Biological information measuring system and toilet seat device

Abstract

To appropriately execute processing based on gas measurement.SOLUTION: A biological information measurement system pertaining to an embodiment comprises: a gas detection device including a first gas sensor that reacts to hydrogen gas and a second gas sensor that reacts to odorous gas and hydrogen gas; a control device for controlling the gas detection device; and output means. The control device calculates a first calculation value corresponding to the hydrogen gas on the basis of the detection result of the first gas sensor, calculates a second calculation value corresponding to the hydrogen gas of the second gas sensor on the basis of the first calculation value, and calculates a third calculation value corresponding to the odorous gas on the basis of the detection result of the second gas sensor and the second calculation value. The control device exercises control for changing, irrespective of the third calculation value, a health state of a user or information related to the health state that is outputted by the output means when at least one of the first, the second and third calculation values satisfies a prescribed condition.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The disclosed embodiments relate to a vital information measuring system and a toilet seat apparatus. [Background technology]

[0002] Conventionally, there is known a health measurement device that detects defecation gas discharged at the same time as stool, measures hydrogen sulfide gas, which is an example of an odorous gas contained in the defecation gas, and measures the intestinal condition from the hydrogen sulfide gas (see, for example, Patent Document 1). Also known is a bioinformation system that analyzes the daily physical condition of a person measured from data on health gases consisting of at least one of hydrogen gas, carbon dioxide gas, and methane gas contained in the defecation gas, and odorous gases containing sulfur components (see, for example, Patent Document 2). For example, in order to suppress the influence of hydrogen gas when detecting odorous gases, a technology is provided that separates the influence of hydrogen gas detected by a hydrogen gas sensor from the detection results based on the measurement using odorous gases, and calculates the amount of odorous gas. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2009-250922 A [Patent Document 2] Patent No. 6674623 Summary of the Invention [Problem to be solved by the invention]

[0004] However, there is room for improvement in the above-mentioned conventional techniques. For example, simply separating the influence of hydrogen gas detected by a hydrogen gas sensor from the detection result based on the measurement of an odorous gas may make it difficult to perform proper gas measurement due to measurement variations of the hydrogen gas sensor. Therefore, it is desirable to be able to appropriately perform processing based on gas measurement.

[0005] An object of the disclosed embodiments is to provide a vital sign measurement system and a toilet seat apparatus that are capable of appropriately executing processing based on gas measurement. [Means for solving the problem]

[0006] A vital information measurement system according to one aspect of an embodiment is a vital information measurement system that measures vital information of a user of a toilet room based on defecation gas discharged into a bowl of a toilet bowl installed in the toilet room, and includes a gas detection device including a first gas sensor that reacts to hydrogen gas contained in gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas, a control device that controls the gas detection device, and an output means that outputs information regarding a processing result by the control device, and the control device calculates a first calculated value corresponding to hydrogen gas based on the detection result of the first gas sensor, and outputs the first calculated value based on the first calculated value. A second calculated value corresponding to hydrogen gas from a second gas sensor is calculated, and a third calculated value corresponding to an odorous gas is calculated based on the detection result of the second gas sensor and the second calculated value, and the bioinformation measuring system estimates the user's health condition or information related to the health condition based on the third calculated value, and the control device controls the first information, which is the user's health condition or information related to the health condition output by the output means, to be changed independently of the third calculated value when at least one of the first calculated value, the second calculated value, and the third calculated value satisfies a predetermined condition.

[0007] According to the biological information measurement system of one aspect of the embodiment, even if the amount of detected hydrogen gas measured by the hydrogen gas sensor (corresponding to the first gas sensor) varies, the amount of odorous gas is prevented from becoming 0 or less, and when displaying daily health conditions such as the state of the intestinal environment to the user, a state without data can be avoided, thereby improving usability. Therefore, the biological information measurement system can appropriately execute processing based on gas measurement.

[0008] As described in the above Patent Documents 1 and 2, the inventors have been continuing their research into health measurement using information on defecation gas, and in the course of their research, they have found that the time-dependent change in the ratio of healthy gases composed of hydrogen, carbon dioxide, acetic acid, methane, ethanol, water, etc., contained in defecation gas (fart) emitted during defecation to odorous (bad odor) gases composed of ammonia, trimethylamine, hydrogen sulfide, methyl mercaptan, indole, skatole, etc., indirectly captures the time-dependent change in the intestinal environment. However, when the amount of hydrogen gas detected from defecation gas is large or the amount of odorous gas is small, if an attempt is made to simply separate the effect of hydrogen gas detected by the hydrogen gas sensor from the detection value of odorous gas detected by odorous gas as in Patent Document 2, due to the measurement variation of the hydrogen gas sensor, if the detection amount by the hydrogen gas sensor varies positively, the detection value of the odorous gas becomes 0 or a negative value, and the intestinal environment cannot be correctly estimated. Therefore, with a biological information measurement system according to one aspect of the embodiment, even if the amount of hydrogen gas fluctuates due to measurement variation in the hydrogen gas sensor, it is possible to prevent significant errors in the amount of odorous gas.

[0009] In one aspect of the embodiment, in the bioinformation measuring system, the specified condition includes at least one of the first calculated value or the second calculated value exceeding a first threshold value, or the third calculated value falling below a second threshold value that is smaller than the first threshold value.

[0010] According to the biological information measurement system according to one aspect of the embodiment, when the amount of health gas is large and / or the amount of odorous gas is small, which is considered to be difficult to detect, the amount of odorous gas becomes 0 or less, and by avoiding a state in which data cannot be displayed, the measurement data is displayed as is under normal circumstances, and it is possible to deal with a case in which a measurement error occurs due to a variation in the amount of hydrogen gas, and further improve usability. Therefore, the biological information measurement system can appropriately execute processing based on gas measurement.

[0011] In one aspect of the embodiment, in the bioinformation measuring system, the specified condition includes that the second calculated value is greater than a zero calculated value corresponding to an odorous gas and hydrogen gas calculated based on the detection result of the second gas sensor.

[0012] According to the biological information measuring system according to one aspect of the embodiment, by performing a downward correction when the amount of hydrogen gas in the first gas sensor is large, which is considered to be difficult to detect odorous gas, the amount of hydrogen gas is corrected to a smaller amount only when a correction is necessary, so that the health condition, such as the state of the intestinal environment, can be estimated more accurately. Therefore, the biological information measuring system can appropriately execute processing based on gas measurement.

[0013] In one aspect of the embodiment, the control device is characterized in that when the specified condition is satisfied, the control device changes the value contained in the first information to a preset setting value.

[0014] According to an aspect of the embodiment, the biological information measuring system can suppress deviation of data from the measured value displayed daily even when measurement is difficult with simple measures. Therefore, the biological information measuring system can appropriately execute processing based on gas measurement.

[0015] A biological information measuring system according to one aspect of the embodiment has a storage means for storing past first information, and the control device changes the first information based on the past first information stored in the storage means.

[0016] According to the bioinformation measuring system of one aspect of the embodiment, even if the measurement is difficult, the data can be prevented from deviating from the measured value displayed daily. For example, the intestinal environment gradually changes over several weeks, and the change over time is important. According to the bioinformation measuring system of one aspect of the embodiment, if the most recent past data is used, the intestinal environment is unlikely to change significantly from that point, so that it is possible to prevent a large error in the result. Therefore, the bioinformation measuring system can appropriately execute the process based on the gas measurement.

[0017] In the biological information measuring system according to one aspect of the embodiment, the output means outputs second information relating to measurement accuracy when the predetermined condition is satisfied.

[0018] According to the biological information measurement system according to one aspect of the embodiment, by informing the user that the measurement may not be accurate due to a predetermined condition being met, the user is not unnecessarily worried about an erroneous measurement result. Therefore, the biological information measurement system can appropriately execute a process based on the gas measurement.

[0019] In the biological information measuring system according to one aspect of the embodiment, the output means outputs third information relating to a measurement error when the predetermined condition is satisfied.

[0020] According to the biological information measurement system according to one aspect of the embodiment, when a predetermined condition is met, the user is informed that the measurement may not be accurate because the measurement was performed within a range in which the measurement accuracy of the gas sensor cannot be guaranteed, thereby preventing the user from worrying unnecessarily due to an erroneous measurement result. Thus, the biological information measurement system can appropriately execute processing based on the gas measurement.

[0021] A toilet seat device according to one aspect of an embodiment is a toilet seat device that measures biological information of a user of a toilet room based on defecation gas discharged into a bowl of a toilet installed in the toilet room, and includes a gas detection device having a first gas sensor that reacts to hydrogen gas contained in gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas, a control device that controls the gas detection device, and an output means that outputs information regarding a processing result by the control device, and the control device calculates a first calculation value corresponding to hydrogen gas based on the detection result of the first gas sensor, and outputs the second calculation value based on the first calculation value. A second calculated value corresponding to hydrogen gas from the gas sensor is calculated, a third calculated value corresponding to an odorous gas is calculated based on the detection result of the second gas sensor and the second calculated value, and the toilet seat device estimates the health condition of the user or information related to the health condition based on the third calculated value, and the control device performs control to change the first information, which is the health condition of the user or information related to the health condition output by the output means, not based on the third calculated value when at least one of the first calculated value, the second calculated value, and the third calculated value satisfies a predetermined condition.

[0022] According to the toilet seat device of one aspect of the embodiment, even if the amount of detected hydrogen gas measured by the hydrogen gas sensor (corresponding to the first gas sensor) varies, the amount of odorous gas is prevented from becoming 0 or less, and when displaying daily health conditions such as the state of the intestinal environment to the user, a state without data can be avoided, thereby improving usability. Therefore, the toilet seat device can appropriately execute processing based on gas measurement. Effect of the Invention

[0023] According to one aspect of the embodiment, processing based on gas measurements can be appropriately performed. [Brief description of the drawings]

[0024] [Figure 1] FIG. 1 is a perspective view showing an example of the configuration of a toilet room according to an embodiment. [Diagram 2] FIG. 2 is a plan view showing an example of the configuration of the measurement device according to the embodiment. [Diagram 3] FIG. 3 is a diagram illustrating an example of an overall outline of the biological information measuring system according to the embodiment. [Figure 4] FIG. 4 is a diagram showing an example of the relationship between the user's actions and the system's operations. [Diagram 5] FIG. 5 is a block diagram showing an example of the configuration of a toilet seat device according to an embodiment. [Figure 6] FIG. 6 is a block diagram illustrating an example of the configuration of the control device according to the embodiment. [Figure 7] FIG. 7 is a diagram illustrating an example of the configuration of a gas sensor. [Figure 8] FIG. 8 is a diagram showing an example of the relationship between the value based on the measurement of the gas sensor and the amount of gas. [Figure 9] FIG. 9 is a diagram showing an example of a gas sensor and a reactive component. [Figure 10] FIG. 10 is a diagram showing an example of a process for calculating the amount of odorous gas. [Figure 11] FIG. 11 is a diagram showing an outline of calculation of the amount of odorous gas. [Figure 12] FIG. 12 is a diagram showing an example of the effect of measurement variation of a gas sensor on calculation. [Figure 13] FIG. 13 is a diagram showing an example of the effect of measurement variation of a gas sensor on calculation. [Figure 14] FIG. 14 is a diagram showing a first measurement example using the gas sensor. [Figure 15] FIG. 15 is a diagram showing a second measurement example using the gas sensor. [Figure 16] FIG. 16 is a diagram showing a third measurement example using the gas sensor. [Figure 17] FIG. 17 is a diagram showing a fourth measurement example using the gas sensor. [Figure 18] FIG. 18 is a diagram showing the fifth and sixth measurement examples using the gas sensor. [Figure 19]FIG. 19 is a diagram showing a seventh measurement example using the gas sensor. [Figure 20] FIG. 20 is a diagram showing an example of the configuration and control corresponding to the third measurement example. [Figure 21] FIG. 21 is a diagram showing an example of the configuration and control corresponding to the fourth measurement example. [Figure 22] FIG. 22 is a diagram showing an example of the configuration and control corresponding to the fourth measurement example. [Diagram 23] FIG. 23 is a diagram showing an example of the configuration and control corresponding to the fourth measurement example. [Figure 24] FIG. 24 is a diagram showing a first change of information by the biological information measuring system. [Diagram 25] FIG. 25 is a diagram showing an example of how information is displayed after the change by the biological information measuring system. [Figure 26] FIG. 26 is a diagram showing an example of score correction by the biological information measuring system. [Figure 27] FIG. 27 is a diagram showing a second change of information by the biological information measuring system. [Figure 28] FIG. 28 is a diagram showing a third change of information by the biological information measuring system. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0025] Hereinafter, the embodiments of the biological information measuring system and toilet seat device disclosed in the present application will be described in detail with reference to the attached drawings. Note that the present invention is not limited to the embodiments described below. In the present application, gases derived from intestinal fermentation and indicating a high level of health are referred to as healthy gases, and gases derived from intestinal putrefaction and indicating a low level of health are referred to as odorous gases.

[0026] For example, the health gas is a gas produced by fermentation by beneficial bacteria in the intestine. For example, the health gas may be a gas derived from intestinal fermentation and increases as the health of the intestine increases. Specific examples of the health gas include hydrogen, carbon dioxide, acetic acid, methane, ethanol, water, etc.

[0027] For example, the odorous gas is a gas produced by fermentation caused by harmful bacteria in the intestines. For example, the odorous gas may be a gas containing sulfur components in defecation gas. Examples of odorous gas include ammonia, trimethylamine, hydrogen sulfide, methyl mercaptan, indole, and skatole. Note that the defecation gas referred to here is a gas that comes out of the intestines, and includes, for example, gas that comes out at the same time as defecation and gas that is not excreted at the same time as defecation.

[0028] <1. Embodiment> Below, an overview of the toilet room R, which is a gas collection location, and the vital information measurement system 1 will be described, and then various processes executed by the vital information measurement system 1 and the configuration for executing those processes will be described.

[0029] <1-1. Example of toilet room configuration> First, the configuration of a biological information measuring system according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a perspective view showing an example of the configuration of a biological information measuring system according to an embodiment. In Fig. 1, a toilet seat 5 and a toilet lid 9 are shown in a see-through state in order to illustrate the configuration of a measuring device 4.

[0030] 1, in a toilet room R, a toilet bowl 7 is installed on a floor surface F. In the following, the direction facing the space of the toilet room R from the floor surface F may be described as "up." In the toilet room R, components of a vital information measuring system 1, such as a measuring device 4 that detects gas including a suction device 10 and a gas detection device 20, are arranged.

[0031] The toilet bowl 7 is a toilet bowl, and has a bowl portion 8 formed therein. The bowl portion 8 has a downwardly concave shape, and is the portion that receives the user's excrement. The toilet bowl 7 is not limited to a floor-standing type as shown in the figure, and may be of any type, such as a wall-mounted type, as long as the vital information measurement system 1 is applicable. The toilet bowl 7 is provided with a rim portion around the entire periphery of the edge of the opening facing the bowl portion 8. In the toilet room R, for example, a flush water tank that stores flush water may be installed near the toilet bowl 7, or a so-called tankless type in which no flush water tank is installed may be used.

[0032] For example, when a user operates a flushing operation unit (not shown) for flushing provided in the toilet room R, a toilet flush is performed by supplying flush water to the bowl portion 8 of the toilet 7. The flushing operation unit may be an operation lever, or a touch operation on a toilet flushing object displayed on the operation device 30. Note that the flushing operation unit is not limited to one that causes the toilet flush to be performed manually by the user, such as an operation lever, but may also be one that causes the toilet flush to be performed by human body detection by a sensor that detects the user, such as a seating sensor.

[0033] The toilet seat device 2 is attached to the top of a toilet bowl 7, and includes a main body 3, a measuring device 4, a toilet seat 5, and a cleaning nozzle 6. The toilet seat device 2 is placed on top of the toilet bowl 7, which is formed with a bowl portion 8 that receives excrement. The toilet seat device 2 is placed on top of the toilet bowl 7 so that the cleaning nozzle 6 advances into the bowl portion 8 before spraying cleaning water. The toilet seat device 2 may be attached detachably to the toilet bowl 7, or may be attached so as to be integrated with the toilet bowl 7.

[0034] The toilet seat device 2, by using the measuring device 4 and other components, measures the biological information of a user of the toilet room R based on the defecation gas discharged into a bowl portion 8 of a toilet 7 installed in the toilet room R. The measuring device 4 has a suction device 10 and a gas detection device 20. The measuring device 4 will be described in detail with reference to FIG. 2.

[0035] As shown in FIG. 1, the toilet seat 5 is formed in an annular shape and is disposed along the edge (rim portion) of the bowl portion 8 in a position overlapping the opening of the toilet bowl 7. A user sits on the toilet seat 5. The toilet seat 5 functions as a seating portion that supports the buttocks of the seated user. In addition, a toilet lid 9 is attached to the toilet seat apparatus 2 as necessary, and the toilet seat apparatus 2 does not necessarily have to have a toilet lid 9.

[0036] The cleaning nozzle 6 is a nozzle for spraying water for cleaning. The cleaning nozzle 6 is configured to be movable forward and backward with respect to the housing of the main body 3 by being driven by a driving source such as an electric motor (such as the nozzle motor 61 in FIG. 5). The cleaning nozzle 6 is also connected to a water source such as a water pipe (not shown). When the cleaning nozzle 6 is in an advanced position (also referred to as the "advanced position") with respect to the housing of the main body 3 as shown in FIG. 1, it sprays water from the water source onto the user's body to clean the private parts.

[0037] 1 shows the cleaning nozzle 6 in the advanced position. The cleaning nozzle 6 may also be used to clean the inside of the toilet bowl 7 (bowl portion 8, etc.). The cleaning nozzle 6 may be used switchably between a private parts cleaning mode for cleaning the private parts of the user and a toilet bowl cleaning mode for spraying water inside the toilet bowl 7. For example, the cleaning nozzle 6 may be used switchably between the private parts cleaning mode and the toilet bowl cleaning mode according to the control by the toilet seat device 2.

[0038] The operating device 30 is provided in the toilet room R. The operating device 30 is provided in a position where it can be operated by a user. The operating device 30 is provided in a position where it can be operated when the user is seated on the toilet seat 5. In FIG. 1, the operating device 30 is provided on a wall surface W on the left side as seen from a user seated on the toilet seat 5. Note that the operating device 30 may be provided in various ways, not limited to on a wall surface, as long as it is usable by a user seated on the toilet seat 5. For example, the operating device 30 may be provided integrally with the toilet seat device 2.

[0039] The operating device 30 is connected to the toilet seat device 2 via a predetermined network so as to be able to communicate with the toilet seat device 2 in a wired or wireless manner. For example, the toilet seat device 2 and the operating device 30 may be connected in any manner as long as they are able to transmit and receive information, and may be connected to each other in a wired or wireless manner so as to be able to communicate with each other.

[0040] The operation device 30 accepts various operations from a user via a display surface (e.g., a display screen 31) using, for example, a touch panel function. The operation device 30 may also include switches and buttons, and accept various operations via the switches and buttons. The display screen 31 is a display screen of a tablet terminal or the like realized by, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various information. In other words, the operation device 30 accepts input from the user via the display screen 31, and also outputs to the user. The display screen 31 is a display device for displaying various information.

[0041] The operation device 30 accepts user operations for controlling various functions provided in the toilet room R. The operation device 30 accepts user operations for controlling the execution of local cleansing by the toilet seat device 2. For example, the operation device 30 may have switches, buttons, etc. for accepting the above-mentioned user operations, and may execute various processes in response to the user's touching the switches, buttons, etc. Note that the above is just an example, and the operation device 30 may accept user operations for executing various processes.

[0042] The vital information measuring system 1 measures the vital information of a user of the toilet room R based on the fecal gas discharged into a bowl portion 8 of a toilet 7 installed in the toilet room R, using various configurations and processes described below. The vital information measuring system 1 executes control to appropriately measure the fecal gas. The vital information measuring system 1 may provide information to a user terminal (corresponding to the display means 300 in FIG. 3) such as a smartphone of the user based on the information collected by measurement, etc. The vital information measuring system 1 may also provide information to an operating device 30 (or a display screen 31) of the toilet room R based on the information collected by measurement, etc.

[0043] <1-2. Configuration of the measuring device> Next, the configuration of the measuring device 4 will be described with reference to Fig. 2. Fig. 2 is a plan view showing an example of the configuration of the measuring device according to the embodiment. In the example shown in Fig. 2, the measuring device 4 is disposed inside the main body 3 as an example. Fig. 2 illustrates the configuration of the measuring device 4 by removing the housing (cover) of the main body 3 where the measuring device 4 is disposed.

[0044] The measuring device 4 has a suction device 10 that sucks gas within the bowl portion 8 of the toilet 7, and a gas detection device 20 that detects the components of the sucked gas.

[0045] The suction device 10 has a fan for sucking in gas within the bowl portion 8 of the toilet bowl 7. A duct 11 that communicates with the inside of the bowl portion 8 of the toilet bowl 7 is connected to the suction device 10. The duct 11 functions as a flow path that allows the gas within the bowl portion 8 to flow into the measuring device 4. The suction device 10 drives the fan to suck in the gas within the bowl portion 8 using the duct 11 as a flow path. For example, the suction device 10 executes processes related to suction under the control of the control device 100. Note that when the suction device 10 is used in common with a deodorizing device or the like incorporated in the toilet seat device 2, the suction device 10 may be controlled by a control means (device) other than the control device 100.

[0046] Gas detector 20 executes a process for detecting components of the gas sucked by suction device 10. In FIG. 2, gas detector 20 is disposed after suction device 10 as viewed from bowl portion 8. Note that FIG. 2 is merely an example, and gas detector 20 may be disposed at any position as long as the gas sucked by suction device 10 can be introduced therein. Gas detector 20 is connected to duct 12 that communicates with the outside of main body 3. Duct 12 functions as a flow path for discharging gas in gas detector 20 from measuring device 4. For example, in response to driving of suction device 10, gas in gas detector 20 is discharged to the outside of measuring device 4 through duct 12 as a flow path.

[0047] For example, gas detection device 20 executes processes related to gas detection under the control of control device 100. Gas detection device 20 includes gas sensor 40 that reacts to gas contained in an atmosphere. Gas sensor 40 detects a specific component of the gas.

[0048] For example, a semiconductor gas sensor is used as the gas sensor 40. The gas sensor 40 may be a hydrogen gas sensor capable of detecting hydrogen. The gas sensor 40 may be an odorous gas sensor capable of detecting odorous gas. The gas sensor 40 may be a methane gas sensor capable of detecting methane. For example, the gas detection device 20 has a plurality of gas sensors 40. The plurality of gas sensors 40 may include a gas sensor 40a which is a hydrogen gas sensor, a gas sensor 40b which is an odorous gas sensor, and a gas sensor 40c which is a methane gas sensor. When the gas sensors 40a to 40c are described without making any particular distinction, they will be described as gas sensors 40.

[0049] It should be noted that the above is merely an example, and the gas sensor is not limited to the semiconductor gas sensor 40, and any type of sensor may be used. For example, the gas detection device 20 may have any one or more gas sensors, such as a CO2 sensor, such as an infrared carbon dioxide concentration meter.

[0050] <1-3. Example of an overview of a biological information measurement system> Next, an example of an overall overview of the biological information measuring system 1 will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of an overall overview of the biological information measuring system according to an embodiment. Note that the same points as those described in Figs. 1 and 2 will not be described as appropriate.

[0051] In Fig. 3, the biological information measuring system 1 includes a suction device 10, a gas detection device 20, a control device 100, and an estimation means 200. Figs. 1 and 2 show a case where the toilet seat device 2 has the suction device 10, the gas detection device 20, and the control device 100, but this is not limited to the above. For example, the control device 100 may be provided separately from the suction device 10 and the gas detection device 20, and may control the suction device 10 and the gas detection device 20 by communicating with the suction device 10 and the gas detection device 20 wirelessly or via a wire. Furthermore, as described above, the suction device 10 may be controlled by a control means other than the control device 100.

[0052] The estimation means 200 is a computer (information processing device) having a function of executing estimation processing based on information acquired by detection by the gas detection device 20. For example, the estimation means 200 may be a cloud server (server device) located outside the toilet room R. In this case, the estimation means 200 is connected to a device (also referred to as an "in-toilet device") arranged in the toilet room R, such as the toilet seat device 2 or the gas detection device 20, via a predetermined network such as the Internet in a wired or wireless manner so as to be able to communicate with each other.

[0053] The estimation means 200 is connected to a device that displays information to a user, such as the display means 300, via a predetermined network such as the Internet, in a wired or wireless manner so as to be able to communicate with each other. The estimation means 200 may be connected to devices such as the toilet device and the display means 300 in any manner as long as it is possible to transmit and receive information, and may be connected to the device in the toilet in a wired or wireless manner so as to be able to communicate with each other. The estimation means 200 may be able to communicate with the control device 100.

[0054] The estimation means 200 executes estimation processing regarding the health condition of the user using the information received from the in-toilet device. The data acquired so far may be stored in the estimation means 200 or may be stored in the display means 300. The estimation means 200 generates information for estimating the health condition of the user (also called "health estimation information") or information related thereto based on the amount of health gas and odorous gas in the user's defecation gas. The estimation means 200 calculates a score based on the ratio of the amount of health gas and the amount of odorous gas in the user's defecation gas as the user's health estimation information. For example, the estimation means 200 may use any information such as a ratio or odor alone. The above is only one example, and the estimation means 200 may generate any information as the user's health estimation information. For example, the estimation means 200 may generate the following information as the user's health estimation information, or may generate the health estimation information based on the following processing results.

[0055] For example, the estimation means 200 may estimate information on the intestinal state of the user from the measured value. For example, the estimation means 200 may estimate information on the state of bacteria. In this case, for example, the estimation means 200 may estimate the occupancy rate of a certain bacteria, the amount and ratio of good bacteria and bad bacteria, etc. Also, for example, the estimation means 200 may estimate the state of metabolites. In this case, for example, the estimation means 200 may estimate the amount and ratio of useful substances and harmful substances, etc. For example, the estimation means 200 may estimate the state of intestinal pH. Also, the estimation means 200 may generate information in which the above-mentioned information is scored or evaluated as good or bad. For example, the estimation means 200 may generate the above-mentioned information as health estimation information of the user.

[0056] Also, for example, the estimation means 200 may generate information on the health condition of the user from the measured value. In this case, for example, the estimation means 200 may generate information evaluating the score or goodness / badness of the intestinal environment of the user. For example, the estimation means 200 may generate information on the intestinal environment of the user. For example, the estimation means 200 may generate information on the immunity of the user. For example, the estimation means 200 may generate information on the ease of weight loss of the user. For example, the estimation means 200 may generate information on the cholesterol index. For example, the estimation means 200 may generate information on the metabolic score. For example, the estimation means 200 may generate the above-mentioned information as the health estimation information of the user. Note that the above-mentioned examples are merely illustrative, and the estimation means 200 may generate various information related to the health condition of the user, not limited to the above.

[0057] The estimation means 200 estimates, based on the calculated ratio, that the more the health gases are in the user's defecation gas than the odorous gases, the healthier the user is. The estimation means 200 estimates, based on the calculated ratio, that the more the odorous gases are in the user's defecation gas than the health gases, the unhealthier the user is. Note that the above is merely an example, and the estimation means 200 may make any estimation based on the calculated score. The estimation means 200 transmits information to be provided to the user to the display means 300. The estimation means 200 transmits the calculated score as the user's estimated health information to the display means 300 used by the user.

[0058] The estimation means 200 is not limited to a cloud server (server device), and may be any device. In other words, the device configuration and arrangement of the estimation means 200 may be any form as long as the desired processing can be realized. For example, the estimation means 200 may be a mobile terminal (device) such as a laptop computer that can be carried by an administrator of the vital information measurement system 1. The estimation means 200 may also be disposed in the toilet room R. For example, the estimation means 200 may be configured to be disposed in the toilet room R. For example, the toilet seat device 2 may have the function of the estimation means 200. In this case, the control device 100 may have the function of the estimation means 200.

[0059] The display means 300 is a display device (computer) that displays information to be provided to a user. For example, the display means 300 may be a user terminal (mobile terminal) owned by the user. In this case, the display means 300 is realized by, for example, a smartphone, a mobile phone, a PDA (Personal Digital Assistant), a tablet terminal, a notebook PC (Personal Computer), or the like. For example, the display means 300 is connected to devices included in the biological information measurement system 1, such as the estimation means 200, via a predetermined network so as to be able to communicate with each other by wire or wirelessly.

[0060] The display means 300 transmits and receives information to and from the estimation means 200. The display means 300 receives information to be provided to the user from the estimation means 200. The display means 300 receives a score calculated as estimated health information of the user from the estimation means 200. The display means 300 displays information including the score calculated as estimated health information of the user.

[0061] In Fig. 3, the display means 300 displays the score calculated as the user's health estimation information as the user's intestinal environment score. For example, the display means 300 displays the user's intestinal environment score in chronological order for each date and time of excretion. The display means 300 displays the target score value, information showing the change over time in the user's intestinal environment score, and text information showing the evaluation. For example, the display means 300 may request information from the estimation means 200 and display the information obtained from the estimation means 200.

[0062] Note that the above is merely an example, and the biological information measuring system 1 can adopt any device configuration as long as it can realize the desired processing. In the biological information measuring system 1, the toilet seat device 2 may have a configuration other than the display means 300. For example, the toilet seat device 2 may have a measuring device 4, a control device 100, and an estimation means 200. Also, for example, the display means 300 does not have to be included in the biological information measuring system 1, or may be included in the biological information measuring system 1. For example, when the display means 300 is the operation device 30 of the toilet room R, the display means 300 may be included in the biological information measuring system 1. In this case, the operation device 30 has a function of displaying estimated health information of the user.

[0063] <1-4. User behavior and system operation> Next, an example of the relationship between the movement (behavior) of a user who uses the biological information measuring system 1 and the movement (operation) of the biological information measuring system 1 will be described with reference to Fig. 4. Fig. 4 is a diagram showing an example of the relationship between the behavior of a user and the operation of the system.

[0064] First, a flow of actions of a user who uses the toilet R to defecate will be described with reference to Fig. 4. A user of the toilet R performs actions in stages 1 to 7 as shown in Fig. 4.

[0065] First, the user performs the action of entering toilet room R as a first stage action. After entering toilet room R, the user performs the action of undressing inside toilet room R as a second stage action. After undressing, the user performs the action of sitting on toilet seat 5 in toilet room R as a third stage action. After sitting on toilet seat 5, the user performs the action of defecating into bowl portion 8 of toilet 7 as a fourth stage action.

[0066] After defecating, the user performs finishing actions such as using the toilet seat device 2's local cleansing function or using toilet paper to clean the local area after defecation, as a fifth stage action. After completing finishing after defecation, the user stands up and leaves the toilet seat 5, as a sixth stage action. After leaving the seat, the user performs seventh stage actions such as flushing the toilet bowl 7, leaving the toilet room R, and checking the results of the defecation gas analysis by the vital information measurement system 1.

[0067] Next, the flow of operations of the bioinformation measurement system 1 corresponding to the above-mentioned user's behavior will be described. The bioinformation measurement system 1 starts aspirating gas before the user who entered the toilet room R starts defecation. In FIG. 4, the bioinformation measurement system 1 starts aspirating gas between the first stage and the third stage. As a result, the bioinformation measurement system 1 completes measurement preparation before the user defecates. For example, the bioinformation measurement system 1 aspirates gas in the bowl portion 8 before the user defecates, thereby aspirating gas that serves as a reference (baseline) for comparison with the gas after the user defecates. For example, the bioinformation measurement system 1 calculates the increment (increase) from the baseline to estimate (calculate) the amount of components contained in the defecation gas.

[0068] The vital information measuring system 1 measures the defecation gas of the user from the time the user defecates until the time the user leaves the seat. In Fig. 4, the vital information measuring system 1 measures the defecation gas of the user from before the fourth stage to the fifth stage. In this way, the vital information measuring system 1 aspirates the gas at any time while the user is seated and acquires data.

[0069] After the measurement of the defecation gas is completed, the bioinformation measurement system 1 performs an analysis of the defecation gas. In FIG. 4, the bioinformation measurement system 1 performs an analysis of the defecation gas of the user between the sixth and seventh stages. As a result, after the user finishes defecation, the bioinformation measurement system 1 performs an analysis based on the information of the defecation gas (result) acquired about the user, and calculates a score. The bioinformation measurement system 1 analyzes the defecation gas of the user, and provides the analysis result to the user. The analysis and the provision of the result are not limited to the sixth to seventh stages, and may be performed at any timing as long as the information can be provided. For example, the bioinformation measurement system 1 may provide various information such as the analysis and the result at any timing, such as during measurement or immediately after the measurement is completed.

[0070] <1-5. Functional configuration of the toilet seat device> Next, the functional configuration of the toilet seat device 2 will be described with reference to Fig. 5. Fig. 5 is a block diagram showing an example of the configuration of the toilet seat device according to the embodiment. As shown in Fig. 5, the toilet seat device 2 includes a human sensor 32, a seating sensor 33, an illuminance sensor 34, a control device 100, a nozzle motor 61, and a washing nozzle 6.

[0071] The configuration of the toilet seat device 2 shown in FIG. 5 is merely an example, and when each component is provided separately, the toilet seat device 2 may have only the toilet seat 5. Thus, the configuration of the toilet seat device 2 shown in FIG. 5 is merely an example, and the toilet seat device 2 may have any configuration. The human presence sensor 32, the seating sensor 33, the illuminance sensor 34, and the like may be disposed at any location as long as the desired sensing is possible. Furthermore, the toilet seat device 2 only needs to be capable of detecting a user sitting on the toilet seat 5, and may have at least one of the human presence sensor 32, the seating sensor 33, and the illuminance sensor 34. The toilet seat device 2 transmits and receives information to and from an information processing device such as the estimation means 200 via a predetermined network (such as the Internet) by a communication device (such as the communication unit 110 of the control device 100 in FIG. 6) in a wired or wireless manner.

[0072] The human sensor 32 has a function of detecting a human body. For example, the human sensor 32 is used as a seating detection means for detecting a user sitting on the toilet seat 5. For example, the human sensor 32 is realized by a pyroelectric sensor using an infrared signal. For example, the human sensor 32 may be realized by a μ (micro) wave sensor. For example, the human sensor 32 is an infrared light emitting / receiving distance measuring sensor, and may detect a human body present near the toilet seat 5 immediately before the person (user) sits on the toilet seat 5, or a user sitting on the toilet seat 5.

[0073] The human presence sensor 32 also functions as a seat leaving detection sensor that detects when a user leaves the toilet seat 5. The human presence sensor 32 detects whether the user is seated on the toilet seat 5. The human presence sensor 32 outputs a detection signal to the control device 100. Note that the above is just an example, and the human presence sensor 32 may detect a human body by various means other than the above. For example, the human presence sensor 32 detects a person (such as a user) approaching the toilet seat 5.

[0074] The seating sensor 33 has a function of detecting a person sitting on the toilet seat device 2. For example, the seating sensor 33 is used as a seating detection means for detecting a user sitting on the toilet seat 5. For example, the seating sensor 33 is realized by a load sensor or the like. The seating sensor 33 detects that a user is sitting on the toilet seat 5. The seating sensor 33 is capable of detecting that a user is sitting on the toilet seat 5.

[0075] The seating sensor 33 also functions as a seating detection sensor that detects a user leaving the toilet seat 5. The seating sensor 33 detects the user's seated state on the toilet seat 5. Note that the above is just an example, and the seating sensor 33 may detect a person sitting on the toilet seat device 2 by various means other than the above. The seating sensor 33 outputs a seating detection signal to the control device 100.

[0076] The illuminance sensor 34 is a sensor that detects illuminance. For example, the illuminance sensor 34 is used as a seating detection means that detects a user sitting on the toilet seat 5. For example, the illuminance sensor 34 is disposed at a position facing the bowl portion 8, and detects the illuminance inside the bowl portion 8.

[0077] The illuminance sensor 34 also functions as a seating detection sensor that detects when a user leaves the toilet seat 5. The illuminance sensor 34 detects the user's seated state on the toilet seat 5. Note that the above is merely an example, and the illuminance sensor 34 may be placed in any position as long as it is possible to detect when a user is sitting on the toilet seat 5 based on the illuminance.

[0078] The control device 100 controls various configurations and processes. The control device 100 is a computer (information processing device) that executes various information processes related to gas measurement, etc. The control device 100 may be any device having a configuration required for control, and may be, for example, a microcomputer.

[0079] The control device 100 controls various components for measuring gas. For example, the control device 100 controls various valves such as a switching valve and a shutoff valve. For example, the control device 100 controls a flow path through which gas flows by controlling a switching valve. For example, the control device 100 switches the flow path through which gas flows by switching a switching valve. The control device 100 controls the gas detection device 20.

[0080] The control device 100 controls the gas detection device 20 to start or stop defecation gas measurement in response to the user's use of the toilet room R. For example, the control device 100 instructs the gas detection device 20 to start defecation gas measurement in response to the user sitting on the toilet seat 5, and instructs the gas detection device 20 to stop defecation gas measurement in response to the user leaving the toilet seat 5.

[0081] The control device 100 transmits control information to the gas detection device 20 via a wired connection. The control device 100 may transmit the control information to the gas detection device 20 wirelessly. For example, when the control device 100 is configured as a device separate from the toilet seat device 2, the control device 100 may transmit the control information of the gas detection device 20 to the toilet seat device 2 wirelessly. In this case, the control device of the toilet seat device 2 may control the gas detection device 20 based on the control information received.

[0082] The control device 100 may control the suction device 10. For example, the control device 100 controls the start and stop of suction by the suction device 10. The control device 100 transmits control information to the suction device 10 via a wired connection. The control device 100 may transmit the control information to the suction device 10 wirelessly. For example, when the control device 100 is configured as a device separate from the toilet seat device 2, the control device 100 may transmit the control information of the suction device 10 to the toilet seat device 2 wirelessly. In this case, the control device of the toilet seat device 2 may control the suction device 10 based on the control information received.

[0083] In addition to the above, the control device 100 also controls various components of the biological information measuring system 1. The control device 100 controls the nozzle motor 61, etc. Based on a signal transmitted from the operation device 30, the control device 100 controls the nozzle motor 61, etc.

[0084] The control device 100 controls the nozzle motor 61 based on a control instruction signal related to local cleaning transmitted from the operation device 30. The control device 100 controls the nozzle motor 61 to advance and retreat the cleaning nozzle 6. The control device 100 may control various mechanisms other than the nozzle motor 61. For example, the control device 100 controls the opening and closing of a solenoid valve that functions as a valve that electromagnetically controls the flow of a fluid. For example, the control device 100 controls the solenoid valve to switch between supplying and stopping tap water from a water supply pipe, for example.

[0085] The control device 100 transmits control information to the nozzle motor 61 etc. via a wired connection. The control device 100 may also transmit control information to the nozzle motor 61 etc. wirelessly. For example, when the control device 100 is configured as a device separate from the toilet seat device 2, it may transmit control information for the nozzle motor 61 etc. to the toilet seat device 2 wirelessly. In this case, the control device of the toilet seat device 2 may control the nozzle motor 61 etc. based on the control information received.

[0086] The control device 100 may also control a toilet lid 9 and a toilet seat 5 as shown in FIG. 1. In this case, the control device 100 controls the toilet lid 9 and the toilet seat 5 based on a signal transmitted from the operation device 30. The control device 100 controls the toilet lid 9 based on a control instruction signal transmitted from the operation device 30 regarding opening and closing of the toilet lid. The control device 100 controls the toilet seat 5 based on a control instruction signal transmitted from the operation device 30 regarding opening and closing of the seat. The control device 100 transmits control information to the toilet lid 9 and the toilet seat 5 via a wired connection. The control device 100 may also transmit control information to the toilet lid 9 and the toilet seat 5 wirelessly.

[0087] The control device 100 determines whether or not a user is seated by seating detection means such as the human sensor 32, the seating sensor 33, and the illuminance sensor 34. The control device 100 determines whether or not a user is seated on the toilet seat 5 based on defecation action use prediction information based on detection by the seating detection means obtained from the seating detection means.

[0088] The nozzle motor 61 is a drive source (motor) that drives the cleaning nozzle 6 to advance and retract. The nozzle motor 61 executes control to advance and retract the cleaning nozzle 6 relative to the main body 3. The nozzle motor 61 executes control to advance and retract the cleaning nozzle 6 in response to an instruction from the control device 100.

[0089] In the configuration shown in FIG. 5, the toilet seat device 2 includes the control device 100 and the like as an example, but the control device 100, the human sensor 32, the seating sensor 33, the illuminance sensor 34, and the like may be configured as devices separate from the toilet seat device 2. For example, the control device 100 may be configured as a device separate from the toilet seat device 2. For example, the control device 100 may be a server device and may be located at a position separated from the toilet seat device 2. In this case, the control device 100 communicates with each device such as the toilet seat device 2, the human sensor 32, the seating sensor 33, and the illuminance sensor 34, and receives various information from each device. In addition, in this case, the toilet seat device 2 may have a configuration (such as a control circuit) for controlling various components of the toilet seat device 2, such as the nozzle motor 61. Note that the above is merely an example, and the biological information measurement system 1 can adopt any device configuration as long as it is capable of performing the desired processing.

[0090] <1-6. Functional configuration of the control device> Hereinafter, the functional configuration of the control device will be described with reference to FIG. 6. FIG. 6 is a block diagram showing an example of the configuration of the control device according to the embodiment. As shown in FIG. 6, the control device 100 has a communication unit 110, a storage unit 120, and a control unit 130. Note that the configuration of the control device 100 is not limited to the configuration shown in FIG. 6, and may be other configurations as long as the desired processing can be realized. For example, the control device 100 does not need to have the communication unit 110.

[0091] The communication unit 110 is realized by, for example, a communication circuit or the like. The communication unit 110 is connected to a predetermined network by wire or wirelessly, and transmits and receives information to and from an external information processing device. For example, the communication unit 110 is connected to a predetermined network by wire or wirelessly, and transmits and receives information to and from other devices such as the operation device 30. The communication unit 110 may be configured as a device (communication device) separate from the control device 100, and may be included in the toilet seat device 2.

[0092] The storage unit 120 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. For example, the storage unit 120 is a computer-readable recording medium that non-temporarily records data used by various information processing programs.

[0093] The storage unit 120 according to the embodiment stores various information required for processing. The storage unit 120 stores various information acquired from other devices such as various sensors. The storage unit 120 stores various information used in various information processing. The storage unit 120 stores information used in various processing. For example, the storage unit 120 stores information related to thresholds used in processing, such as a first threshold, a second threshold, etc.

[0094] The storage unit 120 stores information indicating a predetermined condition used to determine whether or not the information can be changed. The storage unit 120 stores information indicating the predetermined condition including at least one of the following: the first calculated value or the second calculated value exceeds a first threshold value, or the third calculated value falls below a second threshold value that is smaller than the first threshold value. The storage unit 120 stores information indicating the predetermined condition including the second calculated value exceeds a zeroth calculated value corresponding to odorous gas and hydrogen gas calculated based on the detection result of the second gas sensor. The storage unit 120 functions as a storage means for storing past first information. The storage unit 120 stores various types of history information such as the results of past estimation processes and information output in the past.

[0095] Returning to Fig. 6, the description will be continued. The control unit 130 is realized, for example, by an MPU (Micro Processing Unit), a CPU (Central Processing Unit), or the like executing a program (for example, various information processing programs related to the present disclosure) stored inside the control device 100 using a RAM or the like as a working area. The control unit 130 may also be realized, for example, by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0096] 6, the control unit 130 has an acquisition unit 131, a processing unit 132, and an output unit 133, and realizes or executes the functions and actions of information processing described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 6, and may be other configurations as long as they perform the information processing described below.

[0097] The acquisition unit 131 acquires various information. The acquisition unit 131 acquires various information from the storage unit 120. The acquisition unit 131 receives information from other devices. The acquisition unit 131 receives information (detection information, etc.) detected by various sensors from various sensors.

[0098] The acquisition unit 131 acquires information (detection information, etc.) detected by the seating detection means from the seating detection means. The acquisition unit 131 receives information (detection information, etc.) detected by at least one of the human sensor 32, the seating sensor 33, and the illuminance sensor 34 from the sensor.

[0099] The acquisition unit 131 acquires defecation action use prediction information based on detection by the seating detection means. For example, the acquisition unit 131 acquires defecation action use prediction information indicating that the user is seated.

[0100] Processing unit 132 performs various processes. Processing unit 132 performs various processes using information stored in storage unit 120. Processing unit 132 controls gas detection apparatus 20.

[0101] The processing unit 132 performs a determination process. The processing unit 132 performs the determination process using various information stored in the storage unit 120. The processing unit 132 uses various information acquired by the acquisition unit 131 to determine whether or not to execute reference value control.

[0102] The processing unit 132 performs a calculation process. The processing unit 132 performs the calculation process using various pieces of information stored in the storage unit 120. The processing unit 132 performs the calculation process using various pieces of information acquired by the acquisition unit 131.

[0103] The processing unit 132 calculates various pieces of information related to the gas. The processing unit 132 calculates values ​​based on the measured values ​​measured by the gas detection device 20. The processing unit 132 calculates the resistance value of the sensor element based on the voltage value measured by the gas sensor 40. For example, the processing unit 132 calculates the resistance value of the sensor element from the measured voltage value using a function that indicates the relationship between the voltage value and the resistance value of the sensor element. The processing unit 132 calculates the reciprocal of the resistance value of the sensor element (also referred to as the "calculated value") using formula (1).

[0104] The processing unit 132 may calculate the gas concentration based on the calculated resistance value of the sensor element. In this case, the processing unit 132 calculates the gas concentration from the calculated resistance value using a function that indicates the relationship between the resistance value and the gas concentration.

[0105] The processing unit 132 executes an estimation process to estimate information for estimating the health condition of the user (health estimation information) or information related thereto, based on a first calculated value corresponding to hydrogen gas obtained based on the detection result of the gas sensor 40a, which is the first gas sensor, and a third calculated value corresponding to an odorous gas. Note that, when the estimation means 200 executes the estimation process, the processing unit 132 does not need to execute the estimation process.

[0106] The processing unit 132 calculates a second calculation value corresponding to hydrogen gas of the gas sensor 40b based on a plurality of calculation values ​​corresponding to hydrogen gas contained in the gas. The processing unit 132 calculates a third calculation value corresponding to the odorous gas based on the detection result of the gas sensor 40b and the second calculation value. The processing unit 132 calculates the second calculation value using a plurality of calculation values ​​including the first calculation value corresponding to hydrogen gas obtained based on the detection result of the gas sensor 40a.

[0107] The processing unit 132 calculates a second calculated value which is a statistical value of a plurality of calculated values ​​obtained by measuring the gas in the sealed space a plurality of times with the gas sensor 40a. The processing unit 132 calculates a second calculated value which is a statistical value of a plurality of calculated values ​​obtained by measuring the gas in the storage unit a plurality of times. The processing unit 132 calculates a second calculated value which is a statistical value of one or a plurality of calculated values ​​obtained by measuring the gas in the flow path once or a plurality of times.

[0108] The processing unit 132 calculates a second calculation value using a plurality of calculation values ​​including the first calculation value and a fourth calculation value corresponding to hydrogen gas obtained based on the detection result of the gas sensor 40c. For example, the processing unit 132 determines that the user's defecation gas does not contain methane gas when the difference between the amount or concentration calculated from the first calculation value and the amount or concentration calculated from the fourth calculation value is equal to or less than a predetermined value. For example, the processing unit 132 determines that the user's defecation gas contains methane gas when the difference between the amount or concentration calculated from the first calculation value and the amount or concentration calculated from the fourth calculation value is greater than a predetermined value.

[0109] When the processing unit 132 determines that the user's fecal gas contains methane gas, the processing unit 132 uses the gas sensor 40c as a sensor for detecting methane gas. When the processing unit 132 determines that the user's fecal gas does not contain methane gas, the processing unit 132 uses the gas sensor 40c as a sensor for detecting hydrogen gas.

[0110] The processing unit 132 calculates a first calculation value corresponding to hydrogen gas based on the detection result of the gas sensor 40a, which is the first gas sensor. The processing unit 132 calculates a second calculation value corresponding to hydrogen gas of the gas sensor 40b, which is the second gas sensor, based on the first calculation value. When the gas sensor 40c is used as a sensor for detecting hydrogen gas, the processing unit 132 calculates the second calculation value based on the first calculation value and the fourth calculation value. The processing unit 132 calculates a third calculation value corresponding to the odorous gas based on the detection result of the gas sensor 40b and the second calculation value.

[0111] The processing unit 132 performs correction on at least one of the zeroth calculation value, the second calculation value, and the third calculation value corresponding to the odorous gas and hydrogen gas calculated based on the detection result of the gas sensor 40b. As the correction, the processing unit 132 performs correction to decrease the second calculation value or to increase the zeroth calculation value.

[0112] The processing unit 132 performs a correction when the first calculated value or the second calculated value exceeds a first threshold value, or when the third calculated value falls below a second threshold value that is smaller than the first threshold value. The processing unit 132 performs a correction when the second calculated value exceeds a zero calculated value. The processing unit 132 has a correction value preset as a value corresponding to an odorous gas, and when the third calculated value falls below the third threshold value, the processing unit 132 replaces the third calculated value with the correction value as a correction.

[0113] When at least one of the first, second, and third calculated values ​​satisfies a predetermined condition, the processing unit 132 performs control to change the first information, which is the user's health condition or information related to the health condition output by the output means, without being based on the third calculated value. When the predetermined condition is satisfied, the processing unit 132 changes the value included in the first information to a preset setting value.

[0114] The processing unit 132 changes the first information based on the past first information stored in the storage unit. If a predetermined condition is satisfied, the processing unit 132 determines to output the second information related to the measurement accuracy. If a predetermined condition is satisfied, the processing unit 132 determines to output the third information related to the measurement error.

[0115] The output unit 133 executes an output process to output various information. The output unit 133 functions as a transmission unit to transmit various information. The output unit 133 executes the output process by transmitting information to an external information processing device. The output unit 133 transmits information to an external information processing device. For example, the output unit 133 transmits various information to the estimation means 200. For example, the output unit 133 transmits various information to an administrator device such as a personal computer or smartphone used by an administrator of the estimation means 200. The output unit 133 may also execute the output process by transmitting information to the operation device 30 (or the display screen 31).

[0116] The output unit 133 transmits various information used by the estimation unit 200 in the estimation process to the estimation unit 200. The output unit 133 transmits information indicating the measurement values ​​measured by the gas detection apparatus 20. The output unit 133 transmits information indicating the calculation values ​​calculated by the processing unit 132.

[0117] The output unit 133 outputs each piece of information such as content. When a predetermined condition is satisfied, the output unit 133 outputs information including a changed score obtained by changing the score, which is the original data. When a predetermined condition is not satisfied, the output unit 133 outputs information including the score, which is the original data. When a predetermined condition is satisfied, the output unit 133 outputs second information related to measurement accuracy. When a predetermined condition is satisfied, the output unit 133 outputs third information related to measurement error.

[0118] <1-7.Gas sensors> From here, a configuration example of a gas sensor will be described with reference to Fig. 7. Fig. 7 is a diagram showing an example of the configuration of a gas sensor. Specifically, Fig. 7 is a diagram showing an example of a circuit configuration CR of a semiconductor gas sensor 40.

[0119] The gas sensor 40 includes a sensor element and a resistance element for measurement. In Fig. 7, the gas sensor 40 has a circuit configuration CR in which a sensor element (corresponding to the sensor resistor RS in Fig. 7) and a resistance element for measurement (corresponding to the resistance element RL in Fig. 7) are connected in series.

[0120] In the semiconductor gas sensor 40, a value related to the amount of gas is calculated using the following formula (1): Formula (1) corresponds to the circuit configuration CR shown in FIG.

[0121] RS =((Vc-Vout) / Vout)×RL… (1)

[0122] "RS" in formula (1) represents the resistance value of the sensor element. For example, "RS" in formula (1) represents the resistance value of the sensor resistor RS, which is an example of a value calculated based on the measurement by the gas sensor 40. In this way, formula (1) is a formula for calculating the resistance value.

[0123] "RL" in equation (1) represents the resistance value of the resistive element RL. "Vc" in equation (1) represents the voltage value of the circuit voltage Vc. "Vout" in equation (1) represents the voltage value of the output voltage Vout at the resistive element. For example, "Vout" in equation (1) represents the voltage value of the resistive element RL, which is an example of a measured value measured by the gas sensor 40.

[0124] The resistance value of the sensor resistor RS in formula (1) is an index related to the amount of gas. The biological information measurement system 1 calculates an index (resistance value) related to the amount of gas from a measured value (voltage value), and calculates the amount of gas from the calculated resistance value. Although a detailed explanation of the principles of a semiconductor gas sensor will be omitted, for example, "RH" shown only in the circuit configuration CR in FIG. 7 corresponds to a heater (resistance) for heating the sensor element, and "V H " corresponds to the heater voltage. Note that the gas sensor in the present invention is not limited to a semiconductor sensor, and any sensor that satisfies the above formula (1) can be used.

[0125] <1-8. Overview of processing in the bioinformation measurement system> From here, a description will be given of a processing example assuming the configuration of the above-mentioned biological information measuring system 1. First, before describing various processes in the biological information measuring system 1, a description will be given of the gas sensor, the relationship between the value based on the measurement of the gas sensor and the amount of gas, etc. Note that the description of the same points as those described above will be omitted as appropriate.

[0126] <1-8-1. Example of relationship between gas sensor measurement and quantity> First, the relationship between the measurement and the amount of gas sensor will be described with reference to Fig. 8. Fig. 8 is a diagram showing an example of the relationship between the value based on the measurement of the sensor and the amount of gas.

[0127] For example, Fig. 8 shows graph GR11, which is a double logarithmic graph of the calculated value (the reciprocal of the resistance value) of component A based on measurement by a gas sensor and the gas amount (also simply referred to as "amount") of component A. Specifically, in graph GR11 in Fig. 8, the vertical axis is the calculated value of component A "1 / kΩ" and the horizontal axis is the amount of component A "mL."

[0128] The points (◯) in the graph GR11 correspond to actual measurement results performed to derive the relationship between the gas sensor measurement and the amount, and indicate the calculated value of component A obtained from the actual measurement results using a gas sensor for a gas containing the amount of component A corresponding to the horizontal axis. Note that, for the sake of explanation, only five points (actual measurement results) are shown in Fig. 8, but the actual measurement results may be six or more, or four or less.

[0129] Line LN1 of graph GR11 shows the relationship between the calculated value derived from component A and the gas amount of component A. The equation (function) corresponding to line LN1 is a regression equation for calculating (estimating) the gas amount from the calculated value for component A. For example, the equation (function) corresponding to line LN1 is derived by regression analysis using points (actual measurement results) in graph GR11.

[0130] In this way, the calculated value derived from component A based on the measurement of the gas sensor and the amount of component A are linearly correlated on the log scale. Therefore, the gas amount of component A can be calculated from the calculated value such as the peak value of the gas sensor. That is, the gas amount of each component can be calculated from the calculated value based on the measurement of each of the multiple gas sensors. By calculating the gas amount of each component, the biological information measurement system 1 can calculate the ratio relationship between the amount of health gas, which is the sum of the gas amounts of components corresponding to health gas, and the amount of odorous gas, which is the sum of the gas amounts of components corresponding to odorous gas.

[0131] <1-8-2. Gas sensor and reaction component examples> Next, an example of a gas sensor and a reactive component will be described with reference to FIG. 9. FIG. 9 is a diagram showing an example of a gas sensor and a reactive component. A correspondence table TB11 in FIG. 9 shows the correspondence between each gas sensor and the component to which the gas sensor reacts. In FIG. 9, a case where the gas sensor reacts to the component is shown as "O", and a case where the gas sensor does not react to the component is shown as "X". As shown in the correspondence table TB11 in FIG. 9, the components to which each gas sensor reacts are different.

[0132] 9, the first gas sensor (hydrogen gas sensor) is a sensor that reacts only to hydrogen (H2). For example, the gas sensor 40a is the first gas sensor (hydrogen gas sensor). For example, the gas sensor 40a of the biological information measurement system 1 is a gas sensor that reacts only to hydrogen, that is, a gas sensor in which the resistance value of the sensor resistor RS in the formula (1) changes with the change in the amount of hydrogen.

[0133] When the first gas sensor shown in FIG. 9 reacts only to hydrogen, the calculated value derived from hydrogen contained in the user's bowel gas is expressed by the following formula (2).

[0134] 1 / R s_1 =1 / R air +1 / R H2_1 … (2)

[0135] In formula (2), "R s_1" corresponds to the resistance value of the sensor resistor RS of the first gas sensor. For example, "R s_1 " is the resistance value of the sensor resistor RS calculated from the measurement value of the first gas sensor.

[0136] In formula (2), "R air " corresponds to the resistance value derived from the baseline in the first gas sensor. For example, "R air " is the resistance value due to the air in the bowl portion 8 before the user's bowel gas is released.

[0137] In addition, in the formula (2), "R H2_1 " corresponds to the resistance value due to hydrogen gas in the first gas sensor. For example, "R H2_1 " is the resistance value derived from hydrogen contained in the bowel gas released by the user.

[0138] In formula (2), "R s_1 " and "R air " is a calculated value based on the measurement by the first gas sensor, and is detected (obtained) by the measurement by the first gas sensor. Therefore, the biological information measurement system 1 substitutes the value obtained by the measurement by the first gas sensor into the formula (2), thereby obtaining "R H2_1 " is calculated.

[0139] On the other hand, in FIG. 9, the second gas sensor (odor gas sensor) is a sensor that reacts to odor gases (H2S, etc.) but also to hydrogen (H2). For example, the gas sensor 40b of the biological information measurement system 1 is the second gas sensor (odor gas sensor). For example, the gas sensor 40b is a gas sensor that reacts to odor gases and hydrogen, that is, the resistance value of the sensor resistor RS in formula (1) changes with changes in the amount of odor gas and the amount of hydrogen. In this embodiment, the components of the detection unit used in the hydrogen gas sensor are adjusted so that it reacts strongly to hydrogen gas, and the detection unit used in the odor gas sensor is adjusted so that it reacts strongly to odor gas.

[0140] In the case of the second gas sensor shown in FIG. 9, which reacts to odorous gases and hydrogen, the calculated value derived from the odorous gas contained in the user's fecal gas is expressed by the following formula (3).

[0141] 1 / R s_2 =1 / R air +1 / R H2_2 +1 / R H2S_2 … (3)

[0142] In formula (3), "R s_2 " corresponds to the resistance value of the sensor resistor RS of the second gas sensor. For example, "R s_2 " is the resistance value of the sensor resistor RS calculated from the measurement value of the second gas sensor.

[0143] In formula (3), "R air " corresponds to the resistance value derived from the baseline in the second gas sensor. For example, "R air " is the resistance value due to the air in the bowl portion 8 before the user's bowel gas is released.

[0144] In addition, in the formula (3), "R H2_2 " corresponds to the resistance value due to hydrogen gas in the second gas sensor. For example, "R H2_2 " is the resistance value derived from hydrogen contained in the bowel gas released by the user.

[0145] In addition, in the formula (3), "R H2S_2 " corresponds to the resistance value due to the odorous gas in the second gas sensor. For example, "R H2S_2 " is the resistance value derived from odorous gases such as hydrogen sulfide contained in the feces gas released by the user.

[0146] In formula (3), "R s_2 " and "R air " is a calculated value based on the measurement by the second gas sensor, and is detected (obtained) by the measurement by the second gas sensor. H2_2 " and "R H2S_2" are undetermined. Therefore, in the biological information measurement system 1, the two variables "R H2S_2 Therefore, the biological information measurement system 1 calculates (estimates) the amount of odorous gas by using information from a gas sensor other than the second gas sensor, as will be described later.

[0147] 9, the third gas sensor (methane gas sensor) is a sensor that reacts to methane (CH4, etc.) but also to hydrogen (H2). For example, the gas sensor 40c of the biological information measurement system 1 is the third gas sensor (methane gas sensor). For example, the gas sensor 40c is a gas sensor that reacts to methane and hydrogen, that is, the resistance value of the sensor resistor RS in formula (1) changes with changes in the amount of methane and the amount of hydrogen.

[0148] 9, the fourth gas sensor (carbon dioxide gas sensor) is a sensor that reacts only to carbon dioxide (CO2). For example, the CO2 sensor of the biological information measurement system 1 is the fourth gas sensor (carbon dioxide gas sensor). For example, the CO2 sensor is an infrared gas sensor that reacts only to carbon dioxide.

[0149] <1-8-3. Example of calculating the amount of odorous gas> As described above, the calculated value (reciprocal of the resistance value) of the second gas sensor (odor gas sensor) is the sum of several types of components. For example, the calculated value (reciprocal of the resistance value) of the second gas sensor is the sum of the calculated value (reciprocal of the resistance value) of the baseline and the calculated value (reciprocal of the resistance value) derived from the reacting components (odor gas + health gas). Therefore, the biological information measuring system 1 derives the calculated value derived from each component by simultaneous equations with equations corresponding to multiple gas sensors. This point will be explained with reference to FIG. 10. FIG. 10 is a diagram showing an example of a calculation process for the amount of odor gas.

[0150] A group of functions FG11 in FIG. 10 shows the formulas (2) to (6) used to calculate (estimate) the amount of odorous gas and their corresponding relationships.

[0151] Equations (2) and (4) show the breakdown of the calculated value in the first gas sensor (hydrogen gas sensor) and the relationship between the calculated value and the gas amount. Note that equation (2) in FIG. 10 is the same as equation (2) described above, and detailed explanation is omitted.

[0152] logH2 amount = log(1 / R H2_1 )*CE1+CS1 … (4)

[0153] In formula (4), the "H2 amount" is the amount of hydrogen gas calculated (estimated) by measurement with the first gas sensor, and the "logH2 amount" corresponds to the log expression (logarithmic value) of the amount of hydrogen gas.

[0154] In formula (4), "R H2_1 " is the resistance value due to hydrogen gas based on the measurement of the first gas sensor, and "log(1 / R H2_1 )" corresponds to the logarithmic expression (logarithmic value) of the calculated value derived from hydrogen gas (the reciprocal of the resistance value).

[0155] "CE1" in formula (4) is "log(1 / R H2_1 ) and is set to an arbitrary value such as "-0.4...". Also, "CS1" in formula (4) is a coefficient related to "log(1 / R H2_1 (4)*CE1” and is set to an arbitrary value such as “1.1…”. For example, the administrator of the vital information measuring system 1 derives the coefficient “CE1” and constant “CS1” included in formula (4) by actual measurements or the like, and sets formula (4).

[0156] Equations (3), (5), and (6) show the breakdown of the calculated value in the second gas sensor (odor gas sensor) and the relationship between the calculated value and the amount of gas. Note that equation (3) in FIG. 10 is the same as equation (3) described above, and detailed explanation is omitted.

[0157] logH2 amount = log(1 / R H2_2 )*CE2+CS2 … (5)

[0158] In formula (5), the "H2 amount" is the amount of hydrogen gas calculated (estimated) by measurement with the second gas sensor, and the "logH2 amount" corresponds to the log expression (logarithmic value) of the amount of hydrogen gas.

[0159] In formula (5), "R H2_2 " is the resistance value due to hydrogen gas based on the measurement of the second gas sensor, and "log(1 / R H2_2 )" corresponds to the logarithmic expression (logarithmic value) of the calculated value derived from hydrogen gas (the reciprocal of the resistance value).

[0160] "CE2" in formula (5) is "log(1 / R H2_2 )" and is set to an arbitrary value such as "-0.8...". Also, "CS2" in formula (5) is "log(1 / R H2_2 (5) is a constant added to "CE2" and an arbitrary value such as "2.0..." is set. For example, an administrator of the vital information measuring system 1 derives the coefficient "CE2" and constant "CS2" included in equation (5) through actual measurements or the like, and sets equation (5).

[0161] logH2S amount = log(1 / R H2S_2 )*CE3+CS3 … (6)

[0162] In formula (6), the "H2S amount" is the amount of odorous gas calculated (estimated) by measurement with the second gas sensor, and the "logH2S amount" corresponds to the log expression (logarithmic value) of the amount of odorous gas.

[0163] In equation (6), "R H2S_2 " is the resistance value due to the odorous gas based on the measurement by the second gas sensor, and "log(1 / R H2S_2 )" corresponds to the logarithmic expression (logarithmic value) of the calculated value (the reciprocal of the resistance value) derived from the odorous gas.

[0164] "CE3" in equation (6) is "log(1 / R H2S_2 )" and is set to an arbitrary value such as "-0.7...". Also, "CS3" in formula (5) is a coefficient related to "log(1 / R H2S_2(6) is set to an arbitrary value such as "1.8...". For example, an administrator of the vital information measuring system 1 derives the coefficient "CE3" and constant "CS3" included in equation (6) through actual measurements or the like, and sets equation (6).

[0165] Next, an example of the process in which the biological information measuring system 1 calculates (estimates) the amount of odorous gas will be described using equations (2) to (6).

[0166] First, the biological information measurement system 1 uses the formulas (2) and (4) to obtain a value related to the amount of hydrogen gas based on the measurement of the first gas sensor. For example, the biological information measurement system 1 uses the value acquired by the measurement of the gas sensor 40a ("R s_1 " and "R air " value of "), and calculate the value of "logH2 amount" in equation (4) using equations (2) and (4).

[0167] Then, the biological information measuring system 1 substitutes the value of “logH2 amount” in the formula (4) into the formula (5) to obtain “R H2S_2 " is calculated.

[0168] Then, the biological information measuring system 1 calculates "R H2S_2 " value into equation (3), and "R H2S_2 For example, the biological information measurement system 1 calculates the value of "R H2S_2 " value, the value obtained by measurement with the gas sensor 40b ("R s_2 " and "R air " value) into equation (3), and "R H2S_2 For example, the biological information measurement system 1 calculates the value of "R H2S_2 " into equation (6) to find the value of "H2S amount" in equation (6).

[0169] In this way, the biological information measurement system 1 calculates (estimates) the amount of odorous gas by subtracting the influence of hydrogen gas from the output of the second gas sensor (odorous gas sensor). Note that the above-mentioned process is merely an example, and the biological information measurement system 1 may execute any process as long as it is capable of calculating (estimating) the amount of odorous gas.

[0170] <1-8-4. Issues in calculating the amount of odorous gas> From here, the problem in calculating the amount of odorous gas using the measurement by the hydrogen gas sensor as described above will be described with reference to Fig. 11. Fig. 11 is a diagram showing an overview of the calculation of the amount of odorous gas.

[0171] The measurement MS2 in FIG. 11 corresponds to the measurement of the second gas sensor (odor gas sensor). For example, the waveform in the measurement MS2 indicates the sensor output (e.g., a voltage value). In the odor gas calculation process, the zeroth calculation value ZV1 is calculated as the zeroth calculation value corresponding to hydrogen gas and odor gas obtained based on the detection result in the measurement MS2 of the second gas sensor (step S10). For example, the length of the zeroth calculation value ZV1 indicates the magnitude of the value of the zeroth calculation value ZV1. The zeroth calculation value ZV1 in FIG. 11 includes a first mixture value HV1, which is a value corresponding to hydrogen gas, and a second mixture value OV1, which is a value corresponding to odor gas.

[0172] For example, the first mixed value HV1 is expressed as "R H2_2 For example, the second mixed value OV1 is the correct value corresponding to "R H2S_2 11 illustrates the breakdown of the first mixed value HV1 and the second mixed value OV1 in the zeroth calculated value ZV1 for the sake of explanation, but in reality, it is estimated based on the third calculated value described later.

[0173] The measurement MS1 in FIG. 11 corresponds to a measurement by a first gas sensor (hydrogen gas sensor). For example, a waveform during the measurement MS1 indicates a sensor output (e.g., a voltage value). In the odorous gas calculation process, a first calculation value FV1 is calculated as a first calculation value corresponding to hydrogen gas obtained based on the detection result in the measurement MS1 by the first gas sensor (step S11). For example, the first calculation value FV1 is calculated as "R H2_1 " corresponds to "Calculate the amount of hydrogen gas calculated from the measurement value of the first gas sensor." A calculated value relating to the amount of hydrogen gas calculated from the measurement value of the first gas sensor is referenced. Note that the numbers such as step S11 are used to distinguish and explain each process, and do not indicate the order of processes. For example, step S11 may be executed before step S10.

[0174] In the odorous gas calculation process, the second calculation value SV1 is calculated as a second calculation value corresponding to hydrogen gas of the second gas sensor based on the first calculation value FV1 (step S12). For example, the second calculation value SV1 is calculated by subtracting "R H2_2 " is an estimated value corresponding to ". A second calculation value derived from hydrogen gas contained in the second gas sensor is calculated from the first calculation value FV1. For example, when the processing unit 132 determines that the user's fecal gas does not contain methane gas, it calculates a second calculation value SV1 corresponding to hydrogen gas in the second gas sensor based on the first calculation value FV1.

[0175] In the odorous gas calculation process, the third calculation value TV1 is calculated as a third calculation value corresponding to the odorous gas based on the zeroth calculation value ZV1 and the second calculation value SV1 (step S13). The third calculation value TV1 is calculated as the third calculation value corresponding to the odorous gas by subtracting the second calculation value SV1 from the zeroth calculation value ZV1. For example, the third calculation value TV1 is calculated as the third calculation value corresponding to the odorous gas by subtracting the "R H2S_2 " is an estimated value corresponding to ". In the odorous gas calculation process, the amount of odorous gas is calculated (estimated) using the third calculation value TV1 calculated by the process described above, so measurement variation in the first gas sensor affects the final calculation (estimate) of the amount of odorous gas. Therefore, in the odorous gas calculation process, problems may arise in calculating the amount of odorous gas.

[0176] From here, specific examples of problems in calculating the amount of odorous gas will be described with reference to Fig. 12 and Fig. 13. Fig. 12 and Fig. 13 are diagrams showing an example of the effect of measurement variation of a gas sensor on calculation. Note that explanations of points similar to those explained in Fig. 11 etc. will be omitted as appropriate.

[0177] First, a problem that may arise even when a certain amount of odorous gas is present will be described with reference to FIG.

[0178] The zeroth calculated value ZV2 is a zeroth calculated value corresponding to hydrogen gas and odorous gas obtained based on the detection result in the measurement of the second gas sensor. The zeroth calculated value ZV2 in FIG. 12 includes a first mixture value HV2, which is a value corresponding to hydrogen gas, and a second mixture value OV2, which is a value corresponding to odorous gas.

[0179] For example, the first mixed value HV2 is expressed as "R H2_2 For example, the second mixed value OV2 is the correct value corresponding to "R H2S_2 " is an accurate value (correct value). For the sake of explanation, FIG. 12 illustrates the breakdown of the first mixed value HV2 and the second mixed value OV2 in the zeroth calculated value ZV2, but in reality, this is estimated based on the third calculated value described later.

[0180] The second calculated value SV2 in FIG. 12 is calculated based on the first calculated value corresponding to hydrogen gas obtained based on the detection result in the measurement of the first gas sensor. The second calculated value SV2 is the second calculated value corresponding to hydrogen gas of the second gas sensor. For example, the second calculated value SV2 is calculated based on the "R H2_2 " is the estimated value corresponding to

[0181] Here, if there is a measurement variation in the first gas sensor, the measurement variation is also reflected in the second calculated value SV2. Fig. 12 shows an example in which the measurement error of the second calculated value SV2 caused by the measurement variation of the first gas sensor is ±20%. The measurement error ME2 in Fig. 12 visualizes the measurement error of ±20% in the second calculated value SV2, and the value of the second calculated value SV2 may vary between the upper and lower ends of the measurement error ME2.

[0182] When the measurement error of the first gas sensor is at its maximum in the negative direction (e.g., a measurement error of -20%), the second calculated value SV2 is a value corresponding to the length to the upper end of the measurement error ME2. In this case, the second calculated value SV2 is the smallest value, and the amount of hydrogen gas is estimated to be low.

[0183] When the measurement error of the first gas sensor is at its maximum in the positive direction (for example, measurement error +20%), the second calculated value SV2 is a value corresponding to the length to the lower end of the measurement error ME2. In this case, the second calculated value SV2 is the largest value, and the amount of hydrogen gas is estimated to be large.

[0184] The third calculated value TV2 is calculated as a third calculated value corresponding to the odorous gas based on the zeroth calculated value ZV2 and the second calculated value SV2 (step S21). For example, the third calculated value TV2 is calculated by subtracting "R H2S_2 " is the estimated value corresponding to

[0185] Here, a measurement error of ±20% in the second calculated value SV2 affects the third calculated value TV2. The error range ER2 in Fig. 12 visualizes an error that may occur in the third calculated value TV2 due to a measurement error in the second calculated value SV2, and when the measurement error in the second calculated value SV2 is ±20%, the third calculated value TV2 may fluctuate between the upper and lower ends of the error range ER2.

[0186] When the measurement error in the second calculation value SV2 is -20%, the third calculation value TV2 is a value corresponding to the length to the upper end of the error range ER2. In this case, the third calculation value TV2 is the largest value, and the amount of odorous gas is estimated to be large.

[0187] When the measurement error in the second calculation value SV2 is +20%, the third calculation value TV2 is a value corresponding to the length to the lower end of the error range ER2. In this case, the third calculation value TV2 is the smallest value, and the amount of odorous gas is estimated to be low.

[0188] Next, problems that may arise when the amount of hydrogen gas is large and the amount of odorous gas is small will be described with reference to FIG.

[0189] The zeroth calculated value ZV3 is a zeroth calculated value corresponding to hydrogen gas and odorous gas obtained based on the detection result in the measurement of the second gas sensor. The zeroth calculated value ZV3 in Fig. 13 includes a first mixture value HV3 which is a value corresponding to hydrogen gas and a second mixture value OV3 which is a value corresponding to odorous gas.

[0190] For example, the first mixed value HV3 is expressed as "R H2_2 For example, the second mixed value OV3 is the correct value corresponding to "R H2S_2 " is an accurate value (correct value). For the sake of explanation, FIG. 13 illustrates the breakdown of the first mixed value HV3 and the second mixed value OV3 in the zeroth calculated value ZV3, but in reality, this is estimated based on the third calculated value described later.

[0191] The second calculated value SV3 in FIG. 13 is calculated based on the first calculated value corresponding to hydrogen gas obtained based on the detection result in the measurement of the first gas sensor. The second calculated value SV3 is the second calculated value corresponding to hydrogen gas of the second gas sensor. For example, the second calculated value SV3 is calculated based on the "R H2_2 " is the estimated value corresponding to

[0192] Here, if there is a measurement variation in the first gas sensor, the measurement variation is also reflected in the second calculated value SV3. Fig. 13 shows an example in which the measurement error of the second calculated value SV3 caused by the measurement variation of the first gas sensor is ±20%. The measurement error ME3 in Fig. 13 visualizes the measurement error of ±20% in the second calculated value SV3, and the value of the second calculated value SV3 may vary between the upper and lower ends of the measurement error ME3.

[0193] When the measurement error of the first gas sensor is at its maximum in the negative direction (e.g., a measurement error of -20%), the second calculated value SV3 is a value corresponding to the length to the upper end of the measurement error ME3. In this case, the second calculated value SV3 is the smallest value, and the amount of hydrogen gas is estimated to be low.

[0194] When the measurement error of the first gas sensor is at its maximum in the positive direction (e.g., measurement error +20%), the second calculated value SV3 is a value corresponding to the length to the lower end of the measurement error ME3. In this case, the second calculated value SV3 is the largest value, and the amount of hydrogen gas is estimated to be high. In the example of Fig. 13, since the amount of hydrogen gas is large and the amount of odorous gas is small, when the measurement error of the first gas sensor is in the positive direction, the second calculated value SV3 may be larger than the zeroth calculated value ZV3.

[0195] The third calculated value TV3 is calculated as a third calculated value corresponding to the odorous gas based on the zeroth calculated value ZV3 and the second calculated value SV3 (step S22). For example, the third calculated value TV3 is calculated by subtracting "R H2S_2 " is the estimated value corresponding to

[0196] Here, a measurement error of ±20% in the second calculated value SV3 affects the third calculated value TV3. The error range ER3 in Fig. 13 visualizes an error that may occur in the third calculated value TV3 due to a measurement error in the second calculated value SV3, and when the measurement error in the second calculated value SV3 is ±20%, the third calculated value TV3 may fluctuate between the upper and lower ends of the error range ER3.

[0197] When the measurement error in the second calculation value SV3 is -20%, the third calculation value TV3 is a value corresponding to the length to the upper end of the error range ER3. In this case, the third calculation value TV3 is the largest value, and the amount of odorous gas is estimated to be large.

[0198] The third calculated value TV3 corresponds to the length to the lower end of the error range ER3 when the measurement error in the second calculated value SV3 is +20%. In this case, the third calculated value TV3 may occur when the second calculated value SV3 is greater than the zeroth calculated value ZV3, and the amount of odorous gas may become 0 or less.

[0199] In this way, when there is a measurement variability in the first gas sensor, the measurement variability in the first gas sensor affects the estimated value of the amount of odorous gas. For example, in the case of FIG. 13 described above, the measurement variability in the amount of hydrogen gas in the first gas sensor may have a large effect, and in some cases, the calculated value derived from the odorous gas may be 0 or less, and the score may not be calculated properly. In such a case, it is difficult to make the process based on the gas measurement properly executable. Therefore, the biological information measurement system 1 solves the above-mentioned problems by any one of the following first process, second process, and third process, and makes the process based on the gas measurement properly executable.

[0200] <1-9. First process (multiple measurements)> The biological information measuring system 1 executes a first process using a plurality of pieces of information in order to suppress the influence of measurement variation in the first gas sensor. Specifically, the biological information measuring system 1 calculates a second calculated value corresponding to hydrogen gas of the second gas sensor based on a plurality of calculated values ​​including a first calculated value corresponding to hydrogen gas obtained based on the detection result of the first gas sensor.

[0201] This allows the biological information measuring system 1 to suppress the influence of measurement variability by performing measurements multiple times. An example of the configuration of the biological information measuring system 1 and a measurement when performing measurements multiple times in this way will be described below.

[0202] <1-9-1. First measurement example> First, a first measurement example will be described with reference to FIG. 14. FIG. 14 is a diagram showing a first measurement example using a gas sensor. Specifically, FIG. 14 is a diagram showing an outline of the first measurement example, which is processing using a plurality of data. In FIG. 14, in order to show an image of the processing, only a part of the configuration of the biological information measurement system 1 is illustrated. In FIG. 14, the gas detection device 20 has a gas sensor 40a which is a hydrogen gas sensor and a gas sensor 40b which is an odorous gas sensor. Note that the description of the same points as those described above will be omitted as appropriate.

[0203] Measurement MS11 in Fig. 14 corresponds to a measurement by the gas sensor 40a. For example, line LN11 in measurement MS11 indicates the sensor output, which is the measurement value (voltage value) of the gas sensor 40a. The hatched portion in measurement MS11 corresponds to one measurement process, and indicates the change in the sensor output caused by defecation gas discharged at the same time as one defecation, one fart, etc. For example, the biological information measurement system 1 uses the maximum value (peak value) of one measurement process as the measurement value (voltage value) to calculate the calculated value.

[0204] In the first measurement example, the biological information measurement system 1 obtains and averages multiple data of fecal gas released during one defecation or fart using the gas sensor 40a. For example, the biological information measurement system 1 performs measurement multiple times using the gas sensor 40a, obtains multiple measurement values, and averages multiple calculated values. For example, the biological information measurement system 1 averages the corresponding calculated values ​​of the multiple measurements using the gas sensor 40a, and calculates the average value as "R H2_1 " (also called "decision value") to calculate the second calculated value.

[0205] In this way, the biological information measuring system 1 calculates the second calculated value, which is a statistical value of a plurality of calculated values ​​obtained by measuring the gas multiple times with the gas sensor 40a. In this case, the second calculated value is a statistical value of a plurality of calculated values ​​obtained by measuring the gas multiple times with the gas sensor 40a. In this way, the biological information measuring system 1 can average a plurality of data to reduce measurement variability and calculate (estimate) an amount of hydrogen gas close to the true value. Note that, in the above example, the average value is used as a determined value for calculating the second calculated value, but the determined value used for calculating the second calculated value is not limited to the average value and may be any value, such as a median, as long as it is a value determined based on a plurality of data.

[0206] <1-9-2. Second measurement example> Next, a second measurement example will be described with reference to Fig. 15. Fig. 15 is a diagram showing a second measurement example using a gas sensor. Specifically, Fig. 15 is a diagram showing an outline of a second measurement example performed by a biological information measurement system 1 having a specific configuration for acquiring a plurality of data. Note that the description of the same points as those described above will be omitted as appropriate.

[0207] In FIG. 15, the biological information measuring system 1 has a sealing means 50 which is a mechanism for retaining gas. The sealing means 50 has a sealed space inside and is capable of retaining gas in the sealed space. In FIG. 15, the sealing means 50 is disposed between the gas detection device 20 and the aspirator 10. That is, the sealing means 50 is disposed in a flow path between the gas detection device 20 and the aspirator 10. The sealing means 50 retains the gas aspirated by the aspirator 10 in the sealed space. For example, the sealing means 50 has a storage section which stores the gas aspirated by the aspirator 10. The storage section has a sealed space inside and is capable of storing the gas in the sealed space.

[0208] In the second measurement example, the biological information measurement system 1 stores the defecation gas in the sealing means 50 for multiple measurements. In this case, the biological information measurement system 1 measures the trapped gas multiple times using a gas trapping mechanism such as the sealing means 50. For example, when the biological information measurement system 1 detects an output of a predetermined value or more from the gas sensor, it closes the shutoff valve (not shown). Then, the biological information measurement system 1 stops the suction device 10 to trap the gas in the storage section. Then, the biological information measurement system 1 brings the trapped gas into contact with the gas sensor 40a.

[0209] 15 corresponds to a measurement by the gas sensor 40a. For example, the line LN12 in the measurement MS12 indicates the sensor output, which is the measurement value (voltage value) of the gas sensor 40a. The hatched portion in the measurement MS12 corresponds to one measurement process, and indicates the change in the sensor output caused by defecation gas discharged at the same time as one defecation, one fart, etc. For example, the biological information measurement system 1 uses the maximum value (peak value) of one measurement process as the measurement value (voltage value) to calculate the calculated value.

[0210] In the second measurement example, the biological information measurement system 1 acquires and averages a plurality of calculated values ​​by performing a plurality of measurements using the gas sensor 40a, which is a hydrogen gas sensor, after retaining the fecal gas within the flow path (sealing means 50, etc.).

[0211] In this way, the biological information measuring system 1 calculates a second calculated value which is a statistical value of multiple calculated values ​​obtained by measuring the gas in the sealed space multiple times with the gas sensor 40a. The second calculated value is a statistical value of multiple calculated values ​​obtained by measuring the gas in the sealed space multiple times with the gas sensor 40a. Specifically, the biological information measuring system 1 calculates a second calculated value which is a statistical value of multiple calculated values ​​obtained by measuring the gas in the storage unit multiple times. The second calculated value is a statistical value of multiple calculated values ​​obtained by measuring the gas in the storage unit multiple times.

[0212] As a result, the biological information measurement system 1 can measure the fecal gas multiple times with the hydrogen gas sensor by retaining the fecal gas in the flow path, and can reduce the influence of measurement variations of the sensor by averaging multiple signals. The process after calculating the second calculated value is similar to that of the first measurement example, and therefore a detailed description will be omitted.

[0213] <1-9-3. Third measurement example> Next, a third measurement example will be described with reference to Fig. 16. Fig. 16 is a diagram showing a third measurement example using a gas sensor. Specifically, Fig. 16 is a diagram showing an overview of the third measurement example performed by biological information measuring system 1 in which gas detection device 20 is arranged inside sealing means 50. Note that explanations of points similar to those described above will be omitted as appropriate.

[0214] 16, biological information measuring system 1 has sealing means 50. In Fig. 16, sealing means 50 houses gas detection device 20. In biological information measuring system 1 in the third measurement example, gas detection device 20 is disposed inside sealing means 50. Sealing means 50 has a flow path that can be switched to a closed flow path by opening and closing means (for example, a switching valve, etc.), but this point will be described later.

[0215] In the third measurement example, the biological information measuring system 1 measures the gas trapped within the sealing means 50 multiple times with the gas detection device 20 within the sealing means 50. In this case, the biological information measuring system 1 acquires data multiple times from a state in which the sensor surface is filled with gas and the sensor output is stable.

[0216] Measurement MS13 in Fig. 16 corresponds to a measurement by the gas sensor 40a. For example, line LN13 in measurement MS13 indicates the sensor output, which is the measurement value (voltage value) of the gas sensor 40a. The hatched portion in measurement MS13 corresponds to a part of the section where the sensor output (power value) reaches a peak (maximum) due to the gas trapped in the sealing means 50. For example, the biological information measurement system 1 performs measurement processing multiple times (three times indicated by dotted circles in Fig. 16) in the section where the sensor output (power value) reaches a peak (maximum), and calculates a calculation value corresponding to each measurement processing.

[0217] In the third measurement example, the biological information measurement system 1 stores the fecal gas in the sealing means 50 for multiple measurements. The biological information measurement system 1 stores the fecal gas within the sealing means 50 housing the gas detection device 20, and obtains and averages multiple calculated values ​​by multiple measurements using the gas sensor 40a, which is a hydrogen gas sensor.

[0218] In this manner, the biological information measuring system 1 calculates the second calculated value, which is a statistical value of multiple calculated values ​​obtained by measuring the gas in the sealing means 50 multiple times with the gas sensor 40a. The second calculated value is a statistical value of multiple calculated values ​​obtained by measuring the gas in the sealing means 50 multiple times with the gas sensor 40a.

[0219] In this way, the biological information measurement system 1 can continuously contact the defecation gas with the hydrogen gas sensor, thereby obtaining a signal with a stable sensor output, and averaging the signal can further reduce the influence of measurement variations in the gas sensor. The process after calculating the second calculated value is the same as in the first measurement example, and therefore a detailed description will be omitted.

[0220] <1-9-4. Fourth measurement example> Next, a fourth measurement example will be described with reference to Fig. 17. Fig. 17 is a diagram showing a fourth measurement example using a gas sensor. Fig. 17 is a diagram showing an outline of a fourth measurement example performed by a biological information measuring system 1 having a configuration similar to that of the second measurement example shown in Fig. 15. Specifically, Fig. 17 is a diagram showing a fourth measurement example in which gas trapped in a flow path between the gas detection device 20 and the aspirator 10 by a sealing means 50 is measured. Note that explanations of points similar to those described above will be omitted as appropriate.

[0221] The configuration of the biological information measuring system 1 in the fourth measurement example is similar to the configuration of the biological information measuring system 1 in the second measurement example, and therefore will not be illustrated or described in detail.

[0222] Measurement MS14 in Fig. 17 corresponds to a measurement by the gas sensor 40a. For example, line LN14 in MS14 indicates the sensor output, which is the measurement value (voltage value) of the gas sensor 40a. For example, the biological information measuring system 1 performs a measurement process (three times in Fig. 17) at each point in time when the sensor output (power value) indicated by the dotted circle in Fig. 17 reaches a peak (maximum), and calculates a calculated value corresponding to each measurement process. For example, the biological information measuring system 1 repeatedly brings gas into contact with the sensor, and obtains multiple pieces of data corresponding to the peak values ​​of the sensor output.

[0223] In the fourth measurement example, the biological information measurement system 1 stores the defecation gas in the flow path between the gas detection device 20 and the suction device 10 by the sealing means 50 in order to perform multiple measurements. The biological information measurement system 1 stores the defecation gas in the flow path between the gas detection device 20 and the suction device 10, and obtains and averages multiple calculated values ​​by performing multiple measurements with the gas sensor 40a, which is a hydrogen gas sensor. That is, the biological information measurement system 1 stores the defecation gas in a location different from the inside of the gas detection device 20, and then repeatedly brings the gas into contact with the gas sensor 40a, which is a hydrogen gas sensor, and obtains and averages multiple calculated values ​​by performing multiple measurements with the gas sensor 40a.

[0224] In this manner, the biological information measurement system 1 calculates the second calculated value, which is a statistical value of the multiple calculated values ​​obtained by measuring the gas in the flow path multiple times. The second calculated value is a statistical value of the multiple calculated values ​​obtained by measuring the gas in the flow path multiple times.

[0225] In this way, the biological information measurement system 1 can reduce the influence of measurement errors by repeatedly measuring the retained fecal gas with the hydrogen gas sensor to obtain multiple first calculation values ​​and averaging them. The process after calculating the second calculation value is the same as in the first measurement example, and therefore a detailed description thereof will be omitted.

[0226] <1-9-5. Fifth measurement example> Next, a fifth measurement example will be described with reference to Fig. 18. Fig. 18 is a diagram showing a fifth measurement example using a gas sensor. Specifically, Fig. 18 is a diagram showing an outline of a fifth measurement example performed by biological information measurement system 1 in which gas detection device 20 (hereinafter referred to as "gas detection device 20A") having gas sensor 40c, which is a third gas sensor, is arranged. Note that explanations of points similar to those described above will be omitted as appropriate.

[0227] 18, the biological information measurement system 1 includes a gas detection device 20A including a gas sensor 40c. For example, the gas sensor 40c, which is a third gas sensor, is a gas sensor that is more sensitive to hydrogen gas and less sensitive to odorous gases than the gas sensor 40b. In the fifth measurement example, the gas sensor 40c may be a hydrogen gas sensor.

[0228] In the fifth measurement example, the biological information measuring system 1 obtains values ​​(eg, calculated values) indicating the amount or concentration of hydrogen gas from the gas sensor 40a which is a hydrogen gas sensor and the gas sensor 40c which is a third gas sensor, and averages the values.

[0229] The biological information measurement system 1 calculates a calculated value (also referred to as a "fourth calculated value") corresponding to hydrogen gas based on the detection result of the gas sensor 40c. For example, the biological information measurement system 1 uses equation (1) to calculate a fourth calculated value corresponding to hydrogen gas of the gas sensor 40c from the measurement value (voltage value) of the gas sensor 40c. The biological information measurement system 1 applies the fourth calculated value to a regression equation to calculate (estimate) the amount of hydrogen gas based on the measurement of the gas sensor 40c.

[0230] 18 corresponds to measurements made by the gas sensor 40a and the gas sensor 40c. For example, the line LN151 in the measurement MS15 indicates the sensor output, which is the measurement value (voltage value) of the gas sensor 40a. For example, the line LN152 in the measurement MS15 indicates the sensor output, which is the measurement value (voltage value) of the gas sensor 40c.

[0231] For example, the biological information measurement system 1 performs a measurement process when the sensor output (power value) of the gas sensor 40a indicated by the dotted circle on the line LN151 in Fig. 18 reaches a peak (maximum), and calculates a first calculation value corresponding to the measurement process. Also, for example, the biological information measurement system 1 performs a measurement process when the sensor output (power value) of the gas sensor 40c indicated by the dotted circle on the line LN152 in Fig. 18 reaches a peak (maximum), and calculates a fourth calculation value corresponding to the measurement process. For example, the biological information measurement system 1 acquires data corresponding to the peak values ​​of the hydrogen gas sensor and the third gas sensor.

[0232] In the fifth measurement example, the biological information measuring system 1 calculates a second calculated value using a first calculated value based on the measurement of the gas sensor 40a and a fourth calculated value based on the measurement of the gas sensor 40c.

[0233] In this manner, the biological information measuring system 1 calculates the second calculated value, which is a statistical value obtained using a plurality of calculated values ​​obtained by measurements using the gas sensors 40, i.e., the gas sensor 40a and the gas sensor 40c. The second calculated value is obtained from the statistical value of the plurality of calculated values ​​obtained by measurements using the plurality of gas sensors 40.

[0234] In this way, the biological information measurement system 1 calculates values ​​(e.g., calculated values) indicating the amount of hydrogen gas from a plurality of gas sensors and averages them, thereby reducing individual variation and enabling a more accurate calculation of the amount of hydrogen gas. The process after calculating the second calculated value is similar to that in the first measurement example, and therefore a detailed description thereof will be omitted.

[0235] <1-9-6. Sixth measurement example> Next, a sixth measurement example will be described. The biological information measurement system 1 of the sixth measurement example differs from the biological information measurement system 1 of the fifth measurement example in that the gas detection device 20A has a gas sensor 40c, which is a third gas sensor, that is a different type of gas sensor from the hydrogen gas sensor. Note that the same points as those described above will not be described as appropriate.

[0236] In the sixth measurement example, the biological information measurement system 1 has a gas detection device 20A including a gas sensor 40c that is a methane gas sensor different from the gas sensor 40a that is a hydrogen gas sensor. For example, the gas sensor 40c that is a methane gas sensor is a gas sensor that reacts easily with hydrogen and methane and does not react easily with odorous gases. For example, the gas sensor 40c that is a methane gas sensor is mounted on the gas detection device 20 to measure methane gas in feces gas.

[0237] Here, the percentage of people who have methane-producing bacteria and whose fecal gas contains methane gas is low. For example, in the case of people who do not produce methane gas, it is possible to calculate the amount of hydrogen gas using a methane gas sensor.

[0238] Therefore, in the sixth measurement example, when a person who emits methane gas is a measurement subject, the biological information measurement system 1 uses the gas sensor 40c as a methane gas measurement sensor. When the biological information measurement system 1 determines that the user's fecal gas contains methane gas, it uses the gas sensor 40c as a sensor for detecting methane gas.

[0239] On the other hand, when the measurement subject is a person who does not emit methane gas, the biological information measurement system 1 uses the gas sensor 40c as a hydrogen gas measurement sensor. When the biological information measurement system 1 determines that the user's fecal gas does not contain methane gas, it uses the gas sensor 40c as a sensor for detecting hydrogen gas.

[0240] As described above, even if a gas sensor is intended to measure other components, if the gas sensor is not being used for the intended purpose, the bio-information measurement system 1 can further improve the measurement accuracy of the hydrogen gas sensor by repurposing the gas sensor as a sensor for measuring hydrogen gas.

[0241] For example, when calculating the fourth calculated value of the gas sensor 40c which is a methane gas sensor, the biological information measurement system 1 may calculate the fourth calculated value by using an equation for a methane gas sensor instead of the above-mentioned equations (3), (5), and (6) for odorous gases. In this case, the calculation of the fourth calculated value is the same as the calculation of the second calculated value of the odorous gas except for the equations used, and therefore a detailed description thereof will be omitted.

[0242] <1-9-7. Seventh measurement example> Next, the seventh measurement example will be described with reference to Fig. 19. Fig. 19 is a diagram showing a seventh measurement example using a gas sensor. Fig. 19 is a diagram showing an outline of the seventh measurement example performed by a biological information measuring system 1 having a similar configuration to any one of the first to sixth measurement examples described above. For example, the seventh measurement example is performed by a biological information measuring system 1 having the configuration in the second measurement example shown in Fig. 15. Note that explanations of the same points as those described above will be omitted as appropriate.

[0243] Measurement MS16 in Fig. 19 corresponds to measurements made by gas sensor 40a and gas sensor 40b. For example, line LN161 in measurement MS16 indicates the sensor output, which is the measurement value (voltage value) of gas sensor 40a. For example, line LN162 in measurement MS16 indicates the sensor output, which is the measurement value (voltage value) of gas sensor 40b. The reactivity of each gas sensor 40 is determined by any means. For example, the reactivity of each gas sensor 40 is set so that the peak value is 100% and the value before defecation is 0%.

[0244] For example, a measurement value TM11 on the line LN161 in Fig. 19 indicates a measurement value when the reactivity of the gas sensor 40a is at a first degree (e.g., 30% of the peak value). A measurement value TM12 on the line LN161 in Fig. 19 indicates a measurement value when the reactivity of the gas sensor 40a is at a second degree (e.g., 50% of the peak value). A measurement value TM13 on the line LN161 in Fig. 19 indicates a measurement value when the reactivity of the gas sensor 40a is at a third degree (e.g., the peak value).

[0245] For example, the measurement value TM21 on the line LN162 in Fig. 19 indicates the measurement value when the reactivity of the gas sensor 40b is at the first degree (e.g., 30% of the peak value). The measurement value TM22 on the line LN162 in Fig. 19 indicates the measurement value when the reactivity of the gas sensor 40b is at the second degree (e.g., 50% of the peak value). The measurement value TM23 on the line LN162 in Fig. 19 indicates the measurement value when the reactivity of the gas sensor 40b is at the third degree (e.g., the peak value).

[0246] 19, the biological information measuring system 1 uses, as a set, the values ​​of the gas sensors having the same reactivity to fecal gas at the same timing for the multiple gas sensors 40. For example, the biological information measuring system 1 uses, as one set, a measurement value TM11 of the gas sensor 40a and a measurement value TM21 of the gas sensor 40b having the same first reactivity.

[0247] In this case, the biological information measurement system 1 calculates a first calculation value (referred to as the "first calculation value FV71") and a third calculation value (referred to as the "third calculation value TV71") based on the measurement values ​​TM11 and TM21. Then, the biological information measurement system 1 calculates the amount of hydrogen gas (referred to as the "hydrogen gas amount VL11") and the amount of odorous gas (referred to as the "odorous gas amount VL21") based on the calculated first calculation value FV71 and third calculation value TV71. Then, the biological information measurement system 1 calculates a primary score (referred to as the "primary score TS1") by finding the ratio between the calculated hydrogen gas amount VL11 and the odorous gas amount VL21.

[0248] Furthermore, the biological information measurement system 1 uses the measurement value TM12 of the gas sensor 40a and the measurement value TM22 of the gas sensor 40b, which have the same second degree of reactivity, as one set. In this case, the biological information measurement system 1 calculates a first calculation value FV72 and a third calculation value TV72 based on the measurement values ​​TM12 and TM22, and calculates the amount of hydrogen gas (referred to as "hydrogen gas amount VL12") and the amount of odorous gas (referred to as "odorous gas amount VL22") based on the calculated first calculation value FV72 and third calculation value TV72. Then, the biological information measurement system 1 calculates a ratio between the calculated hydrogen gas amount VL12 and the odorous gas amount VL22 to calculate a primary score (referred to as "primary score TS2").

[0249] Furthermore, the biological information measurement system 1 uses the measurement value TM13 of the gas sensor 40a and the measurement value TM23 of the gas sensor 40b, which have the same third degree of reactivity (peak value), as one pair (set). In this case, the biological information measurement system 1 calculates a first calculation value FV73 and a third calculation value TV73 based on the measurement values ​​TM13 and TM23, and calculates the amount of hydrogen gas (referred to as "hydrogen gas amount VL13") and the amount of odorous gas (referred to as "odorous gas amount VL23") based on the calculated first calculation value FV72 and third calculation value TV72. Then, the biological information measurement system 1 calculates a ratio between the calculated hydrogen gas amount VL13 and the odorous gas amount VL23 to calculate a primary score (referred to as "primary score TS3").

[0250] As a result, the biological information measurement system 1 obtains a plurality of ratios of values ​​based on the measurement of the hydrogen gas sensor and the measurement of the odorous gas sensor. The biological information measurement system 1 then calculates a score by averaging the obtained plurality of ratios (e.g., primary scores). In Fig. 19, the biological information measurement system 1 calculates the average value of the primary scores TS1, TS2, and TS3 as the score.

[0251] As described above, in the seventh measurement example, the biological information measurement system 1 obtains multiple values ​​based on measurements by the hydrogen gas sensor and the odorous gas sensor at the same timing, calculates a ratio, and then averages the ratios. The biological information measurement system 1 estimates the user's health condition or information related to the health condition using a first calculated value corresponding to hydrogen gas obtained based on the detection result of the first gas sensor and a score calculated based on the third calculated value. The biological information measurement system 1 calculates a score based on the ratio between a value based on the first calculated value corresponding to detection at a common timing during the user's defecation (e.g., the amount of hydrogen gas) and a value based on the third calculated value (the amount of odorous gas).

[0252] In this way, the biological information measuring system 1 acquires a value derived from hydrogen and a value derived from odorous gas at the same timing during one defecation act. The biological information measuring system 1 averages the ratio of a value based on a set of first calculated values ​​(e.g., the amount of hydrogen gas) and a value based on a third calculated value (amount of odorous gas) to calculate the ratio of the value based on the first calculated value and the value based on the third calculated value. In this way, the biological information measuring system 1 calculates a statistical value of the ratio of values ​​based on multiple calculated values ​​as a score.

[0253] The variation in the scores (e.g., the ratio of amounts) is largely influenced by the variation due to the hydrogen gas sensor. Therefore, the biological information measurement system 1 averages the scores (e.g., the ratio of amounts), thereby making it possible to reduce the variation due to the hydrogen gas sensor.

[0254] <1-9-8. Configuration and control examples> From here, an example of the configuration and control of the above-mentioned measurement example will be described. Note that the configuration and control of the biological information measurement system 1 described below are merely examples, and the biological information measurement system 1 can adopt any configuration and control as long as it is possible to perform the above-mentioned measurement.

[0255] <1-9-8-1. Configuration and control corresponding to the third measurement example> First, the configuration and control corresponding to the third measurement example will be described with reference to Fig. 20. Fig. 20 is a diagram showing an example of the configuration and control corresponding to the third measurement example. Note that the description of the same points as those described above will be omitted as appropriate.

[0256] The device configuration CN11 shown in Fig. 20 shows an example of the device configuration of the biological information measuring system 1 that executes the third measurement example. Fig. 20 is for illustrating an image of the configuration and control, and the device configuration CN11 illustrates only a part of the configuration of the biological information measuring system 1 that executes the third measurement example. For example, the suction mechanism of the device configuration CN11 corresponds to the suction device 10, the exhaust unit corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the switching valve, the flow path #1, the flow path #2, the storage unit, and the shut-off valve are components that the sealing means 50 has.

[0257] In Fig. 20, the biological information measuring system 1 executes the processes shown in steps S31 to S35. Before step S31, it is assumed that the switching valve is set so that the gas in the bowl portion flows in the direction of flow path #1. The biological information measuring system 1 sucks gas from the bowl portion using the suction mechanism (step S31). When the biological information measuring system 1 detects a sensor output value (e.g., a voltage value) equal to or greater than a predetermined value, it closes the shut-off valve (step S32).

[0258] After a predetermined time has elapsed, the biological information measuring system 1 switches the switching valve to the flow path #2 direction (the side that flows directly to the discharge section) (step S33). After the sensor measurement, the biological information measuring system 1 opens the stop valve (step S34). The biological information measuring system 1 switches the switching valve to the flow path #1 direction (the side that flows to the storage section) (step S35).

[0259] As described above, in FIG. 20, the biological information measuring system 1 performs measurement using the sensor in a state in which the shut-off valve is closed and gas is stored.

[0260] <1-9-8-2. Configuration and control corresponding to the fourth measurement example> Next, the configuration and control corresponding to the fourth measurement example will be described with reference to Fig. 21 to Fig. 23. Fig. 21 and Fig. 23 are diagrams showing an example of the configuration and control corresponding to the fourth measurement example. Explanations of the same points as those described above will be omitted as appropriate.

[0261] The configuration and control in the case where gas is circulated and measurements are performed multiple times will be described with reference to FIG. 21. The device configuration CN12 shown in FIG. 21 shows an example of the device configuration of the biological information measuring system 1 that executes the fourth measurement example. FIG. 21 is for illustrating an image of the configuration and control, and the device configuration CN12 illustrates only a part of the configuration of the biological information measuring system 1 that executes the fourth measurement example. For example, the first suction mechanism of the device configuration CN12 corresponds to the suction device 10, the exhaust section corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the first switching valve, the flow path #1, the flow path #2, the second suction mechanism, the second switching valve, the flow path #3, and the flow path #4 are configurations that the sealing means 50 has. For example, the second suction mechanism is a device having the same function as the suction device 10, and can perform suction in a desired direction.

[0262] In FIG. 21, the biological information measuring system 1 executes the process shown in steps S41 to S44. Before step S41, the first switching valve is set so that the gas in the bowl portion flows in the direction of flow path #1, and the second switching valve is set so that the gas flows in the direction of flow path #3. The biological information measuring system 1 sucks gas from the bowl portion with the first suction mechanism (step S41). When the biological information measuring system 1 detects a sensor output value (e.g., a voltage value) equal to or greater than a predetermined value, it switches the first switching valve to the direction of flow path #2 (the side that flows directly to the discharge portion) and switches the second switching valve to the direction of flow path #4 (the side that circulates inside the sealing means 50) (step S42).

[0263] The biological information measuring system 1 activates the second suction mechanism and measures the gas multiple times (step S43). After measuring the sensor output multiple times with the sensor, the biological information measuring system 1 returns the first and second switching valves to their original positions (step S44). In FIG. 21, the biological information measuring system 1 switches the first switching valve so that the gas in the bowl portion flows in the direction of flow path #1, and switches the second switching valve so that the gas flows in the direction of flow path #3.

[0264] As described above, in FIG. 21, the biological information measuring system 1 circulates the same gas within the flow path and repeatedly measures the gas with the sensor.

[0265] The configuration and control in the case where the stored gas is dispensed in small amounts and measured multiple times will be described with reference to FIG. 22. The device configuration CN13 shown in FIG. 22 shows an example of the device configuration of the biological information measuring system 1 that executes the fourth measurement example. FIG. 22 is for illustrating an image of the configuration and control, and the device configuration CN13 illustrates only a part of the configuration of the biological information measuring system 1 that executes the fourth measurement example. For example, the first suction mechanism of the device configuration CN13 corresponds to the suction device 10, the exhaust section corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the switching valve, the flow path #1, the flow path #2, the storage section, the shutoff valve, and the second suction mechanism are configurations that the sealing means 50 has.

[0266] In Fig. 22, the biological information measuring system 1 executes the processes shown in steps S51 to S54. Before step S51, it is assumed that the switching valve is set so that the gas in the bowl portion flows in the direction of flow path #1. The biological information measuring system 1 sucks gas from the bowl portion with the first suction mechanism (step S51). When the biological information measuring system 1 detects a sensor output value (e.g., a voltage value) equal to or greater than a predetermined value, it closes the shut-off valve (step S52).

[0267] After a predetermined time has elapsed, the biological information measuring system 1 switches the switching valve to the flow path #2 direction (the side where the gas flows directly to the discharge section) and keeps the gas in the storage section (step S53). The biological information measuring system 1 controls the opening and closing of the second suction mechanism and the stop valve to flow the gas to the sensor (step S54). In this case, for example, while the biological information measuring system 1 is measuring the gas with the sensor, the stop valve is opened and the second suction mechanism is operated to discharge a part of the gas in the storage section from the discharge section via the sensor. Also, for example, while the biological information measuring system 1 is stopping measuring the gas with the sensor, the stop valve is closed and the second suction mechanism is stopped to stop discharging the gas in the storage section from the discharge section.

[0268] Thus, in FIG. 22, the biological information measuring system 1 stores the gas in the storage section and periodically flows a predetermined amount of gas through the sensor.

[0269] The configuration and control in the case where a gas that has been measured once is returned to perform multiple measurements will be described with reference to FIG. 23. The device configuration CN14 shown in FIG. 23 shows an example of the device configuration of the biological information measuring system 1 that performs the fourth measurement example. FIG. 23 is for illustrating an image of the configuration and control, and the device configuration CN14 illustrates only a part of the configuration of the biological information measuring system 1 that performs the fourth measurement example. For example, the first suction mechanism of the device configuration CN14 corresponds to the suction device 10, the exhaust section corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the switching valve, the flow path #1, the flow path #2, the storage section, the shutoff valve, and the second suction mechanism are configurations that the sealing means 50 has.

[0270] In Fig. 23, the biological information measuring system 1 executes the processes shown in steps S61 to S65. Before step S61, it is assumed that the switching valve is set so that the gas in the bowl portion flows in the direction of flow path #1. The biological information measuring system 1 sucks gas from the bowl portion with the first suction mechanism (step S61). When the biological information measuring system 1 detects a sensor output value (e.g., a voltage value) equal to or greater than a predetermined value, it closes the shut-off valve (step S62).

[0271] After a predetermined time has elapsed, the biological information measuring system 1 switches the switching valve to the direction of flow path #2 (the side that flows directly to the discharge section) (step S63). The biological information measuring system 1 operates the second suction mechanism to return the gas that has been measured to the sensor (step S64). The flow path between the second intake mechanism and the storage section may be common, or the flow path from the second suction mechanism to the storage section and the flow path from the storage section to the second suction mechanism may be provided separately. After repeated measurements, the biological information measuring system 1 opens the shut-off valve and controls the switching valve to discharge the gas (step S65).

[0272] Thus, in FIG. 23, the biological information measurement system 1 retains the gas in the storage section and returns the measured gas to the sensor using the second suction mechanism.

[0273] <1-10. Second Processing (Correction)> The biological information measuring system 1 may suppress the influence of the measurement variation by any method, without being limited to the above-mentioned first process. For example, in order to suppress the influence of the measurement variation in the gas sensor, the biological information measuring system 1 executes a second process of correcting the value when the value based on the measurement satisfies a predetermined condition. In the second process, the biological information measuring system 1 executes the correction next when a predetermined condition is satisfied under which the odorous gas may not be estimated correctly. Specifically, when the odorous gas may not be estimated correctly, the biological information measuring system 1 executes the correction for at least one of the zeroth calculated value, the second calculated value, or the third calculated value.

[0274] As a result, the biological information measuring system 1 can suppress the influence of measurement variation through correction. This point will be described below. Note that the description of the same points as those described in the first process and the like will be omitted as appropriate.

[0275] <1-10-1. First amendment> First, an example in which the biological information measuring system 1 corrects the zeroth calculated value or the second calculated value will be described as a first correction.

[0276] For example, the biological information measuring system 1 performs the first correction when a predetermined condition is satisfied. The biological information measuring system 1 performs the first correction when the first calculated value or the second calculated value exceeds a first threshold value, or when the third calculated value falls below a second threshold value that is smaller than the first threshold value. In this case, the biological information measuring system 1 performs the first correction when at least one of correction conditions including a first condition that the first calculated value or the second calculated value exceeds the first threshold value, and a second condition that the third calculated value falls below a second threshold value that is smaller than the first threshold value is satisfied. The first threshold value and the second threshold value are set to arbitrary values ​​according to the gas sensor 40 and the like. For example, the first threshold value and the second threshold value may be set for each biological information measuring system 1 (i.e., for each device) in which the gas sensor 40 is introduced, or may be commonly set values.

[0277] For example, when at least one of the correction conditions is satisfied, the biological information measuring system 1 performs a correction to decrease the second calculated value. When calculating the second calculated value from the first calculated value, the biological information measuring system 1 performs the first correction by multiplying the first calculated value by a correction coefficient smaller than 1. In this case, the biological information measuring system 1 may perform either correction pattern #1 or correction pattern #2.

[0278] When performing correction pattern #1, if at least one of the correction conditions is satisfied, the biological information measuring system 1 corrects the first calculated value by multiplying the first calculated value by a correction coefficient (e.g., a value less than 1). In this case, the biological information measuring system 1 calculates the second calculated value using the corrected first calculated value.

[0279] Furthermore, when performing correction pattern #2, if at least one of the correction conditions is satisfied, the biological information measuring system 1 corrects the second calculated value by multiplying the second calculated value by a correction coefficient (e.g., a value less than 1). In this case, the biological information measuring system 1 calculates a third calculated value using the calculated corrected second calculated value.

[0280] The above-mentioned correction is merely an example, and the biological information measuring system 1 may execute a correction to increase the zeroth calculated value, not limited to a correction to decrease the second calculated value. Furthermore, the biological information measuring system 1 may execute the first correction when the second calculated value exceeds the zeroth calculated value. In this case, the correction condition may include a third condition that the second calculated value exceeds the zeroth calculated value.

[0281] In this way, in the first correction, the other values ​​used in the calculation of the third calculated value indicating the amount of odorous gas are corrected. As a result, the biological information measurement system 1 can appropriately correct the third calculated value calculated based on the other values, and appropriately calculate (estimate) the amount of odorous gas. Therefore, the biological information measurement system 1 can appropriately execute the process based on the gas measurement.

[0282] <1-10-2. Second Amendment> The biological information measuring system 1 may execute a second correction to correct the third calculated value, in addition to the first correction. In this case, the biological information measuring system 1 has a correction value preset as a value corresponding to the odorous gas, and when the third calculated value falls below a third threshold, the biological information measuring system 1 replaces the third calculated value with the correction value as a correction.

[0283] The third threshold value is set to an arbitrary value depending on the gas sensor 40, etc. For example, the third threshold value may be set for each biological information measurement system 1 (i.e., for each device) in which the gas sensor 40 is installed, or may be a commonly set value.

[0284] The correction value can be set to any value. For example, the correction value may be the lower detection limit of the gas sensor, or may be the minimum value of a calculated value based on data on the amount of gas coming out of a person.

[0285] In this way, in the second correction, the third calculation value itself indicating the amount of odorous gas is corrected. This allows the biological information measurement system 1 to appropriately correct the third calculation value and appropriately calculate (estimate) the amount of odorous gas. Therefore, the biological information measurement system 1 can appropriately execute processing based on gas measurement.

[0286] <1-11. Third process (change of information)> The biological information measuring system 1 may suppress the influence of the measurement variation by any method, without being limited to the above-mentioned first process and second process. For example, the biological information measuring system 1 executes a third process of changing the information to be output in order to suppress the influence of the measurement variation in the gas sensor. In the third process, when a condition (also called a "change condition") that the ratio of the health gas to the odorous gas may be incorrect is satisfied, the biological information measuring system 1 changes the information, outputs it, and displays it. Specifically, when at least one of the first calculated value, the second calculated value, and the third calculated value satisfies the change condition, the biological information measuring system 1 performs control to change the first information, which is the health condition or information related to the health condition of the user output by the output means.

[0287] As a result, the biological information measuring system 1 can change the information provided to the user by changing the information, thereby suppressing the influence of measurement variation. This point will be described below. Note that the same points as those described in the first process and the second process will not be described as appropriate.

[0288] <1-11-1. First change> First, the first change will be described. When the change condition is satisfied, the biological information measuring system 1 executes the first change to change the value included in the first information to a preset setting value. When the first calculated value or the second calculated value exceeds a first threshold value, or when the third calculated value falls below a second threshold value smaller than the first threshold value, the biological information measuring system 1 executes the first change. In this case, the biological information measuring system 1 executes the first change when at least one of the change conditions including the first condition that the first calculated value or the second calculated value exceeds the first threshold value, and the second condition that the third calculated value falls below a second threshold value smaller than the first threshold value is satisfied.

[0289] The biological information measuring system 1 executes a first change as shown in Fig. 24. Fig. 24 is a diagram showing a first change of information by the biological information measuring system. Content CT11 in Fig. 24 is information indicating a change over time in the score based on the measurement of the user's fecal gas.

[0290] A score SC1 in the content CT11 indicates a score before the change based on a measurement at a corresponding date and time (also called a "target measurement"). The vital information measurement system 1 performs a first change if any of the values ​​in the target measurements satisfy at least one of the change conditions. The vital information measurement system 1 executes a first change if it is determined that the value in the target measurement satisfies the change condition.

[0291] In Fig. 24, the vital information measurement system 1 determines that the value in the target measurement satisfies the change condition, and changes the score SC1, which is the original data in the content CT11. For example, the vital information measurement system 1 changes the score SC1 to a predetermined value of changed score CS1. The changed score CS1 may be set to any value, which will be described later. In Fig. 24, by changing the score SC1 to the changed score CS1, the vital information measurement system 1 can set the score corresponding to the target measurement to a value close to the average indicated by the dotted line (such as a moving average indicating a trend of change over time).

[0292] The biological information measurement system 1 outputs information (content CC11 in FIG. 25) including the changed score CS1 obtained by changing the score SC1, which is the original data. The biological information measurement system 1 outputs (transmits) the information including the changed score CS1 obtained by changing the score SC1, which is the original data, to the display means 300, which is a user terminal used by the user (also referred to as "user X") who was the subject of the target measurement.

[0293] The display means 300 used by the user X, which has received information including the changed score CS1 output by the biological information measurement system 1, displays information as shown in FIG. 25. FIG. 25 is a diagram showing an example of display of information after change by the biological information measurement system. As shown in FIG. 25, the display means 300 used by the user X displays content CC11 including the changed score CS1 obtained by changing the score SC1, which is the original data. In this way, the display means 300 used by the user X does not display the score SC1, which is the original data estimated to have been significantly affected by measurement variability, but displays the changed score CS1, which is estimated to be more appropriate than the score SC1, as alternative information. In this way, the biological information measurement system 1 may change the display of information to a predetermined value.

[0294] As described above, the biological information measuring system 1 can suppress the influence of the measurement variation by changing the information provided to the user through the first change. Therefore, the biological information measuring system 1 can appropriately execute the process based on the gas measurement.

[0295] The changed information, such as the value of the changed score CS1, may be set by any information. An example of this point will be described with reference to Fig. 26. Fig. 26 is a diagram showing an example of score correction by the biological information measurement system. In Fig. 26, the changed information may be determined using hydrogen amount distribution information DD11 indicating the distribution of the amount of hydrogen emitted from a person, and odorous gas amount distribution information DD12 indicating the distribution of the amount of odorous gas emitted from a person.

[0296] For example, the biological information measuring system 1 may calculate a score when the first calculated value is a predetermined value and the second calculated value is a predetermined value. For example, the biological information measuring system 1 may calculate a score from the maximum amount / minimum amount (such as 3σ of the distribution) coming out of a human.

[0297] For example, the biological information measuring system 1 may use a function FC2 to calculate the changed score CS1. The function FC2 may use a value obtained by adding 3δ to the average hydrogen amount calculated based on the hydrogen amount distribution information DD11, and dividing the value by the average odorous gas amount calculated based on the healthy odorous gas amount distribution information DD12, subtracting 3δ, as the changed score CS1.

[0298] <1-11-2. Second change> Note that the biological information measurement system 1 may perform a change using any information, not limited to the first change. For example, the biological information measurement system 1 may perform a second change that changes information using past information of the target user. In this case, the biological information measurement system 1 stores the first information output based on the past measurement in the storage unit 120. Specifically, the biological information measurement system 1 stores history information including a score calculated based on the past measurement in the storage unit 120.

[0299] The biological information measuring system 1 performs a second change to change the information based on the score calculated based on the past measurements stored in the storage unit 120. The biological information measuring system 1 performs the second change when at least one of the change conditions is satisfied.

[0300] The biological information measuring system 1 executes a second change as shown in Fig. 27. Fig. 27 is a diagram showing a second change of information by the biological information measuring system. Content CT12 in Fig. 27 is information indicating a change over time in the score based on the measurement of the user's fecal gas.

[0301] Score SC2 in content CT12 indicates the score before the change based on the measurement (target measurement) at the corresponding date and time. The vital information measurement system 1 performs the second change if any of the values ​​in the target measurements meets at least one of the change conditions. The vital information measurement system 1 executes the second change if it determines that the value in the target measurement meets the change condition.

[0302] In Fig. 27, the biological information measurement system 1 determines that the value in the target measurement satisfies the change condition, and changes the score SC2, which is the original data in the content CT12. For example, when the biological information measurement system 1 determines that the value in the target measurement satisfies the change condition, it changes the value to a changed score CS2 calculated using multiple scores corresponding to a measurement prior to the target measurement. The changed score CS2 uses the average value of multiple scores corresponding to each of the most recent measurements of the target measurement. In Fig. 27, the biological information measurement system 1 calculates the changed score CS2 using the most recent scores PS1 and PS2 of the target measurement.

[0303] As a result, the information is changed based on the past tendencies of the user (user X) who was the subject of the target measurement, and the vital information measurement system 1 can change the information to be in line with the past tendencies of user X. For example, the scores PS1 and PS2 do not satisfy the change conditions and remain the scores of the original data. For example, the vital information measurement system 1 outputs unchangeable (uncorrected) scores for data that has not been changed, such as scores PS1 and PS2.

[0304] The biological information measurement system 1 outputs information including the changed score CS2 obtained by changing the score SC2, which is the original data. The biological information measurement system 1 outputs (transmits) information including the changed score CS2 obtained by changing the score SC2, which is the original data, to the display means 300, which is a user terminal used by the user (user X) who was the subject of the target measurement. Note that the display of information is the same as that described in Fig. 25, so a detailed description will be omitted.

[0305] As described above, the biological information measuring system 1 can suppress the influence of the measurement variation by changing the information provided to the user through the second change. Therefore, the biological information measuring system 1 can appropriately execute the process based on the gas measurement.

[0306] In this way, the biological information measurement system 1 corrects the displayed information by referring to past data. The biological information measurement system 1 refers to the data of the past several times and displays the average value. The biological information measurement system 1 refers to the data of the past several times and displays the average value by weighting the data closer to the present. Note that the biological information measurement system 1 is not limited to using the average value of the most recent two times of data as described above, and may use any information. For example, the biological information measurement system 1 may use a weighted average of the most recent three or more times of data. In this case, the biological information measurement system 1 may use a weighted average in which the weight of the data closer in time is heavier among the most recent three or more times of data. Furthermore, the biological information measurement system 1 does not need to use information that has been changed in the past (score after change) when calculating the average value.

[0307] <1-11-3. Third change> The biometric information measuring system 1 may make a change using any information, not limited to the first change and the second change. For example, the biometric information measuring system 1 may execute a third change that changes information using information for notifying the user. In this case, the biometric information measuring system 1 outputs second information regarding measurement accuracy when a predetermined condition is satisfied. The biometric information measuring system 1 outputs third information regarding measurement error when a predetermined condition is satisfied.

[0308] The vital information measuring system 1 makes a third change when at least one of the change conditions is satisfied. The vital information measuring system 1 executes the third change as shown in Fig. 28. Fig. 28 is a diagram showing the third change of information by the vital information measuring system. Content CT13 in Fig. 28 is information indicating the change over time of the score based on the measurement of the user's fecal gas.

[0309] A score SC3 in the content CT13 indicates a score before the change based on a measurement (target measurement) at a corresponding date and time. The vital information measurement system 1 performs a third change if any of the values ​​in the target measurements satisfies at least one of the change conditions. The vital information measurement system 1 executes the third change if it determines that the value in the target measurement satisfies the change condition.

[0310] 28, the vital information measurement system 1 determines that the value in the target measurement satisfies the change condition, and adds information INF1 to the content CT13. For example, when the vital information measurement system 1 determines that the value in the target measurement satisfies the change condition, it adds second information indicating that attention is required for the value calculated from the target measurement to the content CT13. The vital information measurement system 1 adds information INF1 including information indicating that the measurement accuracy may be poor to the content CT13. The vital information measurement system 1 adds information INF1 including third information indicating that there may be a measurement error to the content CT13.

[0311] The biological information measurement system 1 outputs content CT13 to which information INF1 including second information on measurement accuracy and third information on measurement error has been added. The biological information measurement system 1 outputs (transmits) content CT13 to which information INF1 notifying the user that there may be a problem with the measurement of the score SC3 of the target measurement has been added to display means 300, which is a user terminal used by the user (user X) who was the target of the target measurement. Note that the display of information is similar to that described in Fig. 25, and therefore a detailed description will be omitted.

[0312] As described above, the biological information measuring system 1 can suppress the influence of the measurement variation by changing the information provided to the user through the third modification. Therefore, the biological information measuring system 1 can appropriately execute the process based on the gas measurement.

[0313] The biological information measuring system 1 may also perform the third change when conditions other than the above change conditions are satisfied. For example, the biological information measuring system 1 may perform the third change by adding information INF1 to the content CT13 to notify that the measurement may not have been performed correctly, such as when the measurement itself is difficult.

[0314] The above-described embodiments and modifications can be appropriately combined as long as the processing contents are not contradictory.

[0315] Further advantages and modifications may readily occur to those skilled in the art. Thus, the invention in its broader aspects is not limited to the specific details and representative embodiments shown and described above. Accordingly, various modifications may be made without departing from the spirit or scope of the general inventive concept as defined by the appended claims and equivalents thereof.

[0316] The above-described embodiments and modifications may have the following configurations, but are not limited to these. (1) A vital sign measuring system for measuring vital signs of a user of a toilet room based on fecal gas discharged into a bowl of a toilet bowl installed in the toilet room, comprising: a gas detection device including a first gas sensor that reacts to hydrogen gas contained in a gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas; A control device for controlling the gas detection device; an output means for outputting information regarding a processing result by the control device; having The control device includes: calculating a first calculated value corresponding to hydrogen gas based on a detection result of the first gas sensor; calculating a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value; calculating a third calculation value corresponding to the odorous gas based on the detection result of the second gas sensor and the second calculation value; The biological information measuring system estimates a health condition of the user or information related to the health condition based on the third calculated value, The control device includes: When at least one of the first calculated value, the second calculated value, and the third calculated value satisfies a predetermined condition, control is performed to change the first information, which is the health condition of the user or information related to the health condition output by the output means, without being based on the third calculated value. A biological information measuring system comprising: (2) The predetermined condition includes at least one of the following: the first calculated value or the second calculated value is greater than a first threshold value, or the third calculated value is less than a second threshold value that is smaller than the first threshold value. 3. A biological information measuring system according to claim 1. (3) The predetermined condition includes that the second calculated value is greater than a zero calculated value corresponding to an odorous gas and hydrogen gas calculated based on a detection result of the second gas sensor. A biological information measuring system according to (1) or (2). (4) The control device includes: When the predetermined condition is satisfied, the value included in the first information is changed to a preset setting value. The biological information measuring system according to any one of (1) to (3) above. (5) A storage means for storing past first information, The control device includes: The first information is changed based on the past first information stored in the storage means. The biological information measuring system according to any one of (1) to (4) above. (6) The output means includes: If the predetermined condition is satisfied, second information regarding the measurement accuracy is output. The biological information measuring system according to any one of (1) to (5) above. (7) The output means includes: When the predetermined condition is satisfied, third information regarding the measurement error is output. The biological information measuring system according to any one of (1) to (6) above. (8) A toilet seat device that measures biological information of a user of a toilet room based on fecal gas discharged into a bowl of a toilet installed in the toilet room, a gas detection device including a first gas sensor that reacts to hydrogen gas contained in a gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas; A control device for controlling the gas detection device; an output means for outputting information regarding a processing result by the control device; having The control device includes: calculating a first calculated value corresponding to hydrogen gas based on a detection result of the first gas sensor; calculating a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value; calculating a third calculation value corresponding to the odorous gas based on the detection result of the second gas sensor and the second calculation value; The toilet seat device estimates a health condition or information about the health condition of the user based on the third calculated value, The control device includes: When at least one of the first calculated value, the second calculated value, and the third calculated value satisfies a predetermined condition, control is performed to change the first information, which is the health condition of the user or information related to the health condition output by the output means, without being based on the third calculated value. A toilet seat device comprising: [Explanation of symbols]

[0317] 1. Biometric information measurement system 2 Toilet seat device 3 Main body 4. Measuring Equipment 5 Toilet Seat 6 Cleaning nozzle 7. Toilet 8 Bowl section 9 Toilet lid 10 Suction device 20 Gas detection equipment 40 Gas Sensor 100 Control device 110 Communications Department 120 Storage section 130 Control section 131 Acquisition Department 132 Processing section 133 Output section 200 Estimation means R Toilet room

Claims

1. A vital sign measuring system for measuring vital signs of a user of a toilet room based on fecal gas discharged into a bowl of a toilet bowl installed in the toilet room, comprising: a gas detection device including a first gas sensor that reacts to hydrogen gas contained in a gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas; A control device for controlling the gas detection device; an output means for outputting information regarding a processing result by the control device; having The control device includes: calculating a first calculated value corresponding to hydrogen gas based on a detection result of the first gas sensor; calculating a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value; calculating a third calculation value corresponding to the odorous gas based on the detection result of the second gas sensor and the second calculation value; The biological information measuring system estimates a health condition of the user or information related to the health condition based on the third calculated value, The control device includes: When at least one of the first calculated value, the second calculated value, and the third calculated value satisfies a predetermined condition, control is performed to change the first information, which is the health condition of the user or information related to the health condition output by the output means, without being based on the third calculated value. A biological information measuring system comprising:

2. The predetermined condition includes at least one of the following: the first calculated value or the second calculated value is greater than a first threshold value, or the third calculated value is less than a second threshold value that is smaller than the first threshold value.

2. The biological information measuring system according to claim 1.

3. The predetermined condition includes that the second calculated value is greater than a zero calculated value corresponding to an odorous gas and hydrogen gas calculated based on a detection result of the second gas sensor.

3. The biological information measuring system according to claim 1 or 2.

4. The control device includes: When the predetermined condition is satisfied, the value included in the first information is changed to a preset setting value.

2. The biological information measuring system according to claim 1.

5. A storage means for storing past first information, The control device includes: The first information is changed based on the past first information stored in the storage means.

2. The biological information measuring system according to claim 1.

6. The output means includes: If the predetermined condition is satisfied, second information regarding the measurement accuracy is output.

2. The biological information measuring system according to claim 1.

7. The output means includes: When the predetermined condition is satisfied, the third information regarding the measurement error is output.

2. The biological information measuring system according to claim 1.

8. A toilet seat device that measures biological information of a user of a toilet room based on fecal gas discharged into a bowl of a toilet installed in the toilet room, a gas detection device including a first gas sensor that reacts to hydrogen gas contained in a gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas; A control device for controlling the gas detection device; an output means for outputting information regarding a processing result by the control device; having The control device includes: calculating a first calculated value corresponding to hydrogen gas based on a detection result of the first gas sensor; calculating a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value; calculating a third calculation value corresponding to the odorous gas based on the detection result of the second gas sensor and the second calculation value; The toilet seat device estimates a health condition or information about the health condition of the user based on the third calculated value, The control device includes: When at least one of the first calculated value, the second calculated value, and the third calculated value satisfies a predetermined condition, control is performed to change the first information, which is the health condition of the user or information related to the health condition output by the output means, without being based on the third calculated value. A toilet seat device comprising:

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