unit for estimating a disease of the user based on the analyzed urine component. The health monitoring system according to claim 1, further comprising a correction unit that corrects the voltage information based on the elapsed time since the measurement unit was installed on the toilet bowl. The correction unit has a preset accuracy correction amount based on the measurement accuracy of the electrode, which deteriorates with the lapse of a predetermined time, and an environment correction amount preset based on the environment in which the measurement unit is installed. The health monitoring system according to claim 2, wherein the voltage information is corrected by using at least one of the two. The method according to any one of claims 1 to 3, wherein the measuring unit recognizes the start or end of urination when the voltage information changes over a set predetermined threshold value. Health monitoring system. It is provided with a temperature measuring unit that measures the temperature of urination and generates temperature information indicating a change in the temperature of urination.
The analysis unit uses machine learning using a urine volume estimation model that learns the relationship between a plurality of temperature information generated by the temperature measurement unit and the urine volume corresponding to each of the plurality of temperature information, and the temperature information is obtained. The health monitoring system according to any one of claims 1 to 4, wherein the urine volume is calculated based on the above. The measuring unit includes a measuring unit main body in which the electrodes are built-in.
The main body of the measuring unit includes a mounting unit that is mounted on the wall surface of the urinal and
A cover provided with respect to the mounting portion, which is arranged in front of the wall surface and covers the electrodes, is provided.
The cover has a shape in which the central portion in the left-right direction projects forward.
The health monitoring system according to any one of claims 1 to 5, wherein an opening connected to the electrode is formed in the cover. The sixth aspect of claim 6, wherein the opening is formed at a lower end portion of the cover, which is located below the cover while being attached to the wall surface, so as to penetrate the cover in the front-rear direction. Health monitoring system. The seventh aspect of claim 7, wherein each of the left and right side edges of the cover extends in the vertical direction and has a guide surface formed by a curved surface that smoothly extends toward the opening. Health monitoring system. The measuring unit includes a measuring unit main body in which the electrodes are built-in.
The main body of the measuring unit has a circular shape in a plan view, and has a main body base that is arranged in place of the eye plate of the urinal.
It is provided with a main body cover which is arranged above the main body base, has a circular shape in a plan view, and covers the electrodes.
The health monitoring system according to any one of claims 1 to 5, wherein the main body cover has a semi-elliptical shape in which a portion located at the center in a plan view is raised upward. .. The main body base includes a storage portion that projects downward from a portion located at the center in a plan view.
The storage unit is provided with a discharge port for discharging urination stored inside so as to be openable and closable.
The health monitoring system according to claim 9, wherein the analysis unit calculates the amount of urine based on the number of times the outlet is opened and closed and the storage capacity of the storage unit. The health monitoring system according to claim 9 or 10, wherein a filling portion filled with a drug is formed inside the main body cover. The computer
A measurement step having at least two electrodes for measuring the potential difference when the user urinates in the urinal and generating voltage information indicating the change in the potential difference.
By machine learning using a component analysis model in which the relationship between the voltage information generated in the measurement step and the urine component information indicating the urine component contained in the urine when the voltage information is measured is learned a plurality of times, the above Analytical steps to analyze urine components based on voltage information,
A health monitoring method for performing a guessing step of guessing the user's disease based on the analyzed urine component. On the computer
A measurement function that has at least two electrodes for measuring the potential difference when the user urinates in the urinal and generates voltage information indicating the change in the potential difference.
By machine learning using a component analysis model in which the relationship between the voltage information generated by the measurement function and the urine component information indicating the urine component contained in the urine when the voltage information is measured is learned a plurality of times. An analysis function that analyzes urine components based on voltage information,
A health monitoring program that realizes a guessing function for guessing the user's disease based on the analyzed urine component.

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