JP5590495B2 - Biological information measuring device - Google Patents

Description

  The present invention relates to a biological information measuring device that measures human biological information, and more particularly to a biological information measuring device that estimates a biological information index from an excretion amount.

  In response to growing health consciousness, measurement of living body related information has been required even in general life. For example, specific health checkups (specific health checkups) and specific health guidance for the prevention and improvement of lifestyle-related diseases represented by obesity have been introduced, and intake represented by obesity indicators such as body weight and body fat, and intake Efforts to grasp information and improve lifestyle based on this information are being promoted. Obesity tendency is judged by obesity index such as body weight, body mass index (BMI), body fat percentage. A technique capable of measuring these indexes with one apparatus has been developed (for example, Patent Document 1) and commercialized.

  On the other hand, regarding the measurement of intake information, a technique is disclosed in which an intake food (calorie) is grasped by capturing the ingested food with a camera (Patent Document 2). In another technique, intake information is input by intake information input means (Patent Document 3).

Japanese Patent Application Laid-Open No. 11-128198. JP 2002-236755 A WO2006 / 004049

  However, the conventional technique for measuring an obesity-related index requires a subject to perform a specific measurement operation only for measurement, such as an operation of touching a measurement device, and the measurement itself is a burden in daily life. There is a problem of becoming. Further, the conventional intake information measuring means for capturing or inputting ingested foods has a problem that it is difficult to incorporate in daily life because it complicates the burdensome work and load on the subject.

  The present invention solves such various problems, and performs biometric information on the intake and obesity level without placing a special operational burden on the subject by measuring the amount of stool during excretion of stool, which is a daily life activity of the subject. It is an object of the present invention to provide a biological information measuring device capable of obtaining an index and having high operational reliability.

In order to achieve the above object, a biological information measuring apparatus according to claim 1 is provided.
A urinal where the subject excretes stool;
A defecation amount measuring means for measuring the amount of the stool installed in the toilet as a defecation amount;
A biological information index calculation data storage means for storing the correspondence between degree of obesity indicator of obesity prone of the subject as a previously stored the stool weight and biometric information index indicating the biological information of the subject,
And biometric information index calculating means for estimating an obesity index indicating the obesity tendency of the subject as the biometric information index of the subject from the defecation amount measured based on the correspondence.

The biological information measuring device of the present invention according to a preferred embodiment is characterized in that the biological information index is an obesity index indicating the obesity tendency of the subject.

  According to the present invention, the biological information regarding the intake amount and obesity tendency of the subject is estimated through the measurement of the amount of stool excreted after the defecation action in the toilet that always occurs in daily life. Therefore, there is an effect that data can be continuously accumulated, and it is easy to make efforts for health management and health promotion based on long-term observation.

It is a perspective view which shows the seating type toilet bowl which comprised the biological information measuring device which concerns on this embodiment. It is a block diagram which shows the structure of the biological information measuring device of this invention. It is a graph which shows the example of an output of the pressure sensor which measured the amount of defecation. It is a figure which illustrates the correlation data of the amount of defecation and intake. It is a figure which illustrates the correlation data of the amount of defecation and intake. It is a graph model showing the correlation between the amount of defecation and BMI. It is a figure which illustrates the correlation data of the amount of defecation and BMI. It is a model of the graph which shows the correlation with the amount of defecation and body fat percentage. It is a figure which illustrates the correlation data of the amount of defecation and body fat percentage. It is a model of the graph which shows the correlation with the amount of defecation and weight. It is a figure which illustrates the correlation data of a defecation amount and a body weight. It is a figure which illustrates the correlation data of a defecation amount and a body weight. It is a figure which shows an example of the procedure of the biometric information measurement using the biometric information measuring apparatus of this invention.

  Hereinafter, a first embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a perspective view showing a seated toilet having a biological information measuring apparatus according to this embodiment.

  First, an outline of the biological information measuring apparatus according to this embodiment will be described. The biological information measuring apparatus 1 according to the present embodiment includes a sitting toilet 10 that receives a waste that is seated on a toilet seat 12 and is excreted in the stored water of the toilet bowl 13 and is discharged into sewage. And a function unit 8 incorporating various functions including biological information index estimation for estimating the biological information index from the quantity. The functional part 8 is incorporated in the rear part of the toilet seat 12. A pressure sensor 7 serving as a water level measuring means is provided at the bottom of the toilet bowl 13. The function unit 8 estimates the defecation amount from the change in the level of the stored water accompanying the defecation measured by the pressure sensor 7, and further estimates the biological information index from the defecation amount.

  In addition, an operation display unit 30 for performing various operations of the seated toilet 10 and operations of the biological information measuring device 1 is installed on the lateral side wall of the room where the seated toilet 10 is installed. The operation display unit 30 is provided with a display unit 28 and an operation unit 29. The operation unit 29 is provided with, for example, a measurement start button, a measurement end button for forcibly ending the measurement, a personal recognition button for triggering the start and end of measurement assigned to each of a plurality of subjects.

  Data exchange between the pressure sensor 7 and the function unit 8 is performed by connection, and data exchange between the function unit 8 and the operation display unit 30 is performed by infrared light.

FIG. 2 is a block diagram showing the configuration 1 of the biological information measuring apparatus of this embodiment. Broadly divided, it is composed of a pressure sensor, a function unit, and an operation display unit.
As a pressure sensor used for the pressure sensor 7, a general-purpose type sensor used for a sphygmomanometer or a barometer can be used. As a measurement principle of these sensors, for example, there is one that reads the amount of distortion caused by pressure generated in a silicon wafer with a bridge circuit, and one that measures capacitance.

  The functional unit 8 includes a defecation amount calculating unit 80, a biological information index calculating unit 82, and a biological information index calculating data storage unit 83.

  When measurement is started by a measurement start operation or the like from the operation unit 27, the function unit 8 transmits a measurement start signal to the pressure sensor 7 and when the pressure sensor 7 starts to operate, the pressure sensor corresponding to the water level of the stored water An output signal is obtained. The obtained output signal of the pressure sensor is sent to the storage unit 81 of the function unit 8 and stored in time series. Further, the operation of the pressure sensor 7 is ended by the measurement end signal of the function unit 8, and the recording of the sensor output signal is ended.

  Subsequently, the defecation amount calculating means 80 processes the sensor output signal stored in the storage unit 81 to calculate the defecation amount. The calculated defecation amount data is stored in the storage unit 81 and transmitted to the biometric information index calculating unit 83. The biometric information index calculation means 83 estimates the biometric information index based on the received defecation amount data and the biometric information index calculation data stored in the biometric information index calculation data storage means 82, and the obtained biometric information index Is displayed on the display unit 28.

  The defecation amount calculation means 80 is a pressure sensor control unit that controls the operation of the pressure sensor 7, a first storage unit that stores an output value from the pressure sensor 7, and a defecation amount that calculates the defecation amount by processing the output value of the pressure sensor. And a second storage unit for storing defecation amount calculation data used for defecation amount calculation in the defecation amount calculation unit.

  Hereinafter, a method for calculating the defecation amount by the defecation amount calculating means 80 will be specifically described with reference to the drawings. The first storage unit of the defecation amount calculation means 80 stores the output of the pressure sensor in a time sequence. The graph shown in FIG. 3 is an example showing a change in the pressure sensor output value during the measurement time. The vertical axis represents the sensor output value (pressure) output from the pressure sensor 7 and the horizontal axis represents the measurement time. ing. As shown in the figure, although the output value of the pressure sensor 7 fluctuates greatly due to the impact of falling on the defecation reservoir water surface, the output is stable after the end of the defecation. The difference in output before and after defecation is the pressure change ΔP due to defecation.

  Then, the defecation amount calculation unit calculates the defecation amount M based on a conversion formula (calibration curve) M = f (ΔP) between the pressure change ΔP and the defecation amount. The data of the conversion formula between the pressure change ΔP and the defecation amount is determined in advance by another measurement or the like, and is stored in the second storage unit of the defecation amount calculating means. Moreover, the conversion formula data stored in the second storage unit can be created or corrected by performing on-site calibration using simulated stool or the like.

  In addition, although the amount of defecation measured in this embodiment is a volume unit (ml), in order to make it easier for the user to accept, the specific gravity is set to 1 and converted to a weight unit (g). The specific gravity of human defecation varies somewhat depending on the quality of the intake, but most of the composition is water (more than 70% is normal), and the experience shows that it floats and sinks. There is no divergence.

  Next, the biological information index calculation means 82 and the biological information index calculation data storage means 83 in this embodiment will be described in detail using examples.

  The intake amount of the intake is used as the biological information index in the present embodiment. If the human body is regarded as one substance conversion system and excretion is an output, intake is an input. In the present embodiment, an intake amount that is an input is estimated from an excretion amount that is an output.

  The biological information index calculation unit 82 receives the defecation amount data signal obtained by the defecation amount calculation unit 80, and calculates the received biological information index data stored in the biological information index calculation data storage unit 83. Based on the data, that is, the correspondence table (calibration curve) between the defecation amount and the intake amount, the intake amount which is a biological information index is estimated.

  The biological information index calculation data stored in the biological information index calculation data storage means 83 is obtained by measuring the daily defecation amount of the user with the apparatus according to the present invention and simultaneously measuring the daily intake amount. It is obtained by acquiring the intake data and then performing a correlation analysis between them.

  FIG. 4 is a graph in which the average defecation amount per user and the average intake amount per day are plotted. Average stool volume per day is the total stool volume of each subject divided by the number of test days during the test period (about 4 weeks), and the average daily intake is the intake during the same period (excluding liquid drinks) The total weight of is divided by the number of test days.

  As shown in FIG. 4, it can be seen that there is a good correlation between the defecation amount and the intake amount. In other words, the intake can be estimated from the amount of defecation. The amount of defecation may be affected not only by the amount of intake, but also by the type of intake, the constitution of the intake person, and defecation habits. As a result, it is estimated that such a good correlation is established between the defecation amount and the intake amount.

  Based on FIG. 4, a calibration curve (approximate expression) for estimating the intake from the defecation amount is determined, and corresponding data for both is created in a table based on the calibration curve and stored in the biological information index calculation data storage means 83. . In the present embodiment, since the data stored in the biological information index calculation data storage means 83 is based on the data of different users, the user can use his / her own intake data obtained by the apparatus of the present invention. It can be used as a guide for judging whether the intake is higher or lower than the average level.

  As another example of estimating the intake from the defecation amount, instead of estimating based on the average value of a plurality of users over a certain period, the daily defecation amount and the daily intake amount for one user Correlation data is acquired, and the obtained data is similarly subjected to correlation analysis to obtain an approximate expression to obtain biometric information index calculation data. An example is shown in FIG. The horizontal axis is a value obtained by performing a 3-day moving average process on the defecation amount of a certain user, and the vertical axis is a 3-day moving average of the intake amount until the day before defecation.

  As can be seen from FIG. 5, a strong correlation is established between the two. The 3-day moving average is based on the fact that the residue after digesting the ingestion is not excreted in a day, but a residence period of 2-3 days is possible. In addition, the moving average of the intake up to the previous day is suitable for estimating the previous day's intake from the defecation amount, considering that most of the intake has a minimum stay time of 12 hours or more. It is.

  Correlation between the amount of defecation and intake is obtained from the data shown in FIG. 5, and a correspondence table between the amount of defecation (3-day moving average) and the amount of intake (3-day moving average up to the previous day) is obtained from the result. By storing it in the storage means 83, the intake amount can be estimated from the daily defecation amount of the user. That is, the biometric information index calculation data storage means 83 stores the calibration curve data determined based on the previous measurement as described above, that is, the 3-day moving average of the defecation amount and the 3-day moving average of the intake amount up to the previous day. Is stored as intake calculation data. Each time the biometric information index calculation means 82 receives the defecation amount from the defecation amount calculation means 80, the biometric information index calculation data storage means 83 is accessed, and the biometric information index (in this embodiment, the average intake for three days up to the previous day) ) Read the calculated data and calculate the intake from the defecation amount.

  The calculated intake amount is transmitted and displayed on the display unit to notify the user. At the same time, it is stored in the function unit 8 together with the defecation time. Therefore, the average food intake for the three days up to the previous day can be found from the apparatus of this example. Further, by displaying the data in a graph format in time series on the display unit, for example, daily fluctuations in the intake amount and its trend can be understood.

  Instead of the 3-day moving average process data, for example, 5-day moving average processed data may be used.

  Next, a second embodiment of the present invention will be described. This embodiment is different from the first embodiment in that the biological information index is an obesity index indicating obesity tendency, but the apparatus configuration is the same as that of the first embodiment shown in FIG. Since only the biological information index calculation data storage means 83 is different, only the biological information index calculation means 82 and the biological information index calculation data storage means 83 will be described below.

  Here, three examples will be described as examples of the obesity index that is a biological information index targeted by the present embodiment.

(First embodiment)
The obesity index in the present embodiment is a body mass index (BMI), and the biometric information index calculation data stored in the biometric information index calculation data storage means 83 of the function unit 8 is correspondence data between the defecation amount and the BMI. Is different from the first embodiment. BMI is well-recognized and can be used on the same basis regardless of gender, so it is preferable as an index of obesity. Here, the correspondence data between the defecation amount and the BMI stored in the biological information index calculation data storage unit 83 will be described.

  FIG. 6 is a graph showing the correlation between the defecation amount and the BMI, that is, a calibration curve model for calculating the BMI from the defecation amount. This calibration curve can be obtained by the following procedure.

  First, the amount of defecation is measured for a plurality of people with the apparatus according to the present invention for a certain period (in this embodiment, 4 weeks), and the data is averaged to obtain the amount of defecation for each person. The body weight is measured and the obtained body weight data is averaged, and then the BMI is calculated based on a well-known method (BMI = body weight / (height * height)). Next, both data are plotted, and a calibration curve is obtained by performing correlation analysis.

  An example is shown in FIG. As shown in FIG. 7, it can be seen that there is a strong correlation between the defecation amount and the BMI. The reason is that the amount of stool is directly proportional to the amount of ingested food because the main ingredient is waste products that have escaped digestion. On the other hand, it is conceivable that the higher the intake, the more energy is accumulated in the body due to overdose, resulting in an obesity tendency, that is, a higher BMI.

  From the above, it can be seen that BMI, which is an obesity index, can be estimated by measuring the amount of defecation during defecation.

  The biometric information index calculation data storage means 83 stores calibration curve data determined based on prior measurements as described above, that is, correspondence data between the defecation amount and the BMI as BMI calculation data. Each time the biometric information index calculation means 82 receives the defecation amount from the defecation amount calculation means 80, the biometric information index calculation data storage means 83 is accessed to read out the BMI calculation data and calculate the BMI from the defecation amount.

  The calculated BMI data is transmitted to and displayed on the display unit 29 to notify the user. At the same time, the result is stored in the function unit 8 together with the defecation time. In consideration of the fact that BMI does not fluctuate greatly every day, instead of notifying the data every time it is measured, the data within a certain period is reported to be averaged or noticed, or changes are clearly recognized, That is, it can be notified when a new trend is seen.

  In the present embodiment, attributes such as gender are not considered in the data for obtaining the correspondence relationship between the defecation amount and the BMI, but the attributes are classified by attribute, that is, by gender, and by age in which the age is divided into sections (for example, 20− You may obtain | require based on data, such as 30 years old, 40-50 years old, 60 years old or more. In this case, the apparatus has a user attribute acquisition function. Examples of the attribute acquisition means include user input operations and biometric recognition means.

(Second embodiment)
Next, a second example of this embodiment will be described.
The biological information index in this embodiment is the body fat percentage, and the biological information index calculation data stored in the biological information index calculation data storage means 83 of the function unit 8 is the correspondence data between the defecation amount and the body fat percentage. Is different from the first example of the present embodiment.

  Body fat percentage has recently been popularized and recognized as one of the health checkup items, and it is unlikely that people who are not obese, such as BMI, are obese because of their bone thickness and muscle constitution. More preferred as an obesity index. Here, the correspondence data between the defecation amount and the body fat percentage stored in the biological information index calculation data storage unit 83 will be described.

  FIG. 8 is a graph showing the correlation between the defecation amount and the body fat percentage, that is, a calibration curve model for calculating the body fat percentage from the defecation amount. This calibration curve can be obtained by the following procedure.

  First, as in the first example of the present embodiment, the amount of defecation occurring at the time of defecation with a device according to the present invention is measured for a certain period (four weeks in this example) for a plurality of persons, and the data Are obtained as the amount of defecation of each person, and at the same time, the body fat percentage in the measurement period is measured by another measuring means, for example, a commercially available body composition meter, and the obtained body fat percentage data is averaged. To obtain the body fat percentage of each person. Next, both data are plotted, and a calibration curve is obtained by performing correlation analysis.

  FIG. 9 shows an example. As shown in FIG. 9, it can be seen that there is a strong correlation between the amount of defecation and the body fat percentage. The reason for this is not always clear, but the same reason as in the case of the BMI of Example 3 can be considered.

  The biological information index calculation data storage means 83 stores the calibration curve data determined based on the previous measurement as described above, that is, the correspondence data between the defecation amount and the body fat percentage as defecation amount calculation data. . Each time the biometric information index calculating unit 82 receives the defecation amount from the defecation amount calculating unit 80, the biometric information index calculating data storage unit 83 is accessed to read the body fat rate calculation data and calculate the body fat rate from the defecation amount. .

  Since the body fat percentage differs depending on the attribute, particularly gender, in this embodiment, it is desirable to create a calibration curve for estimating the body fat percentage from the defecation amount for each attribute. In other words, the biometric information index calculation data storage unit 83 stores corresponding data for each attribute, and the apparatus recognizes or pre-registers the user's attribute to identify the user's attribute, and to the identified attribute. In response, the biological information index calculation means 82 selects and reads calibration curve data from the biological information index calculation data storage means 83, and calculates the body fat percentage from the defecation amount. The example shown in FIG. 9 is a correlation diagram based on male data.

  The calculated body fat percentage is transmitted to the display unit 29 and displayed to notify the user. At the same time, the result is stored in the function unit 8 together with the defecation time. In consideration of the fact that body fat percentage does not fluctuate greatly every day, instead of notifying data every time it is measured, it is reported by averaging the data within a certain period, or clearly changed That is, when a new trend is seen, it can be displayed and notified.

(Third embodiment)
Next, a third example of this embodiment will be described.
The biological information index in this embodiment is weight, and the difference is that the biological information index calculation data stored in the biological information index calculation data storage means 83 of the function unit 8 is correspondence data between the amount of defecation and the weight. Body weight is the most easy-to-understand physical condition index, and it is important in health care to grasp the body weight and its changes. Here, the correspondence data between the defecation amount and the body weight stored in the biological information index calculation data storage unit 83 will be described.

FIG. 10 is a graph showing the correlation between the amount of defecation and the weight of men in their 30s and 40s, that is, a model of a calibration curve for calculating the body weight from the amount of defecation. This calibration curve can be obtained by the following procedure.

First, as in the second example of the present embodiment, the amount of defecation occurring at the time of defecation with a device according to the present invention is measured for a certain period (four weeks in this example) for a plurality of persons, and the data Is obtained as the amount of defecation of each person, and at the same time, the weight in the measurement period is measured by another measuring means, for example, a commercially available weight scale, and the obtained weight data is averaged to obtain each person's defecation amount. Get as weight. Next, both data are plotted, and a calibration curve is obtained by performing correlation analysis.
FIG. 11 shows an example. As shown in FIG. 11, it can be seen that there is a strong correlation between the amount of defecation and the body weight. The reason may be the same as in the case of the BMI of the first example in the present embodiment.

  The biometric information index calculation data storage means 83 stores calibration curve data determined based on prior measurements as described above, that is, correspondence data between the amount of defecation and the weight as weight calculation data. Each time the biometric information index calculation means 82 receives the defecation amount from the defecation amount calculation means 80, the biometric information index calculation data storage means 83 is accessed to read the weight calculation data and calculate the weight from the defecation amount.

Since respect to weight attributes, particularly different gender, in the present embodiment, a calibration curve for estimating a body weight fecal amount is desirably created by demographic. That is, the biological information index calculation data storage section 83 and attribute-corresponding data is stored, to identify the attributes of the user in the device to recognize or pre-register the attribute of the user, identified attributes Accordingly, the biological information index calculation means 82 selects and reads calibration curve data from the biological information index calculation data storage means 83, and calculates the body weight from the defecation amount. The example shown in FIG. 11 is a correlation diagram based on data of men in the 30-40 years range.

  The calculated weight is transmitted to the display unit and displayed on the display unit. At the same time, the result is stored in the function unit together with the defecation time. In consideration of the fact that the weight does not fluctuate greatly every day, instead of notifying the data every time it is measured, the data within a certain period is reported to be averaged, or a change is clearly recognized, That is, it can be displayed and notified when a new trend is seen.

  Further, instead of the average data of the defecation amount and the weight for each attribute, the corresponding data based on the calibration curve obtained from the correlation data between the defecation amount and the weight of a specific user is stored in the biological information index calculation data storage unit 83. Can also be stored. FIG. 12 shows an example. FIG. 12 is a diagram showing the correlation between the amount of defecation (5-day moving average) and the weight after 3 days in a man in the 40s. Although there was variation, a good correlation was confirmed between the two. The reason for this is that since the amount of stool reflects the amount of intake, when the amount of stool is large, the amount of intake is also large, and when the amount of intake continues, the tendency to gain weight increases, so the weight after several days also increases (the phenomenon The same applies to the case).

  If data based on such a correlation is stored in the biological information index calculation data storage means 83, a change in weight after several days can be predicted from a change in the amount of defecation. That is, in the present embodiment, the possibility of weight change can be informed to the user from the measurement of the amount of defecation, which can help improve health, such as improving dietary habits. Further, when dieting, it can be used to confirm the effect of dieting.

  As described above, the present embodiment has been described using the BMI, the body fat percentage, and the body weight as examples of the obesity index that is a biological information index, but other indices such as the abdominal circumference and the built-in fat ratio may be used as the index. When these indices are used, the configuration of the apparatus is the same as in the above embodiment, and the biological information index calculation data stored in the biological information index calculation data storage means 83 used by the biological information index calculation means 82 is different. .

  Finally, a procedure for measuring a biological information index using the biological information measuring devices of the first and second embodiments according to the present invention will be described as an example.

  FIG. 13 is an example showing a procedure of a biological information measuring method method in which the biological information measuring device of the present invention is built in and used in a sanitary washing toilet seat device attached to a Western-style toilet. The process (including the process of the health condition measuring apparatus) performed by the toilet seat apparatus on the left side is displayed separately on the right side for the operation of the user (hereinafter referred to as “subject”) as the measurement subject of the biological information measuring apparatus.

  First, when the subject enters the room, the entrance to the room is detected by the human body detection sensor, and the pressure sensor 7 is activated by the function unit 8. When the human body detection sensor is not used, the subject may turn on the biological information manually.

  When the subject sits down, the seating sensor detects the seating, and the function unit 8 starts the operation of the pressure sensor 7. The subject's attribute information is acquired by operating the measurement start button. In addition, you may perform a subject's attribute information acquisition not by button operation but by a human body recognition function.

  Until the test subject starts and finishes defecation, the pressure sensor 7 outputs pressure data at a certain time, for example, every second, and writes them in the function unit 8.

  After the defecation is completed, the subject starts washing the human body. At this time, the recording of the pressure sensor 7 is terminated in conjunction with the cleaning button. The time when the defecation ends and the detection data of the pressure sensor 7 at that time are stored. In addition, it is good also as a format which a test subject ends a memory | storage manually without interlocking with a washing | cleaning button. Furthermore, in order to prevent a case where the washing button is used before or during defecation, the washing button operation can be invalidated until a manual storage end operation (that is, a defecation end operation) is performed.

  Next, the defecation amount calculation means 80 of the function unit 8 searches for the output signal value of the pressure sensor 7 near the measurement start time and the measurement end time, and calculates each value (for example, three-point average) before and after the measurement. As data, the difference between the two is recorded as the output value (ΔP) of the pressure sensor, and the defecation amount is calculated from ΔP.

  Subsequently, the biological information index calculation means 82 estimates the biological information index. The calculated biological information index value is written in the function unit 8 and the result is simultaneously notified to the subject through the display unit 10 or the like.

The biometric information index calculating unit 82 can select whether to calculate one biometric information index or a plurality of biometric information indices, or by operating the operation unit 29 of the subject. Alternatively, the subject can register and place in advance.
When the subject leaves and leaves the room, the human body detection sensor detects that the room is left, and the signal is sent to the pressure sensor control unit of the function unit 8 to turn off the pressure sensor 7.

The embodiments of the present invention have been described based on the examples. In another embodiment, for example, calculating the defecation amount by measuring the size or volume using an image sensor, a displacement sensor, or a length measurement sensor instead of the pressure sensor as the defecation amount measuring means. It is done.

  INDUSTRIAL APPLICABILITY The present invention can be used in industries in the fields related to health management devices and housing related facilities, particularly toilet related facilities.

DESCRIPTION OF SYMBOLS 1 ... Living body information measuring device 7 ... Pressure sensor 8 ... Functional part 10 ... Seating type toilet bowl 12 ... Toilet seat 13 ... Toilet bowl part 28 ... Display part 29 ... Operation part 30 ... Operation display part 80 ... Defecation amount calculation means 81 ... Memory | storage Unit 82 ... Biological information index calculation means 83 ... Biological information index calculation data storage means

Claims (2)

A urinal where the subject excretes stool;
A defecation amount measuring means for measuring the amount of the stool installed in the toilet as a defecation amount;
A biological information index calculation data storage means for storing the correspondence between degree of obesity indicator of obesity prone of the subject as a previously stored the stool weight and biometric information index indicating the biological information of the subject,
Biometric information index calculating means for estimating an obesity index indicating the obesity tendency of the subject as the biometric information index of the subject from the defecation amount measured based on the correspondence relationship. measuring device. The living body related information measuring apparatus according to claim 1, wherein the obesity index is one of BMI, body fat percentage, and body weight.

Images