Biological information measurement 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 biological information measuring system and a toilet seat device. [[Background Art]]

[0002] Conventionally, there has been known a health measurement device that detects defecation gas discharged simultaneously with feces, measures hydrogen sulfide gas, which is an example of odorous gas contained in defecation gas, and measures the intestinal state based on the hydrogen sulfide gas (see, for example, Patent Document 1). There is also known a biological information system that analyzes the daily physical condition of a subject based on data of health-related gas consisting of at least one of hydrogen gas, carbon dioxide gas, or methane gas contained in defecation gas and odorous gas containing sulfur components (see, for example, Patent Document 2). For example, in order to suppress the influence of hydrogen gas when detecting odorous gas, a technique has been proposed to separate the influence of hydrogen gas detected by a hydrogen gas sensor from a detection result based on measurement by the odorous gas, thereby calculating the amount of the odorous gas. [[Prior Art Documents]] [[Patent Documents]]

[0003] [[Patent Document 1]] Japanese Unexamined Patent Publication No. 2009-250922 [[Patent Document 2]] Japanese Patent No. 6674623 [[Summary of the Invention]] [[Problem to be Solved by the Invention]]

[0004] However, the above-mentioned conventional technology has room for improvement. For example, simply separating the influence of hydrogen gas detected by a hydrogen gas sensor from a detection result based on measurement with an odorous gas may make it difficult to perform appropriate gas measurement due to measurement variations of the hydrogen gas sensor. Therefore, it is desired to enable appropriate execution of processing based on gas measurement.

[0005] The embodiments of the disclosure aim to provide a biometric information measurement system and a toilet seat device that can appropriately perform processing based on gas measurement. [Means for solving the problem]

[0006] A biological information measurement system according to one embodiment is a biological information measurement system that measures the biological information of a user of a toilet room based on the fecal gas discharged into the bowl of a toilet installed in the toilet room, and comprises a gas detection device equipped with a first gas sensor that reacts to hydrogen gas contained in the gas and a second gas sensor that reacts to odorous gas containing sulfur components and hydrogen gas, a control device that controls the gas detection device, and output means that outputs information regarding the processing results by the control device, wherein the control device calculates a first calculated value corresponding to hydrogen gas based on the detection result of the first gas sensor, and the first calculated value is used to determine the biological information of the user of the toilet room The system calculates a second calculated value corresponding to hydrogen gas from a second gas sensor, calculates a third calculated value corresponding to odorous gas based on the detection result of the second gas sensor and the second calculated value, and estimates the user's health status or information relating to the health status based on the third calculated value. The control device is characterized in that, if at least one of the first calculated value, the second calculated value, and the third calculated value satisfies a predetermined condition, it performs control to change the first information, which is the user's health status or information relating to the health status, output by the output means, without relying on the third calculated value.

[0007] According to one embodiment of the bio-information measurement system, even if the amount of hydrogen gas detected by the hydrogen gas sensor (corresponding to the first gas sensor) varies, it is possible to suppress the amount of odorous gas from falling below zero, thereby improving usability by avoiding situations where there is no data when displaying daily health conditions, such as the state of the intestinal environment, to the user. Therefore, the bio-information measurement system can appropriately perform processing based on gas measurements.

[0008] As described in Patent Documents 1 and 2, the inventors have been continuing their research on measuring physical condition using information from defecation gases. Through this research, they have found that the temporal changes in the ratio of healthy gases, consisting of hydrogen, carbon dioxide, acetic acid, methane, ethanol, water, etc., and odorous (malodorous) gases, consisting of ammonia, trimethylamine, hydrogen sulfide, methyl mercaptan, indole, skatole, etc., contained in defecation gases (flatulence) released during defecation indirectly capture the temporal changes in the intestinal environment. However, when the amount of hydrogen gas detected from the defecation gas is large or the amount of odorous gas is small, due to measurement variability of the hydrogen gas sensor, if they simply try to separate the influence of hydrogen gas detected by the hydrogen gas sensor from the detected value of odorous gas detected by the odorous gas, as in Patent Document 2, they face the problem that if the amount detected by the hydrogen gas sensor varies positively, the detected value of odorous gas will be 0 or negative, and they will not be able to accurately estimate the intestinal environment. Therefore, with the biological information measurement system according to one embodiment, even if the amount of hydrogen gas fluctuates due to measurement variations of the hydrogen gas sensor, it is possible to suppress large errors in the amount of odorous gas caused by this.

[0009] In a biological information measurement system according to one embodiment, the predetermined conditions include at least one of the following: the first calculated value or the second calculated value is greater than the first threshold, or the third calculated value is less than the second threshold which is smaller than the first threshold.

[0010] According to one embodiment of the bio-information measurement system, when the amount of health-related gases is large and / or the amount of odorous gases is small, where detection of odorous gases is considered difficult, the system avoids a situation where the amount of odorous gas becomes 0 or less and data cannot be displayed. In normal circumstances, the measurement data is displayed as is, and it can handle measurement errors that occur due to variations in hydrogen gas levels, further improving usability. Therefore, the bio-information measurement system can appropriately perform processing based on gas measurements.

[0011] In a biological information measurement system according to one embodiment, the predetermined condition is characterized in that the second calculated value is greater than the zero calculated value corresponding to the odorous gas and hydrogen gas calculated based on the detection result of the second gas sensor.

[0012] According to one embodiment of the bio-information measurement system, when the amount of hydrogen gas in the first gas sensor is large, which is considered difficult to detect odorous gases, a downward correction is performed. By correcting the amount of hydrogen gas to a smaller value only when correction is necessary, health conditions such as the state of the intestinal environment can be estimated with greater accuracy. Therefore, the bio-information measurement system can appropriately perform processing based on gas measurements.

[0013] In a biological information measurement system according to one embodiment, the control device is characterized in that, when the predetermined conditions are met, it changes the value included in the first information to a preset value.

[0014] According to one embodiment of the biological information measurement system, even in cases where measurement is difficult, simple measures can suppress deviations from the daily displayed measurement values. Therefore, the biological information measurement system can appropriately perform processing based on gas measurement.

[0015] A biological information measurement system according to one embodiment of the system has a storage means for storing past first information, and the control device is characterized in that it modifies the first information based on the past first information stored in the storage means.

[0016] According to one embodiment of the bio-information measurement system, even when measurement is difficult, deviations from the daily displayed measurement values ​​can be suppressed. For example, the intestinal environment changes gradually over several weeks, and temporal changes are important. According to one embodiment of the bio-information measurement system, if the most recent past data is used, it is unlikely that the intestinal environment has changed significantly since then, thus preventing major errors in the results. Therefore, the bio-information measurement system can appropriately perform processing based on gas measurements.

[0017] In a biological information measurement system according to one embodiment, the output means is characterized in that it outputs second information relating to measurement accuracy when the predetermined conditions are met.

[0018] According to one embodiment of the biometric information measurement system, by informing the user that accurate measurement may not have been achieved due to predetermined conditions, the system prevents the user from being unnecessarily worried by incorrect measurement results. Therefore, the biometric information measurement system can appropriately perform processing based on gas measurement.

[0019] In a biological information measurement system according to one embodiment, the output means is characterized in that it outputs third information relating to a measurement error when the predetermined conditions are met.

[0020] According to one embodiment of the biometric information measurement system, when certain conditions are met, the system informs the user that the measurement may not be accurate because the measurement occurred outside the range where the measurement accuracy of the gas sensor cannot be guaranteed. This prevents the user from being unnecessarily worried by incorrect measurement results. Therefore, the biometric information measurement system can appropriately perform processing based on gas measurements.

[0021] A toilet seat device according to one embodiment is a toilet seat device that measures the biological information of a user of a toilet room based on the excrement gas discharged into the bowl of a toilet installed in a toilet room, and comprises a gas detection device equipped with a first gas sensor that reacts to hydrogen gas contained in the gas and a second gas sensor that reacts to odorous gas containing sulfur components and hydrogen gas, a control device that controls the gas detection device, and output means that outputs information regarding the processing results of the control device, wherein the control device calculates a first calculated value corresponding to hydrogen gas based on the detection result of the first gas sensor, and the second calculated value based on the first calculated value The device calculates a second calculated value corresponding to hydrogen gas from a gas sensor, calculates a third calculated value corresponding to odorous gas based on the detection result of the second gas sensor and the second calculated value, and the toilet seat device estimates the user's health status or information relating to the health status based on the third calculated value, and the control device is characterized in that, if at least one of the first calculated value, the second calculated value, and the third calculated value satisfies a predetermined condition, it performs control to change the first information, which is the user's health status or information relating to the health status, output by the output means, without relying on the third calculated value.

[0022] According to one embodiment of the toilet seat device, even if the amount of hydrogen gas detected by the hydrogen gas sensor (corresponding to the first gas sensor) varies, it is possible to suppress the amount of odorous gas from falling below zero, thereby improving usability by avoiding situations where there is no data when displaying daily health conditions, such as the state of the intestinal environment, to the user. Therefore, the toilet seat device can appropriately perform processing based on gas measurement. [Effects of the Invention]

[0023] According to one embodiment, processing based on gas measurement can be appropriately performed. [Brief explanation of the drawing]

[0024] [Figure 1] Figure 1 is a perspective view showing an example of the configuration of a toilet room according to this embodiment. [Figure 2] Figure 2 is a plan view showing an example of the configuration of a measuring device according to an embodiment. [Figure 3] Figure 3 shows an example of an overall overview of the biological information measurement system according to the present invention. [Figure 4] Figure 4 shows an example of the relationship between user behavior and system operation. [Figure 5] Figure 5 is a block diagram showing an example of the configuration of a toilet seat device according to an embodiment. [Figure 6] Figure 6 is a block diagram showing an example of the configuration of a control device according to this embodiment. [Figure 7] Figure 7 shows an example of the configuration of a gas sensor. [Figure 8] Figure 8 shows an example of the relationship between the value measured by the gas sensor and the amount of gas. [Figure 9] Figure 9 shows an example of a gas sensor and reaction components. [Figure 10] Figure 10 shows an example of the process for calculating the amount of odorous gas. [Figure 11] Figure 11 shows an overview of how to calculate the amount of odorous gas. [Figure 12] Figure 12 shows an example of the impact of measurement variability in the gas sensor on the calculation. [Figure 13] Figure 13 shows an example of the impact of measurement variability in the gas sensor on the calculation. [Figure 14] Figure 14 shows a first measurement example using a gas sensor. [Figure 15] Figure 15 shows a second measurement example using a gas sensor. [Figure 16] Figure 16 shows a third measurement example using a gas sensor. [Figure 17] Figure 17 shows a fourth measurement example using a gas sensor. [Figure 18] Figure 18 shows examples of the fifth and sixth measurements using a gas sensor. [Figure 19]Figure 19 shows a seventh measurement example using a gas sensor. [Figure 20] Figure 20 shows an example of a configuration and control corresponding to the third measurement example. [Figure 21] Figure 21 shows an example of the configuration and control corresponding to the fourth measurement example. [Figure 22] Figure 22 shows an example of the configuration and control corresponding to the fourth measurement example. [Figure 23] Figure 23 shows an example of the configuration and control corresponding to the fourth measurement example. [Figure 24] Figure 24 shows the first change in information obtained by the biometric information measurement system. [Figure 25] Figure 25 shows an example of how the information is displayed after modification by the biometric information measurement system. [Figure 26] Figure 26 shows an example of score correction by a biometric information measurement system. [Figure 27] Figure 27 shows the second change in information obtained by the biometric information measurement system. [Figure 28] Figure 28 shows the third change in information obtained by the biometric information measurement system. [Modes for carrying out the invention]

[0025] The embodiments of the biological information measurement system and toilet seat device disclosed in this application will be described in detail below with reference to the attached drawings. However, this invention is not limited to the embodiments shown below. In this application, gases that originate from intestinal fermentation and indicate high health status are referred to as health-related gases, and gases that originate from intestinal putrefaction and indicate low health status are referred to as odorous gases.

[0026] For example, health-promoting gases are gases produced by fermentation by beneficial bacteria in the intestines. For instance, health-promoting gases may also be gases derived from intestinal fermentation that increase in quantity with higher intestinal health. Specific examples of health-promoting gases include hydrogen, carbon dioxide, acetic acid, methane, ethanol, and water.

[0027] Furthermore, for example, odorous gases are gases produced by fermentation by harmful bacteria in the intestines. For example, odorous gases may be gases containing sulfur components among the fecal gases. Examples of odorous gases include ammonia, trimethylamine, hydrogen sulfide, methyl mercaptan, indole, and skatole. Note that the term fecal gas used here refers to gases that come out of the intestines, and for example, fecal gases include gases that come out at the same time as defecation and gases that are not expelled at the same time as defecation.

[0028] <1. Embodiments> The following section will describe the toilet room R, which serves as the gas collection location, and the overview of the biological information measurement system 1, followed by a description of the various processes performed by the biological information measurement system 1 and the configuration for performing those processes.

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

[0030] As shown in Figure 1, a toilet bowl 7 is installed on the floor surface F in the toilet room R. In the following, the direction from the floor surface F towards the space of the toilet room R may be referred to as "up". Components of the biological information measurement system 1, such as a measuring device 4 that performs gas detection, including a suction device 10 and a gas detection device 20, are arranged in the toilet room R.

[0031] The toilet bowl 7 is a toilet bowl, and a bowl portion 8 is formed in the toilet bowl 7. The bowl portion 8 has a downward-sloping shape and is the part that receives the user's excrement. The toilet bowl 7 is not limited to the floor-standing type as shown in the figure, but can be of any form as long as the biometric information measurement system 1 can be applied, and may also be a wall-mounted type, etc. The toilet bowl 7 is provided with a rim portion around the entire circumference of the end of the opening facing the bowl portion 8. In the toilet room R, for example, a flush water tank for storing flush water may be installed near the toilet bowl 7, or it may be a so-called tankless type without a flush water tank.

[0032] For example, when a flushing control unit (not shown) installed in the toilet room R is operated by a user, flushing water is supplied to the bowl portion 8 of the toilet bowl 7, thereby flushing the toilet. The flushing control unit may be an operating lever or a touch operation on a toilet flushing object displayed on the operating device 30. Note that the flushing control unit is not limited to one that allows the user to perform toilet flushing manually, such as with an operating lever, but may also be one that performs toilet flushing by detecting the user's body with a sensor that detects the user, such as a seating sensor.

[0033] The toilet seat device 2 is mounted on top of the toilet bowl 7 and comprises a main body 3, a measuring device 4, a toilet seat 5, and a washing nozzle 6. The toilet seat device 2 is placed on top of the toilet bowl 7, which has a bowl portion 8 for receiving excrement. The toilet seat device 2 is placed on top of the toilet bowl 7 so that the washing nozzle 6 advances into the bowl portion 8 before spraying washing water. The toilet seat device 2 may be detachably attached to the toilet bowl 7, or it may be attached to be integrated with the toilet bowl 7.

[0034] The toilet seat device 2 measures the biological information of the user of the toilet room R based on the fecal gas discharged into the bowl portion 8 of the toilet bowl 7 installed in the toilet room R, using a configuration including the measuring device 4. The measuring device 4 includes a suction device 10 and a gas detection device 20. The measuring device 4 is described in detail in Figure 2.

[0035] As shown in Figure 1, the toilet seat 5 is formed in an annular shape and is positioned along the edge (rim) of the bowl portion 8, overlapping the opening of the toilet bowl 7. The user sits on the toilet seat 5. The toilet seat 5 functions as a seat that supports the buttocks of the seated user. The toilet lid 9 is attached to the toilet seat device 2 as needed, and the toilet seat device 2 does not necessarily have to have the toilet lid 9.

[0036] The cleaning nozzle 6 is a nozzle for discharging cleaning water. The cleaning nozzle 6 is configured to move forward and backward relative to the housing of the main unit 3 by being driven by a drive source such as an electric motor (nozzle motor 61 in Figure 5, etc.). The cleaning nozzle 6 is also connected to a water source such as a water pipe (not shown). As shown in Figure 1, when the cleaning nozzle 6 is in the extended position relative to the housing of the main unit 3 (also called the "extended position"), it sprays water from the water source onto the user's body to clean the area.

[0037] Figure 1 shows the state in which the cleaning nozzle 6 is in the extended position. Note that the cleaning nozzle 6 may also be used for cleaning the inside of the toilet bowl 7 (bowl portion 8, etc.). The cleaning nozzle 6 may be used in a way that allows switching between a localized cleaning mode for cleaning the user's private parts and a toilet bowl cleaning mode for spraying water inside the toilet bowl 7. For example, the cleaning nozzle 6 may be used in a way that allows switching between the localized cleaning mode and the toilet bowl cleaning mode in response to control by the toilet seat device 2.

[0038] The operating device 30 is installed in the toilet room R. The operating device 30 is installed in a position that can be operated by the user. The operating device 30 is installed in a position that can be operated when the user is seated on the toilet seat 5. In Figure 1, the operating device 30 is installed on the left side wall W as viewed from the user seated on the toilet seat 5. The operating device 30 may be installed in various ways other than on the wall, as long as it is accessible to the user seated on the toilet seat 5. For example, the operating device 30 may be installed integrally with the toilet seat device 2.

[0039] The operating device 30 is connected to the toilet seat device 2 via a predetermined network, either by wire or wireless communication. For example, the connection between the toilet seat device 2 and the operating device 30 can be any connection that enables the transmission and reception of information, and may be wired or wireless.

[0040] The operating device 30 accepts various operations from the user via a display surface (e.g., a display screen 31) through, for example, a touch panel function. Alternatively, the operating device 30 may be equipped with switches and buttons, and accept various operations via these switches and buttons. The display screen 31 is a display screen of a tablet terminal, for example, realized by a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various information. In other words, the operating device 30 accepts user input 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 operating device 30 receives user input to control various functions provided within the toilet room R. The operating device 30 also receives user input to control the execution of localized washing by the toilet seat device 2. For example, the operating device 30 may have switches, buttons, etc. that receive the user input described above, and may execute various processes in response to user contact with the switches, buttons, etc. Note that the above is just an example, and the operating device 30 may also receive user input to execute various processes.

[0042] The biometric information measurement system 1 measures the biometric information of users of the toilet room R based on the fecal gas discharged into the bowl portion 8 of the toilet bowl 7 installed in the toilet room R, through various configurations and processes described later. The biometric information measurement system 1 performs control to appropriately measure the fecal gas. Based on the information collected through measurements, the biometric information measurement system 1 may provide information to the user's smartphone or other user terminal (corresponding to the display means 300 in Figure 3). In addition, the biometric information measurement system 1 may provide information to the operation device 30 (or display screen 31) of the toilet room R based on the information collected through measurements.

[0043] <1-2. Configuration of the measuring device> Next, the configuration of the measuring device 4 will be described with reference to Figure 2. Figure 2 is a plan view showing an example of the configuration of the measuring device according to the embodiment. In the example shown in Figure 2, the measuring device 4 is shown as being located inside the main body 3. In Figure 2, the casing (cover) of the main body 3 where the measuring device 4 is located is removed to illustrate the configuration of the measuring device 4.

[0044] The measuring device 4 includes a suction device 10 that sucks gas from the bowl portion 8 of the toilet bowl 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 gas from the bowl portion 8 of the toilet bowl 7. The suction device 10 is connected to a duct 11 that communicates with the bowl portion 8 of the toilet bowl 7. The duct 11 functions as a flow path for the gas in the bowl portion 8 to flow into the measuring device 4. The suction device 10 sucks gas from the bowl portion 8 using the duct 11 as a flow path by driving the fan. For example, the suction device 10 performs suction-related processing according to the control of the control device 100. If the suction device 10 is shared 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] The gas detection device 20 performs processing related to the detection of the components of the gas drawn in by the suction device 10. In Figure 2, the gas detection device 20 is positioned downstream of the suction device 10 when viewed from the bowl section 8 side. Note that Figure 2 is merely an example, and the gas detection device 20 may be positioned at any location where the gas drawn in by the suction device 10 can be introduced. The gas detection device 20 is connected to a duct 12 that communicates with the outside of the main body section 3. The duct 12 functions as a flow path that allows the gas inside the gas detection device 20 to flow out from the measuring device 4. For example, in response to the operation of the suction device 10, the gas inside the gas detection device 20 is released outside the measuring device 4 through the duct 12 as a flow path.

[0047] For example, the gas detection device 20 performs processing related to gas detection in accordance with the control of the control device 100. The gas detection device 20 includes a gas sensor 40 that reacts to gases contained in the gas. The gas sensor 40 detects specific components of the gas.

[0048] For example, the gas sensor 40 may be a semiconductor gas sensor. 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 gases. 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 describing gas sensors 40a to 40c without particularly distinguishing between them, they will be described as gas sensor 40.

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

[0050] <1-3. Example of an overall overview of a biological information measurement system> Next, an example of the overall overview of the biological information measurement system 1 will be described with reference to Figure 3. Figure 3 is a diagram showing an example of the overall overview of the biological information measurement system according to the embodiment. Note that explanations of the same points as those explained in Figures 1 and 2 will be omitted as appropriate.

[0051] In Figure 3, the biological information measurement system 1 includes a suction device 10, a gas detection device 20, a control device 100, and an estimation means 200. Figures 1 and 2 show a case where the toilet seat device 2 has a suction device 10, a gas detection device 20, and a control device 100, but it is not limited to this. 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 them wirelessly or via wired means. Also, 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) that has the function of performing estimation processing based on information obtained 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 devices located inside the toilet room R, such as the toilet seat device 2 or the gas detection device 20 (also referred to as "in-toilet devices"), via a predetermined network such as the Internet, either by wired or wireless means.

[0053] Furthermore, the estimation means 200 is connected to a device that displays information to the user, such as the display means 300, via a predetermined network such as the Internet, either by wire or wireless communication. The estimation means 200 may be connected to the toilet device and the display means 300, etc., in any way as long as it is capable of transmitting and receiving information, and may be connected by wire or by wireless communication. The estimation means 200 may also be able to communicate with the control device 100.

[0054] The estimation means 200 uses information received from the toilet device to perform estimation processing regarding the user's health status. The data acquired so far may be stored in the estimation means 200 or in the display means 300. The estimation means 200 generates information for estimating the user's health status (also called "health estimation information") or related information based on the amount of healthy gases and odorous gases in the user's defecation gas. The estimation means 200 calculates a score as the user's health estimation information based on the ratio of healthy gases to odorous gases in the user's defecation gas. For example, the estimation means 200 may use arbitrary information such as ratios or odors alone. The above is merely an example, and the estimation means 200 may generate arbitrary 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 it may generate health estimation information based on the following processing results.

[0055] For example, the estimation means 200 may estimate information about the user's intestinal state from the measured values. For example, the estimation means 200 may estimate information about the state of bacteria. In this case, for example, the estimation means 200 may estimate the occupancy rate of certain bacteria, the amount and ratio of beneficial and harmful 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 beneficial and harmful substances, etc. Also, for example, the estimation means 200 may estimate the state of intestinal pH. Furthermore, the estimation means 200 may generate information that scores the above information or evaluates its quality. For example, the estimation means 200 may generate the above information as user health estimation information.

[0056] Furthermore, for example, the estimation means 200 may generate information about the user's health status from the measured values. In this case, for example, the estimation means 200 may generate a score or information evaluating the quality of the user's gut environment. For example, the estimation means 200 may generate information about the user's gut environment. For example, the estimation means 200 may generate information about the user's immunity. For example, the estimation means 200 may generate information about the user's tendency to lose weight. For example, the estimation means 200 may generate information about the cholesterol index. For example, the estimation means 200 may generate information about the metabolic score. For example, the estimation means 200 may generate the above-mentioned information as estimated health information for the user. Note that the above-mentioned examples are merely illustrative, and the estimation means 200 may generate various types of information related to the user's health status, not limited to those mentioned above.

[0057] The estimation means 200 estimates that the user is healthier the more healthy the user is, based on the calculated ratio, the greater the proportion of healthy gases in the user's defecation gas compared to foul-smelling gases. The estimation means 200 estimates that the user is unhealthier the more foul-smelling gases in the user's defecation gas compared to healthy gases, based on the calculated ratio. Note that the above is merely an example, and the estimation means 200 may perform any estimation based on the calculated score. The estimation means 200 transmits the information to be provided to the user to the display means 300. The estimation means 200 transmits the score calculated as the user's health estimation information to the display means 300 used by that user.

[0058] The estimation means 200 is not limited to a cloud server (server device), but may be any device. In other words, the device configuration and arrangement of the estimation means 200 can be any form as long as the desired processing can be realized. For example, the estimation means 200 may be a portable terminal (device) such as a laptop computer that can be carried by the administrator of the biometric information measurement system 1. Alternatively, the estimation means 200 may be placed in the toilet room R. For example, the estimation means 200 may be configured to be placed in the toilet room R. For example, the function of the estimation means 200 may be provided by the toilet seat device 2. 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 the 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 can be implemented by, for example, a smartphone, a mobile phone, a PDA (Personal Digital Assistant), a tablet terminal, or a notebook PC (Personal Computer). For example, the display means 300 is connected to a device included in the biometric information measurement system 1, such as the estimation means 200, via a predetermined network, either by wired or wireless means.

[0060] The display means 300 transmits and receives information with 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 the user's estimated health information from the estimation means 200. The display means 300 displays information including the score calculated as the user's estimated health information.

[0061] In Figure 3, the display means 300 displays the score calculated as the user's estimated health information as the user's gut environment score. For example, the display means 300 displays the user's gut environment score in chronological order for each date and time of excretion. The display means 300 displays the target value of the score, information showing the change in the user's gut environment score over time, and textual information indicating its 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] The above is merely an example, and the biometric information measurement system 1 can employ any device configuration as long as it can achieve the desired processing. In the biometric information measurement system 1, the toilet seat device 2 may have configurations 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 may or may not be included in the biometric information measurement system 1. For example, if the display means 300 is the operating device 30 of the toilet room R, the display means 300 may be included in the biometric information measurement system 1. In this case, the operating device 30 has the function of displaying the user's estimated health information.

[0063] <1-4. User Behavior and System Operation> Next, we will explain an example of the relationship between the movements (behavior) of the user using the biometric information measurement system 1 and the movements (operations) of the biometric information measurement system 1, using Figure 4. Figure 4 is a diagram illustrating an example of the relationship between the user's behavior and the system's operation.

[0064] First, referring to Figure 4, we will explain the flow of actions of a user who defecates in toilet room R. Users of toilet room R perform the actions from stage 1 to stage 7 as shown in Figure 4.

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

[0066] After defecating, the user performs the fifth stage of action, which involves using the toilet seat device 2 for local cleaning and using toilet paper to clean the area after defecation. After completing the post-defecation cleanup, the user performs the sixth stage of action, which involves standing up and getting off the toilet seat 5. After getting off the seat, the user performs the seventh stage of action, which involves flushing the toilet bowl 7, leaving the toilet room R, and checking the results of the defecation gas analysis using the biometric information measurement system 1.

[0067] Next, the operation flow of the biometric information measurement system 1 corresponding to the user's actions described above will be explained. The biometric information measurement system 1 starts gas suction before the user enters the toilet room R and begins to defecate. In Figure 4, the biometric information measurement system 1 starts gas suction between the first and third stages. This allows the biometric information measurement system 1 to complete the measurement preparation before the user defecates. For example, the biometric information measurement system 1 suctions the gas in the bowl section 8 before the user defecates, thereby suctioning a baseline gas for comparison with the gas after the user defecates. For example, the biometric information measurement system 1 calculates the increment (increase) from the baseline to estimate (calculate) the amount of components contained in the defecation gas.

[0068] The biometric information measurement system 1 measures the fecal gas while a seated user is defecating and before leaving the seat. In Figure 4, the biometric information measurement system 1 measures the user's fecal gas from before the fourth stage to between the fifth stage. As a result, the biometric information measurement system 1 continuously aspirates gas and acquires data while the user is seated.

[0069] The biometric information measurement system 1 performs an analysis of the stool gas after the measurement is completed. In Figure 4, the biometric information measurement system 1 performs the analysis of the user's stool gas between stages 6 and 7. As a result, after the user finishes defecating, the biometric information measurement system 1 analyzes the stool gas (results) information obtained for that user and calculates a score. The biometric information measurement system 1 analyzes the user's stool gas and provides the user with the analysis results. Note that the analysis and provision of results are not limited to stages 6 and 7, but may be performed at any time when the information can be provided. For example, the biometric information measurement system 1 may perform the analysis and provide various information such as results at any time, such as during measurement or immediately after 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 Figure 5. Figure 5 is a block diagram showing an example of the configuration of a toilet seat device according to this embodiment. As shown in Figure 5, the toilet seat device 2 includes a human presence sensor 32, a seating sensor 33, an illumination sensor 34, a control device 100, a nozzle motor 61, and a washing nozzle 6.

[0071] Note that the configuration of the toilet seat device 2 shown in Figure 5 is merely an example, and if each component is provided individually, the toilet seat device 2 may have only the toilet seat 5. Thus, the configuration of the toilet seat device 2 shown in Figure 5 is merely an example, and any configuration can be adopted for the toilet seat device 2. The motion sensor 32, seating sensor 33, illuminance sensor 34, etc., may be placed in any location as long as the desired sensing is possible. Furthermore, the toilet seat device 2 only needs to be able to detect when a user sits on the toilet seat 5, and only needs to have at least one of the motion sensor 32, seating sensor 33, and illuminance sensor 34. The toilet seat device 2 transmits and receives information with an information processing device such as an estimation means 200 via a predetermined network (such as the Internet) by wired or wireless connection using a communication device (for example, the communication unit 110 of the control device 100 in Figure 6).

[0072] The motion sensor 32 has the function of detecting a human body. For example, the motion sensor 32 is used as a seating detection means to detect when a user sits on the toilet seat 5. For example, the motion sensor 32 may be implemented by a pyroelectric sensor using an infrared signal. For example, the motion sensor 32 may be implemented by a microwave sensor. For example, the motion sensor 32 is an infrared light-emitting and receiving distance measuring sensor and may detect a human body present near the toilet seat 5 immediately before a person (user) sits on the toilet seat 5, or a user who has sat on the toilet seat 5.

[0073] The motion sensor 32 also functions as a seat-away detection sensor, detecting when a user leaves the toilet seat 5. The motion sensor 32 detects the user's seated state on the toilet seat 5. The motion sensor 32 outputs a detection signal to the control device 100. Note that the above is just one example, and the motion sensor 32 may detect a person (such as a user) approaching the toilet seat 5.

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

[0075] The seating sensor 33 also functions as a seating detection sensor that detects when a user leaves 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 one example, and the seating sensor 33 may detect a person sitting on the toilet seat device 2 by various means other than those described 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 to detect when a user sits on the toilet seat 5. For example, the illuminance sensor 34 is positioned facing the bowl portion 8 and detects the illuminance inside the bowl portion 8.

[0077] The illuminance sensor 34 also functions as a seat-away detection sensor, detecting 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 can detect the user's seating 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 performs various information processing related to gas measurement, etc. The control device 100 can be any device as long as it has the necessary configuration for control, for example, a microcomputer.

[0079] The control device 100 controls various components for measuring the gas. For example, the control device 100 controls various valves such as switching valves and shut-off valves. For example, the control device 100 controls the gas flow path by controlling the switching valve. For example, the control device 100 switches the gas flow path by switching the 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 when the user sits on the toilet seat 5, and instructs the gas detection device 20 to stop defecation gas measurement when the user leaves the toilet seat 5.

[0081] The control device 100 transmits control information to the gas detection device 20 via a wired connection. Alternatively, the control device 100 may transmit control information to the gas detection device 20 wirelessly. For example, if the control device 100 is configured as a separate device from the toilet seat device 2, it may transmit control information for 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 received control information.

[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. Alternatively, the control device 100 may transmit control information to the suction device 10 wirelessly. For example, if the control device 100 is configured as a separate device from the toilet seat device 2, it may transmit control information for 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 received control information.

[0083] In addition, the control device 100 controls various components of the biological information measurement system 1, in addition to those mentioned above. The control device 100 controls the nozzle motor 61, etc. The control device 100 controls the nozzle motor 61, etc., based on signals transmitted from the operating device 30.

[0084] The control device 100 controls the nozzle motor 61 based on the control instruction signal for localized cleaning transmitted from the operating device 30. The control device 100 controls the nozzle motor 61 to move the cleaning nozzle 6 forward and backward. Note that 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 has the function of a valve that controls the flow of fluid by an electromagnetic method. For example, by controlling the solenoid valve, the control device 100 switches the supply and stop of tap water from the water supply pipe.

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

[0086] The control device 100 may also control the toilet lid 9 and toilet seat 5 as shown in Figure 1. In this case, the control device 100 controls the toilet lid 9 and toilet seat 5 based on signals transmitted from the operating device 30. The control device 100 controls the toilet lid 9 based on control instruction signals for opening and closing the toilet lid transmitted from the operating device 30. The control device 100 controls the toilet seat 5 based on control instruction signals for opening and closing the seating area transmitted from the operating device 30. The control device 100 transmits control information to the toilet lid 9 and toilet seat 5 via wire. Alternatively, the control device 100 may transmit control information to the toilet lid 9 and toilet seat 5 wirelessly.

[0087] The control device 100 determines whether or not a user has been detected seated by seating detection means such as the motion sensor 32, seating sensor 33, and illuminance sensor 34. The control device 100 also determines whether or not a user has been detected seated on the toilet seat 5 based on the defecation behavior prediction information obtained from the seating detection means.

[0088] The nozzle motor 61 is a drive source (motor) that drives the cleaning nozzle 6 forward and backward. The nozzle motor 61 performs control to move the cleaning nozzle 6 forward and backward relative to the main body 3. The nozzle motor 61 performs control to move the cleaning nozzle 6 forward and backward in response to instructions from the control device 100.

[0089] In the configuration shown in Figure 5, a configuration in which the toilet seat device 2 includes the control device 100 is shown as an example. However, the control device 100, motion sensor 32, seating sensor 33, and illuminance sensor 34 may be configured as separate devices from the toilet seat device 2. For example, the control device 100 may be configured as a separate device from the toilet seat device 2. For example, the control device 100 may be a server device and may be located at a distance from the toilet seat device 2. In this case, the control device 100 communicates with each device, such as the toilet seat device 2, motion sensor 32, seating sensor 33, and illuminance sensor 34, and receives various information from each device. In this case, the toilet seat device 2 may also have a configuration (control circuit, etc.) 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 employ any device configuration as long as the desired processing is possible.

[0090] <1-6. Functional Configuration of the Control Device> The functional configuration of the control device will be described below with reference to Figure 6. Figure 6 is a block diagram showing an example of the configuration of the control device according to the embodiment. As shown in Figure 6, the control device 100 includes 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 Figure 6, and other configurations are also possible as long as the desired processing can be achieved. For example, the control device 100 does not have a communication unit 110.

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

[0092] The storage unit 120 is implemented by, for example, semiconductor memory elements such as RAM (Random Access Memory) and flash memory, or storage devices such as hard disks and optical discs. For example, the storage unit 120 is a computer-readable recording medium that non-temporarily stores data used by various information processing programs, etc.

[0093] The storage unit 120 according to this embodiment stores various information necessary 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 processes. For example, the storage unit 120 stores information related to thresholds used in processing, such as a first threshold and a second threshold.

[0094] The storage unit 120 stores information indicating predetermined conditions used to determine whether information can be changed. The storage unit 120 stores information indicating predetermined conditions including at least one of the following: the first calculated value or the second calculated value is greater than the first threshold, or the third calculated value is less than the second threshold which is smaller than the first threshold. The storage unit 120 stores information indicating predetermined conditions including the second calculated value being greater than the zero calculated value corresponding to the 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 history information, such as information output in the past as a result of past estimation processing.

[0095] Returning to Figure 6, let's continue the explanation. The control unit 130 is implemented, for example, by an MPU (Micro Processing Unit) or CPU (Central Processing Unit) executing a program stored inside the control device 100 (for example, a program for various information processing related to this disclosure) using RAM or the like as a working area. Alternatively, the control unit 130 may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array).

[0096] As shown in Figure 6, the control unit 130 includes an acquisition unit 131, a processing unit 132, and an output unit 133, and realizes or executes the information processing functions and operations described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in Figure 6, and other configurations are also acceptable as long as they perform the information processing described later.

[0097] The acquisition unit 131 acquires various types of information. The acquisition unit 131 acquires various types of information from the storage unit 120. The acquisition unit 131 receives information from other devices. The acquisition unit 131 receives information detected by various sensors (detection information, etc.) 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 sensors among the human presence sensor 32, seating sensor 33, and illuminance sensor 34 from that sensor.

[0099] The acquisition unit 131 acquires information predicting the use of a toilet for defecation based on detection by the seating detection means. For example, the acquisition unit 131 acquires information predicting the use of a toilet for defecation indicating that a user is seated.

[0100] The processing unit 132 performs various processes. The processing unit 132 performs various processes using the information stored in the storage unit 120. The processing unit 132 controls the gas detection device 20.

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

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

[0103] The processing unit 132 calculates various information about the gas. The processing unit 132 calculates values ​​based on the measurements taken 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 shows 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 called the "calculated value") using equation (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 shows the relationship between the resistance value and the gas concentration.

[0105] The processing unit 132 performs an estimation process to estimate information for estimating the user's health status (health estimation information) or related information based on a first calculated value corresponding to hydrogen gas and a third calculated value corresponding to odorous gas, which are obtained based on the detection results of the first gas sensor, the gas sensor 40a. If the estimation means 200 performs the estimation, the processing unit 132 does not need to perform the estimation process.

[0106] The processing unit 132 calculates a second calculated value corresponding to the hydrogen gas from the gas sensor 40b based on a plurality of calculated values ​​corresponding to the hydrogen gas contained in the gas. The processing unit 132 calculates a third calculated value corresponding to the odorous gas based on the detection result of the gas sensor 40b and the second calculated value. The processing unit 132 calculates a second calculated value using a plurality of calculated values, including the first calculated value corresponding to the 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 multiple calculated values ​​obtained by measuring the gas in the sealed space multiple times using the gas sensor 40a. The processing unit 132 calculates a second calculated value, which is a statistical value of multiple calculated values ​​obtained by measuring the gas in the storage section multiple times. The processing unit 132 calculates a second calculated value, which is a statistical value of one or more calculated values ​​obtained by measuring the gas in the flow path once or multiple times.

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

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

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

[0111] The processing unit 132 performs a correction on at least one of the zeroth calculated value, the second calculated value, or the third calculated value corresponding to the odorous gas and hydrogen gas, which are calculated based on the detection results of the gas sensor 40b. As a correction, the processing unit 132 either decreases the second calculated value or increases the zeroth calculated value.

[0112] The processing unit 132 performs a correction if the first or second calculated value exceeds the first threshold, or if the third calculated value falls below the second threshold, which is smaller than the first threshold. The processing unit 132 also performs a correction if the second calculated value exceeds the zeroth calculated value. The processing unit 132 has a correction value set in advance as a value corresponding to the odorous gas, and if the third calculated value falls below the third threshold, it replaces the third calculated value with the correction value as a correction.

[0113] If at least one of the first, second, and third calculated values ​​satisfies predetermined conditions, the processing unit 132 controls the first information, which is the user's health status or information relating to the health status, to be output by the output means, without relying on the third calculated value. If the predetermined conditions are met, the processing unit 132 changes the value included in the first information to a preset value.

[0114] The processing unit 132 modifies the first information based on past first information stored in the memory means. The processing unit 132 determines to output second information regarding measurement accuracy if predetermined conditions are met. The processing unit 132 determines to output third information regarding measurement errors if predetermined conditions are met.

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

[0116] The output unit 133 transmits various information used by the estimation means 200 for estimation processing to the estimation means 200. The output unit 133 transmits information indicating the measured value measured by the gas detection device 20. The output unit 133 transmits information indicating the calculated value calculated by the processing unit 132.

[0117] The output unit 133 outputs various information such as content. If predetermined conditions are met, the output unit 133 outputs information including the modified score, which is the original score data. If predetermined conditions are not met, the output unit 133 outputs information including the original score data. If predetermined conditions are met, the output unit 133 outputs second information regarding measurement accuracy. If predetermined conditions are met, the output unit 133 outputs third information regarding measurement error.

[0118] <1-7. Gas Sensors> From here, we will explain an example of a gas sensor configuration using Figure 7. Figure 7 is a diagram showing an example of a gas sensor configuration. Specifically, Figure 7 is a diagram showing an example of the CR circuit configuration of a semiconductor type gas sensor 40.

[0119] The gas sensor 40 consists of a sensor element and a measuring resistor. In Figure 7, the gas sensor 40 has a circuit configuration CR in which the sensor element (corresponding to the sensor resistor RS in Figure 7) and the measuring resistor (corresponding to the resistor RL in Figure 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 equation (1). Equation (1) corresponds to the circuit configuration CR shown in Figure 7 and is the same equation as the function FC1 in Figure 7.

[0121] RS =((Vc-Vout) / Vout)×RL… (1)

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

[0123] In equation (1), "RL" represents the resistance value of the resistive element RL. In equation (1), "Vc" represents the voltage value of the circuit voltage Vc. In equation (1), "Vout" 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 measurement value measured by the gas sensor 40.

[0124] The resistance value of the sensor resistance RS in equation (1) is an indicator related to the amount of gas. The biological information measurement system 1 calculates an indicator (resistance value) related to the amount of gas from the measured value (voltage value), and calculates the amount of gas from the calculated resistance value. A detailed explanation of the principle of semiconductor gas sensors is omitted, but for example, in the circuit configuration CR in Figure 7, "RH" corresponds to a heater (resistor) for heating the sensor element, and "V" corresponds to a heater (resistor) for heating the sensor element. H This corresponds to the heater voltage. Note that the gas sensor in this invention is not limited to a semiconductor type sensor; any sensor satisfying the above formula (1) can be used as a substitute.

[0125] <1-8. Overview of Processing in the Biological Information Measurement System> From here, we will explain an example of processing based on the configuration of the biological information measurement system 1 described above. First, before explaining the various processes in the biological information measurement system 1, we will explain the gas sensor and the relationship between the values ​​based on the gas sensor measurements and the amount of gas. Note that explanations of points that are the same as those described above will be omitted as appropriate.

[0126] <1-8-1. Examples of the relationship between gas sensor measurement and quantity> First, the relationship between gas sensor measurements and gas quantity will be explained using Figure 8. Figure 8 shows an example of the relationship between the value based on sensor measurements and the amount of gas.

[0127] For example, Figure 8 shows graph GR11, which is a log-log graph of the calculated value of component A (reciprocal of the resistance value) based on measurements with a gas sensor, and the amount of gas of component A (also simply called "amount"). Specifically, in graph GR11 in Figure 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 graph GR11 correspond to, for example, the measurement results obtained to derive the relationship between gas sensor measurements and quantities. The horizontal axis shows the calculated value of component A obtained from actual measurements using a gas sensor, targeting gases containing the corresponding quantity of component A. Note that in Figure 8, only five points (measurement results) are shown for explanatory purposes, but there may be six or more measurement results, or four or fewer.

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

[0130] Thus, the calculated value derived from component A based on gas sensor measurements and the amount of component A both have a linear correlation on a log scale. Therefore, the amount of component A can be calculated from calculated values ​​such as the peak value of the gas sensor. In other words, the amount of each gas can be calculated from the calculated values ​​based on the measurements of each of multiple gas sensors. By calculating the amount of gas for each component, the bio-information measurement system 1 can calculate the ratio relationship between the amount of health-related gas, which is the sum of the gas amounts of components corresponding to health-related gases, and the amount of odor-related gas, which is the sum of the gas amounts of components corresponding to odor-related gases.

[0131] <1-8-2. Examples of gas sensors and reactive components> Next, we will explain examples of gas sensors and reactants using Figure 9. Figure 9 is a diagram showing an example of a gas sensor and a reactant. The correspondence table TB11 in Figure 9 shows the correspondence between each gas sensor and the component that the gas sensor reacts with. In Figure 9, "○" indicates when the gas sensor reacts with that component, and "×" indicates when the gas sensor does not react with that component. As shown in the correspondence table TB11 in Figure 9, each gas sensor reacts with different components.

[0132] In Figure 9, the first gas sensor (hydrogen gas sensor) is a sensor that reacts only to hydrogen (H2). For example, gas sensor 40a is the first gas sensor (hydrogen gas sensor). For example, gas sensor 40a of the biological information measurement system 1 is a gas sensor that reacts only to hydrogen, that is, the resistance value of the sensor resistance RS in equation (1) changes depending on the amount of hydrogen.

[0133] In the case of a gas sensor that reacts only to hydrogen, as shown in Figure 9, the calculated value derived from hydrogen contained in the user's stool gas is given by the following equation (2).

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

[0135] In equation (2), "R s_1corresponds to the resistance value of the sensor resistance RS of the first gas sensor. For example, "R in formula (2) s_1 is the resistance value of the sensor resistance RS calculated from the measurement value of the first gas sensor.

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

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

[0138] "R in formula (2) s_1 " and "R in formula (2) air are calculated values based on the measurement by the first gas sensor, and are detected (acquired) by the measurement with the first gas sensor. Therefore, the biological information measurement system 1 calculates "R in formula (2) H2_1 by substituting the value obtained from the measurement by the first gas sensor into formula (2).

[0139] On the other hand, in FIG. 9, the second gas sensor (odorous gas sensor) is a sensor that reacts to odorous gases (such as H2S) but also reacts to hydrogen (H2). For example, the gas sensor 40b of the biological information measurement system 1 is the second gas sensor (odorous gas sensor). For example, the gas sensor 40b is a gas sensor that reacts to odorous gas and hydrogen, that is, the resistance value of the sensor resistance RS in formula (1) changes according to changes in the amount of odorous gas and the amount of hydrogen. In the present embodiment, the components of the detection units are adjusted respectively such that the detection unit used in the hydrogen gas sensor strongly reacts to hydrogen gas, and the detection unit used in the odorous gas sensor strongly reacts to odorous gas.

[0140] When the second gas sensor, as shown in Figure 9, reacts to odorous gases and hydrogen, the calculated value derived from the odorous gas contained in the user's fecal gas is given by the following equation (3).

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

[0142] In equation (3), "R s_2 " corresponds to the resistance value of the sensor resistance RS of the second gas sensor. For example, in equation (3) "R s_2 This value represents the resistance of the sensor resistance RS, calculated from the measurement value of the second gas sensor.

[0143] In equation (3), "R air " corresponds to the resistance value derived from the baseline in the second gas sensor. For example, "R" in equation (3) air This value represents the resistance value derived from the air inside the bowl section 8 before the user's defecation gas is released.

[0144] Also, in equation (3) "R H2_2 " corresponds to the resistance value derived from hydrogen gas in the second gas sensor. For example, "R" in equation (3) H2_2 This value represents the resistance derived from hydrogen contained in the fecal gas released by the user.

[0145] Also, in equation (3) "R H2S_2 " corresponds to the resistance value derived from the odorous gas in the second gas sensor. For example, "R" in equation (3) H2S_2 This value represents the resistance derived from odorous gases such as hydrogen sulfide contained in the fecal gas released by the user.

[0146] In equation (3), "R s_2 " and "R in equation (3) air " is a calculated value based on measurements at the second gas sensor, and is detected (acquired) by measurements at the second gas sensor, but equation (3) contains "R H2_2 " and "R H2S_2The two variables in equation (3) are undetermined. Therefore, the biological information measurement system 1 cannot be determined by equation (3) alone, as the "R" in equation (3) is undetermined. H2S_2 The value of "" cannot be determined. Therefore, the biological information measurement system 1 calculates (estimates) the amount of odorous gas using information from gas sensors other than the second gas sensor, but this point will be explained later.

[0147] Furthermore, in Figure 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 resistance RS in equation (1) changes depending on the amount of methane and hydrogen.

[0148] Furthermore, in Figure 9, the fourth gas sensor (carbon dioxide gas sensor) is a sensor that reacts only to carbon dioxide (CO2). For example, the CO2 sensor in 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 components. For example, the calculated value (reciprocal of the resistance value) of the second gas sensor is the sum of the baseline calculated value (reciprocal of the resistance value) and the calculated value (reciprocal of the resistance value) derived from the reacting components (odor gas + health-related gas). Therefore, the bio-information measurement system 1 derives the calculated values ​​derived from each component by a system of simultaneous equations with equations corresponding to multiple gas sensors. This point will be explained using Figure 10. Figure 10 shows an example of the calculation process for the amount of odor gas.

[0150] The set of functions FG11 in Figure 10 shows the correspondence between equations (2) to (6) used to calculate (estimate) the amount of odorous gas.

[0151] Equations (2) and (4) show the breakdown of the values ​​calculated by the first gas sensor (hydrogen gas sensor), and the relationship between the calculated values ​​and the gas volume. Note that equation (2) in Figure 10 is the same as equation (2) described above, and a detailed explanation is omitted.

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

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

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

[0155] In equation (4), "CE1" is "log(1 / R) H2_1 This is a coefficient related to ")", and any value such as "-0.4..." can be set. Also, "CS1" in equation (4) is "log(1 / R H2_1 )*CE1 is a constant that is added to "CE1", and any value such as "1.1..." can be set. For example, the administrator of the biological information measurement system 1 derives the coefficient "CE1" and the constant "CS1" included in equation (4) through actual measurements, etc., and sets equation (4).

[0156] Equations (3), (5), and (6) show the breakdown of the values ​​calculated by the second gas sensor (odor gas sensor) and the relationship between the calculated values ​​and the gas volume. Note that equation (3) in Figure 10 is the same as equation (3) described above, so a detailed explanation is omitted.

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

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

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

[0160] In equation (5), "CE2" is "log(1 / R) H2_2 This is a coefficient related to ")", and any value such as "-0.8..." can be set. Also, "CS2" in equation (5) is "log(1 / R H2_2 )*CE2 is a constant that is added to "CE2", and any value such as "2.0..." can be set. For example, the administrator of the biological information measurement system 1 derives the coefficient "CE2" and the constant "CS2" included in equation (5) through actual measurements, etc., and sets equation (5).

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

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

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

[0164] In equation (6), "CE3" is "log(1 / R) H2S_2 This is a coefficient related to ")", and any value such as "-0.7..." can be set. Also, "CS3" in equation (5) is "log(1 / R H2S_2)*CE3 is a constant that is added to "CE3", and any value such as "1.8..." can be set. For example, the administrator of the biological information measurement system 1 derives the coefficient "CE3" and the constant "CS3" included in equation (6) through actual measurements, etc., and sets equation (6).

[0165] From here, we will explain an example of the process by which the biological information measurement system 1 calculates (estimates) the amount of odorous gas using equations (2) to (6).

[0166] First, the biological information measurement system 1 uses equations (2) and (4) to determine the 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 obtained from the measurement at the gas sensor 40a (the "R" in equation (2)). s_1 The value of "" and "R air Using the value of "", equation (2) and equation (4), we find the value of "logH2 amount" in equation (4).

[0167] Then, the biological information measurement system 1 substitutes the value of "logH2 amount" in the obtained equation (4) into equation (5), and calculates "R" in equation (5). H2S_2 Find the value of ".

[0168] Then, the biological information measurement system 1 uses the "R" in the derived equation (5). H2S_2 Substitute the value of " into equation (3), and in equation (5) "R H2S_2 The value of "R" is determined. For example, the biological information measurement system 1 calculates the value of "R" in the obtained equation (5). H2S_2 The value of "R" obtained from the measurement with gas sensor 40b (in equation (3) s_2 The value of "" and "R air Substitute the value of "" into equation (3), and in equation (3) "R H2S_2 The value of "R" is determined. For example, the biological information measurement system 1 calculates the value of "R" in the obtained equation (3). H2S_2 Substitute the value of "" into equation (6) and 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 process is merely an example, and the biological information measurement system 1 may perform any process as long as it is possible to calculate (estimate) the amount of odorous gas.

[0170] <1-8-4. Challenges in calculating the amount of odorous gas> Next, we will explain the challenges in calculating the amount of odorous gas using measurements from the hydrogen gas sensor described above, using Figure 11. Figure 11 is a diagram illustrating the overview of the calculation of the amount of odorous gas.

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

[0172] For example, the first mixed value HV1 is "R" in equation (3). H2_2 This is the correct value (correct answer) corresponding to ". Also, for example, the second mixed value OV1 is the "R" in equation (3). H2S_2 This is the accurate value (correct answer) corresponding to ''. Note that in Figure 11, for explanatory purposes, the breakdown of the first mixed value HV1 and the second mixed value OV1 in the zeroth calculated value ZV1 is shown, but in reality, it is estimated based on the third calculated value which will be described later.

[0173] In Figure 11, measurement MS1 corresponds to the measurement at the first gas sensor (hydrogen gas sensor). For example, the waveform in measurement MS1 shows the sensor output (e.g., voltage value). In the odor gas calculation process, the first calculated value FV1 is calculated as the first calculated value corresponding to the hydrogen gas obtained based on the detection result at measurement MS1 of the first gas sensor (step S11). For example, the first calculated value FV1 is the "R" in equation (2). H2_1 This corresponds to the calculation value for the amount of hydrogen gas calculated from the measurement value of the first gas sensor. Note that the numbers such as step S11 are codes to distinguish and explain each process and do not indicate the order; for example, step S11 may be performed before step S10.

[0174] In the odor gas calculation process, the second calculated value SV1 is calculated based on the first calculated value FV1 as the second calculated value corresponding to the hydrogen gas of the second gas sensor (step S12). For example, the second calculated value SV1 is calculated as "R" in equation (3). H2_2 This is an estimated value corresponding to the first calculated value FV1. The second calculated value derived from the hydrogen gas contained in the second gas sensor is calculated from the first calculated value FV1. For example, if the processing unit 132 determines that the user's stool gas does not contain methane gas, it calculates the second calculated value SV1 corresponding to the hydrogen gas in the second gas sensor based on the first calculated value FV1.

[0175] In the odor gas calculation process, the third calculated value TV1 is calculated as the third calculated value corresponding to the odor gas based on the zero calculated value ZV1 and the second calculated value SV1 (step S13). The third calculated value TV1 is calculated as the third calculated value corresponding to the odor gas by subtracting the second calculated value SV1 from the zero calculated value ZV1. For example, the third calculated value TV1 is calculated as "R" in equation (3). H2S_2 This is an estimated value corresponding to . In the odor gas calculation process, the amount of odor gas is calculated (estimated) using the third calculated value TV1 obtained by the process described above, so the measurement variability in the first gas sensor affects the final calculation (estimate) of the amount of odor gas. Therefore, problems may arise in the odor gas calculation process in calculating the amount of odor gas.

[0176] From here, we will explain specific examples of challenges in calculating the amount of odorous gas using Figures 12 and 13. Figures 12 and 13 show examples of the impact of measurement variability of gas sensors on the calculation. Note that explanations of points similar to those explained in Figure 11, etc., will be omitted as appropriate.

[0177] First, using Figure 12, we will explain the problems that may arise even when a certain amount of odorous gas is present.

[0178] The zeroth calculated value ZV2 is the zeroth calculated value corresponding to hydrogen gas and odorous gas obtained based on the detection results from the measurement of the second gas sensor. In Figure 12, the zeroth calculated value ZV2 includes the first mixed value HV2, which corresponds to hydrogen gas, and the second mixed value OV2, which corresponds to odorous gas.

[0179] For example, the first mixed value HV2 is "R" in equation (3). H2_2 This is the exact value (correct answer) corresponding to ". Also, for example, the second mixed value OV2 is the "R" in equation (3). H2S_2 This is the accurate value (correct answer) corresponding to ''. Note that in Figure 12, for explanatory purposes, the breakdown of the first mixed value HV2 and the second mixed value OV2 in the zeroth calculated value ZV2 is shown, but in reality, it is estimated based on the third calculated value which will be described later.

[0180] The second calculated value SV2 in Figure 12 is calculated based on the first calculated value corresponding to the hydrogen gas obtained from the detection results of the first gas sensor measurement. The second calculated value SV2 is the second calculated value corresponding to the hydrogen gas from the second gas sensor. For example, the second calculated value SV2 is the "R" in equation (3). H2_2 This is an estimated value corresponding to ''.

[0181] Here, if there is measurement variation in the first gas sensor, that measurement variation will also be reflected in the second calculated value SV2. Figure 12 shows an example where 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 Figure 12 visualizes the ±20% measurement error in the second calculated value SV2, and the value of the second calculated value SV2 can fluctuate between the upper and lower limits of the measurement error ME2.

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

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

[0184] The third calculated value TV2 is calculated as the 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 the "R" in equation (3). H2S_2 This is an 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 Figure 12 visualizes the possible errors in the third calculated value TV2 due to the measurement error in the second calculated value SV2. If the measurement error in the second calculated value SV2 is ±20%, the value of the third calculated value TV2 can fluctuate between the upper and lower limits of the error range ER2.

[0186] The third calculated value, TV2, corresponds to the length to the upper end of the error range ER2, assuming a measurement error of -20% in the second calculated value, SV2. In this case, the third calculated value TV2 will be the largest value, indicating a higher estimated amount of odorous gas.

[0187] The third calculated value, TV2, corresponds to the length to the lower end of the error range ER2, assuming a measurement error of +20% in the second calculated value, SV2. In this case, the third calculated value TV2 is the smallest value, resulting in an underestimation of the amount of odorous gas.

[0188] Next, using Figure 13, we will explain the potential problems that may arise when the amount of hydrogen gas is large and the amount of odorous gas is small.

[0189] The zeroth calculated value ZV3 is the zeroth calculated value corresponding to hydrogen gas and odorous gas obtained based on the detection results from the measurement of the second gas sensor. In Figure 13, the zeroth calculated value ZV3 includes the first mixed value HV3, which corresponds to hydrogen gas, and the second mixed value OV3, which corresponds to odorous gas.

[0190] For example, the first mixed value HV3 is "R" in equation (3). H2_2 This is the exact value (correct answer) corresponding to ". Also, for example, the second mixed value OV3 is the "R" in equation (3). H2S_2 This is the accurate value (correct answer) corresponding to ''. Note that in Figure 13, for explanatory purposes, the breakdown of the first mixed value HV3 and the second mixed value OV3 in the zeroth calculated value ZV3 is shown, but in reality, it is estimated based on the third calculated value which will be described later.

[0191] The second calculated value SV3 in Figure 13 is calculated based on the first calculated value corresponding to the hydrogen gas obtained from the detection results of the first gas sensor measurement. The second calculated value SV3 is the second calculated value corresponding to the hydrogen gas from the second gas sensor. For example, the second calculated value SV3 is the "R" in equation (3). H2_2 This is an estimated value corresponding to ''.

[0192] Here, if there is measurement variation in the first gas sensor, that measurement variation will also be reflected in the second calculated value SV3. Figure 13 shows an example where 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 Figure 13 visualizes the ±20% measurement error in the second calculated value SV3, and the value of the second calculated value SV3 can fluctuate between the upper and lower limits of the measurement error ME3.

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

[0194] The second calculated value SV3 corresponds to the length to the lower end of the measurement error ME3 when the measurement error of the first gas sensor is at its maximum in the positive direction (e.g., measurement error +20%). In this case, the second calculated value SV3 will be the largest value, and the amount of hydrogen gas will be estimated to be large. In the example in Figure 13, because the amount of hydrogen gas is large and the amount of odorous gas is small, if 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 the 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 the "R" in equation (3). H2S_2 This is an 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 Figure 13 visualizes the possible errors in the third calculated value TV3 due to the measurement error in the second calculated value SV3. If the measurement error in the second calculated value SV3 is ±20%, the value of the third calculated value TV3 can fluctuate between the upper and lower limits of the error range ER3.

[0197] The third calculated value, TV3, corresponds to the length to the upper end of the error range ER3, assuming a measurement error of -20% in the second calculated value, SV3. In this case, the third calculated value, TV3, will be the largest value, indicating a higher estimated amount of odorous gas.

[0198] The third calculated value TV3 corresponds to the length to the lower end of the error range ER3, assuming a measurement error of +20% in the second calculated value SV3. In this case, the third calculated value TV3 may be greater than the second calculated value SV3, which is greater than the zeroth calculated value ZV3, potentially resulting in a value of 0 or less for the odorous gas.

[0199] Thus, if there is measurement variability in the first gas sensor, this variability affects the estimated amount of odorous gas. For example, in the case shown in Figure 13 above, the measurement variability of the hydrogen gas amount in the first gas sensor has a significant impact, and in some cases the calculated value derived from odorous gas may become 0 or less, making it impossible to calculate the score appropriately. In such cases, it is difficult to properly execute the processing based on gas measurement. Therefore, the biological information measurement system 1 solves the above problem by one of the following first, second, or third processes, and enables the proper execution of processing based on gas measurement.

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

[0201] This allows the biological information measurement system 1 to suppress the effects of measurement variability through multiple measurements. The configuration of the biological information measurement system 1 and examples of measurements when multiple measurements are performed in this manner are explained below.

[0202] <1-9-1. First Measurement Example> First, the first measurement example will be explained using Figure 14. Figure 14 is a diagram showing the first measurement example using a gas sensor. Specifically, Figure 14 is a diagram showing an overview of the first measurement example, which is a process using multiple data. In Figure 14, only a part of the configuration of the biological information measurement system 1 is shown in order to illustrate the image of the process. In Figure 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 odor gas sensor. Note that explanations of points that are the same as those described above will be omitted as appropriate.

[0203] In Figure 14, measurement MS11 corresponds to the measurement at gas sensor 40a. For example, line LN11 in measurement MS11 indicates the sensor output, which is the measured value (voltage value) of gas sensor 40a. The hatched area in measurement MS11 corresponds to one measurement process and shows the change in sensor output caused by one bowel movement and the simultaneous release of fecal gas or one flatulence. For example, the biological information measurement system 1 uses the maximum value (peak value) of one measurement process as the measured value (voltage value) to calculate the calculated value.

[0204] In the first measurement example, the biological information measurement system 1 acquires multiple data points from the gas sensor 40a regarding the fecal gas released during a single bowel movement or flatulence, and averages them. For example, the biological information measurement system 1 performs measurements with the gas sensor 40a multiple times, acquires multiple measurement values, and averages the multiple calculated values ​​obtained. For example, the biological information measurement system 1 averages the value obtained by averaging the corresponding calculated values ​​from multiple measurements with the gas sensor 40a, and uses the "R" in equation (2). H2_1 By using this value (also called the "determined value") as the value of "[ ]", a second calculated value is obtained.

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

[0206] <1-9-2. Second Measurement Example> Next, a second measurement example will be explained using Figure 15. Figure 15 is a diagram illustrating a second measurement example using a gas sensor. Specifically, Figure 15 is a diagram illustrating an overview of a second measurement example performed by a biological information measurement system 1 having a specific configuration for acquiring multiple data points. Note that explanations of points similar to those described above will be omitted as appropriate.

[0207] In Figure 15, the biological information measurement 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 that sealed space. In Figure 15, the sealing means 50 is positioned between the gas detection device 20 and the suction device 10. That is, the sealing means 50 is positioned in the flow path between the gas detection device 20 and the suction device 10. The sealing means 50 retains the gas sucked in by the suction device 10 in a sealed space. For example, the sealing means 50 has a storage section for storing the gas sucked in by the suction device 10. The storage section has a sealed space inside, and is capable of storing gas in that sealed space.

[0208] In the second measurement example, the biological information measurement system 1 stores the fecal gas in the sealing means 50 for multiple measurements. In this case, the biological information measurement system 1 measures the stored gas multiple times using a gas-retaining mechanism such as the sealing means 50. For example, if the biological information measurement system 1 detects an output above a predetermined value with the gas sensor, it closes a shut-off valve (not shown). Then, the biological information measurement system 1 stops the suction device 10 and stores the gas in the storage unit. Finally, the biological information measurement system 1 brings the stored gas into contact with the gas sensor 40a.

[0209] In Figure 15, measurement MS12 corresponds to the measurement at gas sensor 40a. For example, line LN12 in measurement MS12 indicates the sensor output, which is the measured value (voltage value) of gas sensor 40a. The hatched area in measurement MS12 corresponds to one measurement process and shows the change in sensor output caused by one bowel movement and the simultaneous release of fecal gas or one flatulence. For example, the biological information measurement system 1 uses the maximum value (peak value) of one measurement process as the measured value (voltage value) to calculate the calculated value.

[0210] In the second measurement example, the biological information measurement system 1 retains the fecal gas within the flow path (sealing means 50, etc.), then obtains multiple calculated values ​​by taking multiple measurements with the gas sensor 40a, which is a hydrogen gas sensor, and averages them.

[0211] Thus, the biological information measurement 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 using 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 using the gas sensor 40a. Specifically, the biological information measurement 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 retain the fecal gas within the flow path, allowing it to measure the fecal gas multiple times with the hydrogen gas sensor, and the influence of sensor measurement variability can be reduced by averaging multiple signals. The processing after calculating the second value is the same as in the first measurement example, so a detailed explanation is omitted.

[0213] <1-9-3. Third Measurement Example> Next, a third measurement example will be explained using Figure 16. Figure 16 is a diagram illustrating a third measurement example using a gas sensor. Specifically, Figure 16 is a diagram illustrating an overview of a third measurement example performed by a biological information measurement system 1 in which a gas detection device 20 is placed inside a sealing means 50. Points that are the same as those described above will be omitted as appropriate.

[0214] In Figure 16, the biological information measurement system 1 has a sealing means 50. In Figure 16, the sealing means 50 houses the gas detection device 20. In the third measurement example, the biological information measurement system 1 has the gas detection device 20 placed inside the sealing means 50. The sealing means 50 has a flow path that can be switched to a closed flow path by an opening / closing means (e.g., a switching valve), but this point will be described later.

[0215] In the third measurement example, the bio-information measurement system 1 measures the gas contained within the sealing means 50 multiple times using the gas detection device 20 located within the sealing means 50. In this case, the bio-information measurement system 1 acquires data multiple times once the gas has filled the sensor surface and the sensor output has stabilized.

[0216] In Figure 16, measurement MS13 corresponds to the measurement at the gas sensor 40a. For example, line LN13 in measurement MS13 indicates the sensor output, which is the measured 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) peaked (maximum) due to the gas contained within the sealing means 50. For example, the biological information measurement system 1 performs measurement processing multiple times (three times, indicated by dotted circles in Figure 16) in the section where the sensor output (power value) peaked (maximum), and calculates a calculated value corresponding to each measurement processing.

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

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

[0219] As a result, the bio-information measurement system 1 can acquire a signal with a stable sensor output by continuously contacting the excrement gas with the hydrogen gas sensor, and further reduces the influence of measurement variability of the gas sensor by averaging the results. The processing after calculating the second value is the same as in the first measurement example, so a detailed explanation is omitted.

[0220] <1-9-4. Fourth Measurement Example> Next, a fourth measurement example will be described using Figure 17. Figure 17 is a diagram showing a fourth measurement example using a gas sensor. Figure 17 is a diagram showing an overview of a fourth measurement example performed by a biological information measurement system 1 having the same configuration as the second measurement example shown in Figure 15. Specifically, Figure 17 is a diagram showing a fourth measurement example in which the gas retained in the flow path between the gas detection device 20 and the suction device 10 by the sealing means 50 is measured. Note that explanations of points that are the same as those described above will be omitted as appropriate.

[0221] The configuration of the biological information measurement system 1 in the fourth measurement example is the same as that in the second measurement example, so illustrations and detailed explanations are omitted.

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

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

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

[0225] As a result, the bio-information measurement system 1 can acquire multiple first-order values ​​by repeatedly measuring the retained fecal gas with a hydrogen gas sensor and then averaging them to reduce the impact of measurement errors. The processing after calculating the second-order value is the same as in the first measurement example, so a detailed explanation is omitted.

[0226] <1-9-5. Fifth Measurement Example> Next, the fifth measurement example will be explained using Figure 18. Figure 18 is a diagram showing the fifth measurement example using a gas sensor. Specifically, Figure 18 is a diagram showing an overview of the fifth measurement example performed by the biological information measurement system 1, which is equipped with a gas detection device 20 (referred to as "gas detection device 20A") having a third gas sensor, gas sensor 40c. Note that explanations of points that are the same as those described above will be omitted as appropriate.

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

[0228] In the fifth measurement example, the biological information measurement system 1 acquires values ​​(e.g., calculated values) indicating the amount and concentration of hydrogen gas from the hydrogen gas sensor 40a and the third gas sensor 40c, and averages them.

[0229] The biological information measurement system 1 calculates a value corresponding to hydrogen gas (also called the "fourth calculated value") based on the detection results of the gas sensor 40c. For example, the biological information measurement system 1 uses equation (1) to calculate the fourth calculated value corresponding to hydrogen gas from the measured 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] In Figure 18, measurement MS15 corresponds to measurements at gas sensors 40a and 40c. For example, line LN151 in measurement MS15 indicates the sensor output, which is the measured value (voltage value) of gas sensor 40a. For example, line LN152 in measurement MS15 indicates the sensor output, which is the measured value (voltage value) of 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 line LN151 in Figure 18, reaches its peak (maximum), and calculates a first calculated 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 line LN152 in Figure 18, reaches its peak (maximum), and calculates a fourth calculated 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 measurement system 1 calculates a second calculated value using a first calculated value based on the measurement of gas sensor 40a and a fourth calculated value based on the measurement of gas sensor 40c.

[0233] Thus, the biological information measurement system 1 calculates a second calculated value, which is a statistical value obtained using multiple calculated values ​​measured by multiple gas sensors 40, namely gas sensors 40a and gas sensors 40c. The second calculated value is obtained from the statistical value of multiple calculated values ​​measured by multiple gas sensors 40.

[0234] As a result, the bio-information measurement system 1 calculates a value indicating the amount of hydrogen gas (e.g., a calculated value) from multiple gas sensors and averages it, thereby reducing individual differences and enabling the calculation of a more accurate amount of hydrogen gas. The processing after calculating the second calculated value is the same as in the first measurement example, so a detailed explanation is omitted.

[0235] <1-9-6. Sixth Measurement Example> Next, we will describe the sixth measurement example. The biological information measurement system 1 in the sixth measurement example differs from the biological information measurement system 1 in the fifth measurement example in that the gas detection device 20A has a gas sensor 40c, which is a third gas sensor, and is of a different type from the hydrogen gas sensor. Note that explanations of points that are the same as those described above will be omitted as appropriate.

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

[0237] Here, few people possess methane-producing bacteria, and therefore a small percentage of people have methane gas in their fecal gas. For example, in the case of a person who does 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, the bio-information measurement system 1 uses the gas sensor 40c as a methane gas measurement sensor when the person being measured is someone who emits methane gas. If the bio-information measurement system 1 determines that the user's stool gas contains methane gas, it uses the gas sensor 40c as a sensor for detecting methane gas.

[0239] On the other hand, if the person being measured does not produce methane gas, the biometric information measurement system 1 uses the gas sensor 40c as a hydrogen gas measurement sensor. If the biometric information measurement system 1 determines that the user's stool 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 that gas sensor is not being used for the purposes of this laboratory, the bio-information measurement system 1 can further improve the measurement accuracy of the hydrogen gas sensor by repurposing it 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-described 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 for odorous gases except that the equation used is different, so a detailed description thereof will be omitted.

[0242] <1-9-7.7th Measurement Example> Next, the seventh measurement example will be described with reference to FIG. 19. FIG. 19 is a diagram showing the seventh measurement example using a gas sensor. FIG. 19 is a diagram outlining the seventh measurement example executed by the biological information measurement system 1 having the same configuration as any one of the first to sixth measurement examples described above. For example, the seventh measurement example is executed by the biological information measurement system 1 having the configuration of the second measurement example shown in FIG. 15. Note that descriptions of points that are the same as those described above will be omitted as appropriate.

[0243] Measurement MS16 in FIG. 19 corresponds to measurements performed by the gas sensors 40a and 40b. For example, a line LN161 in the measurement MS16 indicates a sensor output that is a measurement value (voltage value) of the gas sensor 40a. For example, a line LN162 in the measurement MS16 indicates a sensor output that is a measurement value (voltage value) of the 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 with a peak value as 100% and a value before defecation as 0%.

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

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

[0246] In FIG. 19, the biological information measurement system 1 uses, for a plurality of gas sensors 40, values of gas sensors having the same reactivity timing with respect to defecation gas as a set. For example, the biological information measurement system 1 uses the measurement value TM11 of the gas sensor 40a and the measurement value TM21 of the gas sensor 40b, both having the same first degree of reactivity, as one set.

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

[0248] Furthermore, the biological information measurement system 1 uses the measured values ​​TM12 from gas sensor 40a and TM22 from gas sensor 40b, both of which have the same reactivity level (grade 2), as a set. In this case, the biological information measurement system 1 calculates a first calculated value FV72 and a third calculated value TV72 based on the measured 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 calculated value FV72 and third calculated value TV72. The biological information measurement system 1 then calculates a primary score (referred to as "primary score TS2") by determining the ratio of the calculated hydrogen gas amount VL12 to the odorous gas amount VL22.

[0249] Furthermore, the biological information measurement system 1 uses the measured values ​​TM13 from gas sensor 40a and TM23 from gas sensor 40b, which have the same reactivity level of 3rd degree (peak value), as a set. In this case, the biological information measurement system 1 calculates a first calculated value FV73 and a third calculated value TV73 based on the measured 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 calculated value FV72 and third calculated value TV72. The biological information measurement system 1 then calculates a primary score (referred to as "primary score TS3") by determining the ratio of the calculated hydrogen gas amount VL13 to the odorous gas amount VL23.

[0250] As a result, the biological information measurement system 1 acquires multiple ratios of values ​​based on the hydrogen gas sensor measurement and the odor gas sensor measurement. The biological information measurement system 1 then calculates a score by averaging the acquired ratios (e.g., primary scores). In Figure 19, the biological information measurement system 1 calculates the score as the average of primary score TS1, primary score TS2, and primary score TS3.

[0251] As described above, in the seventh measurement example, the bio-information measurement system 1 acquires multiple values ​​based on measurements from the hydrogen gas sensor and the odor gas sensor at the same time, calculates them as a ratio, and then averages them. The bio-information measurement system 1 estimates the user's health status or information related to their health status using a first calculated value corresponding to the hydrogen gas obtained based on the detection result of the first gas sensor, and a score calculated based on the third calculated value. The bio-information measurement system 1 calculates a score based on the ratio of the value based on the first calculated value (e.g., the amount of hydrogen gas) and the value based on the third calculated value (the amount of odor gas) corresponding to detection at common timings in the user's defecation.

[0252] In this way, the bio-information measurement system 1 acquires hydrogen-derived values ​​and odor gas-derived values ​​at the same time during a single defecation. The bio-information measurement system 1 calculates the ratio of the value based on the first calculated value (e.g., amount of hydrogen gas) and the value based on the third calculated value (amount of odor gas) by averaging the ratio of the values ​​based on the first calculated value and the values ​​based on the third calculated value. In this way, the bio-information measurement system 1 calculates a statistical value of the ratio of the values ​​based on multiple calculated values ​​as a score.

[0253] The variability in the score (e.g., ratio of quantities) is largely influenced by the variability caused by the hydrogen gas sensor. Therefore, the bio-information measurement system 1 can reduce the variability originating from the hydrogen gas sensor by averaging the score (e.g., ratio of quantities).

[0254] <1-9-8. Configuration and Control Examples> From here, we will describe an example of the configuration and control of the measurement example described above. Note that the configuration and control of the biological information measurement system 1 described below is merely an example, and any configuration and control can be adopted for the biological information measurement system 1 as long as it is possible to perform the measurements described above.

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

[0256] The apparatus configuration CN11 shown in Figure 20 illustrates an example of the apparatus configuration of the biological information measurement system 1 that performs the third measurement example. Figure 20 is intended to show an image of the configuration and control, and apparatus configuration CN11 illustrates only a part of the configuration of the biological information measurement system 1 that performs the third measurement example. For example, the suction mechanism of apparatus configuration CN11 corresponds to the suction device 10, the discharge section corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the switching valve, flow path #1, flow path #2, storage section, and shut-off valve are configurations of the sealing means 50.

[0257] In Figure 20, the biological information measurement 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 section flows in the direction of flow path #1. The biological information measurement system 1 draws gas from the bowl section using the suction mechanism (step S31). When the biological information measurement system 1 detects a sensor output value (e.g., voltage value) above a predetermined value, it closes the shut-off valve (step S32).

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

[0259] As shown in Figure 20, the biological information measurement system 1 performs measurements using sensors with the shut-off valve closed and the gas 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 using Figures 21 to 23. Figures 21 and 23 show examples of the configuration and control corresponding to the fourth measurement example. Explanations of points that are the same as those described above will be omitted as appropriate.

[0261] Using Figure 21, the configuration and control for circulating gas and performing multiple measurements will be explained. The apparatus configuration CN12 shown in Figure 21 is an example of the apparatus configuration of the biological information measurement system 1 that performs the fourth measurement example. Figure 21 is for illustrating the image of the configuration and control, and apparatus configuration CN12 illustrates only a part of the configuration of the biological information measurement system 1 that performs the fourth measurement example. For example, the first suction mechanism of apparatus configuration CN12 corresponds to the suction device 10, the discharge section corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the first switching valve, flow path #1, flow path #2, second suction mechanism, second switching valve, flow path #3, and flow path #4 are configurations of the sealing means 50. For example, the second suction mechanism is a device that has the same function as the suction device 10 and can perform suction in a desired direction.

[0262] In Figure 21, the biological information measurement system 1 executes the processes shown in steps S41 to S44. Before step S41, the first switching valve is set so that the gas in the bowl section 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 measurement system 1 sucks gas from the bowl section with the first suction mechanism (step S41). When the biological information measurement system 1 detects a sensor output value (e.g., voltage value) above a predetermined value, it switches the first switching valve to the direction of flow path #2 (the side that flows directly to the discharge section) and switches the second switching valve to the direction of flow path #4 (the side that circulates within the sealing means 50) (step S42).

[0263] The biological information measurement system 1 activates the second suction mechanism and measures gas multiple times (step S43). After measuring sensor outputs multiple times with the sensor, the biological information measurement system 1 resets the first switching valve and the second switching valve (step S44). In FIG. 21, the biological information measurement system 1 switches the first switching valve such that the gas in the bowl portion flows in the direction of flow path #1, and switches the second switching valve such that the gas flows in the direction of flow path #3.

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

[0265] The configuration and control for performing multiple measurements by discharging small portions of stored gas will be described with reference to FIG. 22. An apparatus configuration CN13 shown in FIG. 22 is an example of the apparatus configuration of the biological information measurement system 1 that implements a fourth measurement example. FIG. 22 is provided to show an overview of the configuration and control, and the apparatus configuration CN13 illustrates only a part of the configuration of the biological information measurement system 1 that implements the fourth measurement example. For example, the first suction mechanism of the apparatus configuration CN13 corresponds to the suction device 10, the discharge portion corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Further, for example, the switching valve, flow path #1, flow path #2, storage portion, closing valve, and second suction mechanism are components included in the sealing means 50.

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

[0267] After a predetermined time has elapsed, the biological information measurement system 1 switches the switching valve to the direction of flow path #2 (the side that flows directly to the discharge section) to retain the gas in the storage section (step S53). The biological information measurement system 1 controls the opening and closing of the second suction mechanism and the shut-off valve to allow gas to flow to the sensor (step S54). In this case, while the biological information measurement system 1 is measuring the gas with the sensor, for example, it opens the shut-off valve and activates the second suction mechanism, thereby discharging a portion of the gas in the storage section through the sensor to the discharge section. Also, while the biological information measurement system 1 has stopped measuring the gas with the sensor, for example, it closes the shut-off valve and stops the second suction mechanism, thereby stopping the discharge of gas from the storage section to the discharge section.

[0268] As shown in Figure 22, the biological information measurement system 1 retains gas in the storage unit and periodically flows a predetermined amount of gas to the sensor.

[0269] Using Figure 23, the configuration and control for multiple measurements by returning the gas that was measured once will be explained. The apparatus configuration CN14 shown in Figure 23 is an example of the apparatus configuration of the biological information measurement system 1 that performs the fourth measurement example. Figure 23 is for illustrating the image of the configuration and control, and apparatus configuration CN14 illustrates only a part of the configuration of the biological information measurement system 1 that performs the fourth measurement example. For example, the first suction mechanism of apparatus configuration CN14 corresponds to the suction device 10, the discharge section corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the switching valve, flow path #1, flow path #2, storage section, shut-off valve and second suction mechanism are configurations of the sealing means 50.

[0270] In Figure 23, the biological information measurement 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 section flows in the direction of flow path #1. The biological information measurement system 1 draws gas from the bowl section with the first suction mechanism (step S61). When the biological information measurement system 1 detects a sensor output value (e.g., voltage value) that is greater than a predetermined value, it closes the shut-off valve (step S62).

[0271] After a predetermined time has elapsed, the biological information measurement 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 measurement system 1 activates the second suction mechanism to return the gas that has been measured once back to the sensor (step S64). Note that 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 measurement system 1 opens the shut-off valve and controls the switching valve to discharge the gas (step S65).

[0272] As shown in Figure 23, the biological information measurement system 1 retains the gas in the storage unit and returns the measured gas to the sensor using the second suction mechanism.

[0273] <1-10. Second Processing (Correction)> In addition to the first process described above, the biological information measurement system 1 may suppress the effects of measurement variability by any method. For example, in order to suppress the effects of measurement variability on the gas sensor, the biological information measurement system 1 performs a second process in which it corrects the value when the measured value or the like meets predetermined conditions. In the second process, the biological information measurement system 1 performs a correction if it meets predetermined conditions that the odorous gas may not have been estimated correctly. Specifically, if the biological information measurement system 1 finds that the odorous gas may not have been estimated correctly, it performs a correction on at least one of the zeroth calculated value, the second calculated value, or the third calculated value described above.

[0274] As a result, the biological information measurement system 1 can suppress the influence of measurement variability through correction. This point will be explained below. Note that explanations similar to those given in the first processing section will be omitted as appropriate.

[0275] <1-10-1. First Correction> First, we will explain an example in which the biological information measurement system 1 corrects the zeroth calculated value or the second calculated value as the first correction.

[0276] For example, the biological information measurement system 1 performs a first correction if predetermined conditions are met. The biological information measurement system 1 performs the first correction if the first calculated value or the second calculated value exceeds the first threshold, or if the third calculated value falls below the second threshold which is smaller than the first threshold. In this case, the biological information measurement system 1 performs the first correction if it satisfies at least one of the correction conditions, which include the first condition that the first calculated value or the second calculated value exceeds the first threshold, and the second condition that the third calculated value falls below the second threshold which is smaller than the first threshold. The first threshold and the second threshold are set to arbitrary values ​​depending on the gas sensor 40, etc. For example, the first threshold and the second threshold may be set for each biological information measurement system 1 in which the gas sensor 40 is introduced (i.e., for each device), or they may be values ​​set commonly.

[0277] For example, the biological information measurement system 1 performs a correction that reduces the second calculated value if at least one of the correction conditions is met. The biological information measurement system 1 performs a first correction by multiplying the second calculated value from the first calculated value by a correction coefficient less than 1. In this case, the biological information measurement system 1 may perform either correction pattern #1 or correction pattern #2.

[0278] When correction pattern #1 is executed, the biological information measurement system 1 corrects the first calculated value by multiplying it by a correction coefficient (for example, a value less than 1) if at least one of the correction conditions is met. In this case, the biological information measurement system 1 calculates the second calculated value using the corrected first calculated value.

[0279] Furthermore, when correction pattern #2 is executed, the biological information measurement system 1 corrects the second calculated value by multiplying it by a correction coefficient (for example, a value less than 1) if at least one of the correction conditions is met. In this case, the biological information measurement system 1 calculates a third calculated value using the corrected second calculated value.

[0280] The above-mentioned correction is merely an example, and the biological information measurement system 1 may perform a correction that increases the zeroth calculated value, not just a correction that decreases the second calculated value. Furthermore, the biological information measurement system 1 may perform the first correction when the second calculated value exceeds the zeroth calculated value. In this case, a third condition, that the second calculated value exceeds the zeroth calculated value, may be included in the correction conditions.

[0281] Thus, in the first correction, the other values ​​used in calculating the third calculated value, which indicates the amount of odorous gas, are used as the target for correction. As a result, the biological information measurement system 1 can appropriately correct the third calculated value, which is calculated based on the other values, and can appropriately calculate (estimate) the amount of odorous gas. Therefore, the biological information measurement system 1 can appropriately perform processing based on gas measurement.

[0282] <1-10-2. Second Correction> Furthermore, the biological information measurement system 1 may perform a second correction that corrects the third calculated value, not limited to the first correction. In this case, the biological information measurement system 1 has a correction value that is set in advance as a value corresponding to the odorous gas, and if the third calculated value falls below the third threshold, it replaces the third calculated value with the correction value as a correction.

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

[0284] Furthermore, 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 it may be the minimum value calculated based on data on the amount of gas emitted from a person.

[0285] Thus, in the second correction, the third calculated value, which represents the amount of odorous gas, is itself the target of the correction. As a result, the biological information measurement system 1 can appropriately correct the third calculated value and appropriately calculate (estimate) the amount of odorous gas. Therefore, the biological information measurement system 1 can appropriately perform processing based on gas measurement.

[0286] <1-11. Third process (Information modification)> In addition to the first and second processes described above, the bio-information measurement system 1 may suppress the effects of measurement variability by any method. For example, the bio-information measurement system 1 performs a third process to modify the output information in order to suppress the effects of measurement variability on the gas sensor. In the third process, the bio-information measurement system 1 modifies the information and outputs and displays it if it meets the conditions (also called the "modification conditions") under which the ratio of health-related gases to odorous gases may be incorrect. Specifically, if at least one of the first calculated value, the second calculated value, or the third calculated value satisfies the modification conditions, the bio-information measurement system 1 performs control to modify the first information, which is the user's health status or information related to the health status, output by the output means.

[0287] As a result, the biological information measurement system 1 can suppress the effects of measurement variability by changing the information provided to the user. This point will be explained below. Note that explanations similar to those given in the first and second processes will be omitted as appropriate.

[0288] <1-11-1. First Amendment> First, let's explain the first change. The biological information measurement system 1 performs a first change, which changes the value included in the first information to a preset value, if the change conditions are met. The biological information measurement system 1 performs the first change if the first calculated value or the second calculated value exceeds the first threshold, or if the third calculated value falls below the second threshold which is smaller than the first threshold. In this case, the biological information measurement system 1 performs the first change if it satisfies at least one of the change conditions, which include the first condition that the first calculated value or the second calculated value exceeds the first threshold, and the second condition that the third calculated value falls below the second threshold which is smaller than the first threshold.

[0289] The biometric information measurement system 1 performs a first change as shown in Figure 24. Figure 24 is a diagram showing the first change in information by the biometric information measurement system. Content CT11 in Figure 24 is information showing the change over time of the score based on the measurement of the user's stool gas.

[0290] The score SC1 in content CT11 indicates the score before the change, based on the measurement taken at the corresponding date and time (also called the "target measurement"). The biometric information measurement system 1 performs the first change if any of the values ​​in the target measurement meet at least one of the change conditions. The biometric information measurement system 1 performs the first change if it determines that the value in the target measurement meets the change conditions.

[0291] In Figure 24, the biological information measurement system 1 determines that the value in the target measurement meets the change conditions and changes the score SC1, which is the original data in content CT11. For example, the biological information measurement system 1 changes the score SC1 to a modified score CS1 of a predetermined value. The modified score CS1 may be set to any value, but this will be discussed later. In Figure 24, by changing the score SC1 to the modified score CS1, the biological information measurement system 1 can make the score corresponding to the target measurement a value close to the average (such as a moving average showing the trend of change over time) shown by the dotted line.

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

[0293] The display means 300 used by user X, which receives information including the modified score CS1 output by the biological information measurement system 1, displays the information as shown in Figure 25. Figure 25 is a diagram showing an example of the display of modified information by the biological information measurement system. As shown in Figure 25, the display means 300 used by user X displays content CC11 which includes the modified score CS1, in which the original data score SC1 has been changed. In this way, the display means 300 used by user X does not display the original data score SC1, which is presumed to have been greatly affected by measurement variability, but instead displays the modified score CS1, which is presumed to be more appropriate than 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 measurement system 1 can suppress the effects of measurement variability by changing the information provided to the user through the first modification. Therefore, the biological information measurement system 1 can appropriately perform processing based on gas measurement.

[0295] Note that the modified information, such as the value of the modified score CS1, may be set using arbitrary information. An example of this will be explained using Figure 26. Figure 26 is a diagram showing an example of score correction by a biological information measurement system. In Figure 26, the modified information may be determined using hydrogen amount distribution information DD11, which shows the distribution of hydrogen amount emitted from a person, and odorous gas amount distribution information DD12, which shows the distribution of odorous gas amount emitted from a person.

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

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

[0298] <1-11-2. Second Change> Furthermore, the biometric information measurement system 1 may make changes using any information, not just the first change. For example, the biometric information measurement system 1 may perform a second change, which modifies the information using the past information of the target user. In this case, the biometric information measurement system 1 stores the first information output based on past measurements in the storage unit 120. Specifically, the biometric information measurement system 1 stores historical information, including a score calculated based on past measurements, in the storage unit 120.

[0299] The biological information measurement system 1 performs a second modification to change the information based on a score calculated based on past measurements stored in the memory unit 120. The biological information measurement system 1 performs the second modification if at least one of the modification conditions is met.

[0300] The biometric information measurement system 1 performs a second modification as shown in Figure 27. Figure 27 is a diagram showing the second modification of information by the biometric information measurement system. Content CT12 in Figure 27 is information showing the change over time of the score based on the measurement of the user's stool gas.

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

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

[0303] As a result, the biometric information measurement system 1 can modify the information to align with the past trends of the user (user X) who was the subject of the measurement, by changing the information based on the past trends of the user X. For example, scores PS1 and PS2 will remain as they are in the original data if the modification conditions are not met. For example, the biometric information measurement system 1 will output unmodified (uncorrected) scores for data such as scores PS1 and PS2 that have not been modified.

[0304] The biological information measurement system 1 outputs information including the modified score CS2, which is the original data score SC2. The biological information measurement system 1 outputs (transmits) the information including the modified score CS2, which is the original data score SC2, to the display means 300, which is a user terminal used by the user (user X) who was the subject of the measurement. The details of the information display are the same as those explained in Figure 25, so a detailed explanation is omitted.

[0305] As described above, the biological information measurement system 1 can suppress the effects of measurement variability by changing the information provided to the user through the second modification. Therefore, the biological information measurement system 1 can appropriately perform processing based on gas measurement.

[0306] In this way, the biometric information measurement system 1 corrects the displayed information by referring to past data. The biometric information measurement system 1 refers to data from multiple past measurements and displays the average value. The biometric information measurement system 1 refers to data from multiple past measurements and displays the average value, weighting the data closest to the present. Note that the biometric information measurement system 1 is not limited to using the average value of the two most recent data points as described above, but may use any information. For example, the biometric information measurement system 1 may use a weighted average of the three or more most recent data points. In this case, the biometric information measurement system 1 may use a weighted average in which the data points closest in time are given greater weight. Furthermore, when calculating the average value, the biometric information measurement system 1 does not need to use information that has been changed in the past (the changed score).

[0307] <1-11-3. Third Change> Furthermore, the biometric information measurement system 1 may make changes using any information, not limited to the first and second changes. For example, the biometric information measurement system 1 may perform a third change, which involves changing the information using information to be notified to the user. In this case, the biometric information measurement system 1 will output second information regarding measurement accuracy if predetermined conditions are met. The biometric information measurement system 1 will output third information regarding measurement errors if predetermined conditions are met.

[0308] The biometric information measurement system 1 performs a third change if at least one of the change conditions is met. The biometric information measurement system 1 performs the third change as shown in Figure 28. Figure 28 is a diagram showing the third change of information by the biometric information measurement system. Content CT13 in Figure 28 is information showing the change over time of the score based on the measurement of the user's stool gas.

[0309] The score SC3 in content CT13 indicates the score before the change, based on the measurement (target measurement) at the corresponding date and time. The biological information measurement system 1 performs the third change if any of the values ​​in the target measurement meet at least one of the change conditions. The biological information measurement system 1 performs the third change if it determines that the value in the target measurement meets the change conditions.

[0310] In Figure 28, the biological information measurement system 1 determines that the value in the target measurement meets the change condition and adds information INF1 to content CT13. For example, if the biological information measurement system 1 determines that the value in the target measurement meets the change condition, it adds second information to content CT13 indicating that attention is needed regarding the value calculated from that target measurement. The biological information measurement system 1 adds information INF1 to content CT13 that includes information indicating that the measurement accuracy may be poor. The biological information measurement system 1 adds information INF1 to content CT13 that includes third information indicating that there may be a measurement error.

[0311] The biological information measurement system 1 outputs content CT13 to which information INF1, which includes second information regarding measurement accuracy and third information regarding measurement errors, has been added. The biological information measurement system 1 outputs (transmits) content CT13 to the display means 300, which is a user terminal used by the user (user X) who was the subject of the target measurement, to which information INF1, which notifies the user of the possibility of a problem in measuring the score SC3 of the target measurement, has been added. Note that the display of information is the same as described in Figure 25, so a detailed explanation is omitted.

[0312] As described above, the biological information measurement system 1 can suppress the effects of measurement variability by changing the information provided to the user through the third modification. Therefore, the biological information measurement system 1 can appropriately perform processing based on gas measurement.

[0313] Furthermore, the biological information measurement system 1 may also perform the third modification if it meets conditions other than those described above. For example, the biological information measurement system 1 may perform the third modification by adding information INF1 to content CT13 to notify that there is a possibility that the measurement could not be performed correctly, such as when the measurement itself was difficult.

[0314] Furthermore, the embodiments and modifications described above can be combined as appropriate, provided that the processing content is not inconsistent.

[0315] Further effects and modifications can be readily derived by those skilled in the art. Therefore, broader aspects of the present invention are not limited to the specific details and representative embodiments expressed and described above. Accordingly, various modifications are possible without departing from the spirit or scope of the overall concept of the invention as defined by the appended claims and their equivalents.

[0316] The embodiments and modifications described above may also have the following configurations, but are not limited to them. (1) A biometric information measurement system that measures the biometric information of a user of a toilet room based on the fecal gas discharged into the bowl of a toilet installed in the toilet room, A gas detection device comprising 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 sulfur components and hydrogen gas, A control device for controlling the gas detection device, An output means for outputting information regarding the processing results by the control device, It has, The control device is Based on the detection result of the first gas sensor, a first calculated value corresponding to hydrogen gas is calculated. Based on the first calculated value, a second calculated value corresponding to the hydrogen gas of the second gas sensor is calculated. Based on the detection result of the second gas sensor and the second calculated value, a third calculated value corresponding to the odorous gas is calculated. The biometric information measurement system estimates the user's health status or information related to the health status based on the third calculated value, The control device is If 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 user's health status or information relating to the health status, output by the output means, without relying on the third calculated value. A biological information measurement system characterized by the following features. (2) The predetermined conditions include at least one of the following: the first calculated value or the second calculated value is greater than the first threshold, or the third calculated value is less than the second threshold which is less than the first threshold. The biological information measurement system according to (1), characterized in that (3) The predetermined conditions include the second calculated value being greater than the zero calculated value corresponding to the odorous gas and hydrogen gas, which is calculated based on the detection results of the second gas sensor. A biological information measurement system according to (1) or (2), characterized in that it is the same as described in (1) or (2). (4) The control device is If the aforementioned predetermined conditions are met, the value included in the first information is changed to a pre-set value. A biological information measurement system according to any one of (1) to (3), characterized by the above. (5) It has a memory means for storing past first information, The control device is The first information is modified based on the past first information stored in the storage means. A biological information measurement system according to any one of (1) to (4), characterized by the above. (6) The output means is If the aforementioned predetermined conditions are met, second information regarding measurement accuracy will be output. A biological information measurement system according to any one of (1) to (5), characterized by the above. (7) The output means is If the aforementioned predetermined conditions are met, a third piece of information regarding measurement errors will be output. A biological information measurement system according to any one of (1) to (6), characterized by the above. (8) A toilet seat device that measures the biometric information of a user of a toilet room based on the fecal gas discharged into the bowl of a toilet installed in the toilet room, A gas detection device comprising 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 sulfur components and hydrogen gas, A control device for controlling the gas detection device, An output means for outputting information regarding the processing results by the control device, It has, The control device is Based on the detection result of the first gas sensor, a first calculated value corresponding to hydrogen gas is calculated. Based on the first calculated value, a second calculated value corresponding to the hydrogen gas of the second gas sensor is calculated. Based on the detection result of the second gas sensor and the second calculated value, a third calculated value corresponding to the odorous gas is calculated. The toilet seat device estimates the user's health condition or information relating to the health condition based on the third calculated value, The control device is If 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 user's health status or information relating to the health status, output by the output means, without relying on the third calculated value. A toilet seat device characterized by the following features. [Explanation of Symbols]

[0317] 1. Biological Information Measurement System 2 Toilet seat device 3. Main body 4. Measuring device 5 Toilet Seat 6. Cleaning nozzle 7 Toilet 8 Bowl section 9 Toilet lid 10 Suction device 20 Gas detection device 40 Gas Sensors 100 Control device 110 Communications Department 120 Storage section 130 Control Unit 131 Acquisition Department 132 Processing Unit 133 Output section 200 Estimation means R Toilet Room

Claims

1. A biometric information measurement system that measures the biometric information of a user of a toilet room based on the fecal gas discharged into the bowl of a toilet installed in the toilet room, The toilet has a toilet seat device attached to the top of the toilet bowl, The aforementioned toilet seat device is A gas detection device comprising 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 sulfur components and hydrogen gas, The aforementioned suction device for aspirating defecation gas, A control device for controlling the suction device and the gas detection device, An output means for outputting information regarding the processing results by the control device, It has, The toilet seat device has a first duct that communicates with the inside of the bowl, a second duct that communicates with the outside of the main body of the toilet seat device, and a passage that connects the first duct and the second duct and through which the exhaust gas flows. The first gas sensor and the second gas sensor are arranged in the same flow path through which the defecation gas, which is drawn up from the bowl by the suction device, flows. The control device is Based on the detection result of the first gas sensor, a first calculated value corresponding to hydrogen gas is calculated. Based on the first calculated value, a second calculated value corresponding to the hydrogen gas of the second gas sensor is calculated. Based on the detection result of the second gas sensor and the second calculated value, a third calculated value corresponding to the odorous gas is calculated. The biometric information measurement system estimates the user's health status or information related to the health status based on the third calculated value, The output means is If the first calculated value, the second calculated value, and the third calculated value do not satisfy the predetermined conditions used to determine whether the information can be changed, the control device outputs the first information, which is the user's health status or information related to the health status, If at least one of the first, second, and third calculated values ​​satisfies the predetermined conditions, in order to address measurement errors related to the calculated value of odorous gas caused by variations in the amount of hydrogen gas, the values ​​included in the first information, which is the user's health status or information related to the health status, output by the output means are replaced with a preset value or a value included in past first information stored in the storage means and output. A biological information measurement system characterized by the following features.

2. The predetermined conditions include at least one of the following: the first calculated value or the second calculated value is greater than the first threshold, or the third calculated value is less than the second threshold which is smaller than the first threshold. The biological information measurement system according to feature 1.

3. The predetermined conditions include the second calculated value being greater than the zero calculated value corresponding to the odorous gas and hydrogen gas, which is calculated based on the detection results of the second gas sensor. A biological information measurement system according to claim 1 or 2, characterized by the features described above.

4. The output means is If the aforementioned predetermined conditions are met, second information regarding measurement accuracy will be output. The biological information measurement system according to feature 1.

5. A toilet seat device that measures the biological information of a user of a toilet room based on the excrement gas discharged into the bowl of a toilet installed in the toilet room, the toilet seat device being attached to the top of the toilet, A gas detection device comprising 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 sulfur components and hydrogen gas, The aforementioned suction device for aspirating defecation gas, A control device for controlling the suction device and the gas detection device, An output means for outputting information regarding the processing results by the control device, It has, The toilet seat device has a first duct that communicates with the inside of the bowl, a second duct that communicates with the outside of the main body of the toilet seat device, and a passage that connects the first duct and the second duct and through which the exhaust gas flows. The first gas sensor and the second gas sensor are arranged in the same flow path through which the defecation gas, which is drawn up from the bowl by the suction device, flows. The control device is Based on the detection result of the first gas sensor, a first calculated value corresponding to hydrogen gas is calculated. Based on the first calculated value, a second calculated value corresponding to the hydrogen gas of the second gas sensor is calculated. Based on the detection result of the second gas sensor and the second calculated value, a third calculated value corresponding to the odorous gas is calculated. The toilet seat device estimates the user's health condition or information relating to the health condition based on the third calculated value, The output means is If the first calculated value, the second calculated value, and the third calculated value do not satisfy the predetermined conditions used to determine whether the information can be changed, the control device outputs the first information, which is the user's health status or information related to the health status, If at least one of the first, second, and third calculated values ​​satisfies the predetermined conditions, in order to address measurement errors related to the calculated value of odorous gas caused by variations in the amount of hydrogen gas, the values ​​included in the first information, which is the user's health status or information related to the health status, output by the output means are replaced with a preset value or a value included in past first information stored in the storage means and output. A toilet seat device characterized by the following features.

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