JP2017042354A - Urine information processing apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To grasp variation in a urine volume of a measurement target on the basis of urine volume information in urination.SOLUTION: A urine volume measurement apparatus comprises: an arithmetic part (22) which calculates a urination volume in every unit time on the basis of a urination volume measured in a urination time from the start to the finish of urination of a measurement target; and an information processing part (23) for outputting to an output part urination information expressing the urination volume in every unit time calculated by the arithmetic part.SELECTED DRAWING: Figure 5

Description

  The present invention relates to an apparatus for processing information related to urine, and more particularly to a urine information processing apparatus for processing information on urine volume.

  When the subject suffers from urethral stone or renal failure, the data obtained by observing the urine volume according to the elapsed time at the time of urination is known to include characteristic data specific to the disease. ing. Due to the recent increase in health consciousness, subjects have been requested to know information on urine volume on the spot during urination.

  Regarding the measurement device relating to urination, for example, in Patent Document 1 (Japanese Patent Laid-Open No. 2002-186601) and Patent Document 2 (Japanese Patent Laid-Open No. 2008-206592), urination data for each time of a patient is measured, and the measurement data is externally transmitted. The structure transmitted to an apparatus is shown.

JP 2002-186601 A JP 2008-206592 A

  The devices of Patent Documents 1 and 2 are used on the premise that a specialist or the like determines data regarding urination of a patient based on knowledge in a specialized facility such as a hospital. Therefore, the apparatus of patent document 1 and 2 cannot respond to the test subject's request described above.

  Therefore, an object of an aspect of the present disclosure is to provide a urine information processing apparatus that makes it possible to grasp a change in a urine volume to be measured from urine volume information during urination.

  A urine information processing device according to an aspect of the present disclosure is calculated by a calculation unit that calculates a urination amount per unit time based on a urination amount measured during a urination time from the start to the end of urination of a measurement target, and a calculation unit And an information processing unit for causing the output unit to output urination information indicating the urination amount per unit time.

  According to the present disclosure, it is possible to grasp a change in the urine volume to be measured from the urine volume information at the time of urination.

1 is a diagram schematically showing a configuration of a urine volume measuring device 100 according to Embodiment 1. FIG. 2 is a diagram schematically showing a configuration of a sensor 31 according to Embodiment 1. FIG. 1 is a diagram schematically showing a toilet room according to Embodiment 1. FIG. It is a figure which shows typically the installation aspect of the sensor 31 which concerns on Embodiment 1. FIG. It is a figure which shows roughly the structure of the function for processing the urine information which concerns on Embodiment 1. FIG. It is a figure which shows roughly the structure of the database which concerns on Embodiment 1. FIG. 4 is a processing flowchart of information relating to the amount of urination according to the first embodiment. 6 is a diagram showing a display example of comparison results according to Embodiment 1. FIG. 10 is a processing flowchart of information related to the amount of urination according to the second embodiment. It is a figure which shows schematically the structure of the urine volume measuring device 101 which concerns on Embodiment 3. FIG.

Hereinafter, a urine information processing apparatus according to an embodiment will be described with reference to the drawings.
(Overview)
The urine information processing apparatus according to the present embodiment calculates the urination volume per unit time based on the urination volume measured during the urination time from the start to the end of the urination to be measured. Information representing the amount of urination per unit time in the urination time calculated by the calculation unit is output via the output unit.

  Thereby, it becomes possible to grasp the change in the urine volume per unit time of the measurement target.

[Embodiment 1]
(Device configuration)
FIG. 1 is a diagram schematically showing a configuration of a urine volume measuring device 100 according to the first embodiment. FIG. 2 is a diagram schematically showing the configuration of the sensor 31 according to the first embodiment. FIG. 3 is a diagram schematically illustrating the toilet room according to the first embodiment. FIG. 4 is a diagram schematically illustrating an installation mode of the sensor 31 according to the first embodiment. The urine volume measuring device 100 is an example of a “urine information processing apparatus”.

  Referring to FIG. 3, a toilet room 300 includes a door 301, a human sensor 302 for detecting entry / exit of a subject (user) using infrared rays, a urine volume measuring device 100, and a Western-style toilet 30. Installed. With reference to FIG. 4, the toilet bowl 30 has a recessed part in which the stored water 32 in which the urination from a subject falls is stored. In order to measure the amount of urination to the stored water 32, the toilet 30 includes a sensor 31 described later.

  In Embodiment 1, the urine volume measuring device 100 is configured as a terminal that can be carried by a subject. The portable terminal includes an information communication terminal such as a smartphone. Referring to FIG. 1, a urine volume measuring device 100 includes a CPU (Central Processing Unit) 1, a memory 2 including a ROM (Read Only Memory) and a RAM (Random Access Memory), a timer 3, a storage unit 4, a battery, and the like. A power source 5, a urine volume detection unit 6, an operation unit 8 including buttons and switches, an output unit 9, and a communication unit 13 that communicates with the sensor 31 and the human sensor 302 are provided.

  The storage unit 4 stores a DB (abbreviation of database) 10 for storing urine volume information of the subject and an evaluation table TB. The storage unit 4 may be configured as a storage medium that is detachable from the urine volume measuring device 100.

  The output unit 9 includes an audio output unit such as a display unit (display) or a speaker. The operation unit 8 and the display unit of the output unit 9 may be provided as an integrally configured touch panel.

  2, the sensor 31 includes a CPU (Central Processing Unit) 32, a memory 33, a water level sensor unit 34, and a communication unit 35. The water level sensor unit 34 is constituted by, for example, a pressure-type water level sensor. The water level sensor unit 34 detects the pressure (water pressure) from the stored water 32 in the concave portion of Fig. 4 and converts the detected pressure into a water level, and the CPU 31 converts the water level obtained by the conversion via the communication unit 35. To the urine volume measuring device 100.

  The urine volume detection unit 6 of the urine volume measuring device 100 periodically receives the water level (unit: milliliter) data of the stored water 32 from the sensor 31 via the communication unit 13, and follows the received water level data in the order of reception. It converts to time series data and outputs the time series data to the CPU 1. Thereby, CPU1 can detect the change of the water level of the stored water 32 from time series data.

  The method for measuring the water level of the stored water 32 by the sensor 31 is not limited to the method using pressure, and may be a method using ultrasonic waves. Further, the amount of urination is not limited to the method of measuring using the water level of the stored water 32. For example, when the sensor 31 is composed of a weight sensor, the CPU 1 can detect the amount of urine that has fallen into the accumulated water 32 from time-series data indicating a change in the weight of the accumulated water 32 measured by the weight sensor. it can.

(Function structure)
FIG. 5 is a diagram schematically showing a configuration of functions for processing urine information according to the first embodiment. In the present embodiment, the function of each unit shown in FIG. 5 is provided as a program executed by CPU 1 of urine volume measuring device 100. These programs are stored in the memory 2 or the storage unit 4. CPU 1 reads the program from the storage unit and executes the read program.

  Referring to FIG. 5, CPU 1 has a timer 21 for measuring the urination time from the start to the end of urination of the subject based on the output of timer 3, and unit time based on the urination amount measured during urination time. And an information processing unit 23 for causing the output unit 9 to output information representing the calculated amount of urination per unit time.

  The CPU 1 further includes an information storage unit 24 for storing urination information representing the urination amount per unit time in the urination time in the DB 10, information representing the urination amount per unit time in the urination time calculated by the calculation unit 22, and The comparison unit 25 for comparing the urination information already stored in the DB 10 and the comparison result processing unit 26 for causing the output unit 9 to output the comparison result are provided. Details of the comparison will be described later with reference to FIG.

  The CPU 1 further searches the evaluation table TB based on the comparison result, and based on the search result, the evaluation unit 27 for evaluating the risk of the urinary tract disease of the subject, and the result of the evaluation are output to the output unit 9. An evaluation result processing unit 28 is provided for outputting the data. Details of the evaluation will be described later with reference to FIG.

(Database configuration)
FIG. 6 is a diagram schematically showing a configuration of the database according to the first embodiment. Referring to FIG. 6, the information stored in DB 10 includes one or more records Ri (i = 1, 2, 3,..., N) and a representative record RM. The record Ri indicates urination information calculated by the calculation unit 22 for each urination of the subject. Specifically, the record Ri includes data D1 indicating the date and time (month, day, hour, minute) when the corresponding urination was detected, status ST, and urination data D2. The urination data D2 indicates the amount of urination per unit time calculated by the calculation unit 22 during the corresponding urination time. The status ST is a result of evaluation by the evaluation unit 27, and indicates a result of evaluating the urination information regarding the risk of urinary system diseases. For example, when it is evaluated that there is a risk, “abnormal” is set in the status ST, and when it is evaluated that there is no risk, “normal” is set. In FIG. 6, the unit time is 1 second for the sake of explanation, but the unit time is not limited to 1 second.

  The representative record RM indicates representative information that is information representative of urination information of a plurality of records Ri. Specifically, the representative record RM includes an identifier D3 for identifying the representative information and representative urination data D4. The representative urination data D4 includes, for each unit time, an average value that is a statistical value of the urine output corresponding to the unit time of all the records Ri. Specifically, the representative urination data D4 is associated with each unit time of urination start to 1 second, 1 second to 2 seconds, 2 seconds to 3 seconds,... The average value is shown.

  Here, the representative information is an average value calculated from the urination information of all the records Ri, but is not limited to the average value. For example, the representative information may be a mode value or a median value.

(flowchart)
FIG. 7 is a processing flowchart of information relating to the amount of urination according to the first embodiment. A program according to this flowchart is stored in the memory 2. CPU 1 reads the stored program and executes the read program.

  Referring to FIG. 7, when the power of urine volume measuring device 100 is turned on, CPU 1 activates the program and puts it in the IDLE state (waiting state) (step S11). In the IDLE state, the CPU 1 determines the start of urination based on whether or not the water level input in time series from the urine volume detection unit 6 has increased by a predetermined amount (step S13).

  If CPU 1 determines that the water level has increased by a predetermined amount, that is, urination has started (YES in step S13), the process proceeds to step S15 described later, but the water level does not increase by a predetermined amount. That is, while it is determined that urination has not started (NO in step S13), the processes in steps S11 and S13 are repeated.

  If it is determined that urination has been started (YES in step S13), the timer unit 21 starts measuring the urination time based on the output of the timer 3 (step S15). The timer unit 21 outputs a notification of time data indicating the time measured to the calculator 22.

  The computing unit 22 calculates the amount of urination per unit time based on the time data from the time measuring unit 21 and the time-series water level data from the urine volume detection unit 6 (step S19). For example, the amount of urination per unit time is calculated by calculating the difference between both water levels from the water level data one second ago and the current water level data. The calculation unit 22 stores the calculated urination volume per unit time in the area of the memory 2 (step S21).

  Based on the water level data input in time series from the urine volume detection unit 6, the CPU 1 determines the end of urination based on whether or not the state in which the water level does not increase continues for a predetermined time (step S23). Alternatively, the CPU 1 determines whether or not the urination end button operation has been performed, that is, whether or not the urination has ended, based on the user operation received by the operation unit 8 (step S23).

  While CPU 1 does not determine that urination has ended (NO in step S23), the process returns to step S17, and the subsequent processes (steps S17 to S23) are repeated in the same manner as described above. By repeating the process, during the urination time, the urination amount is calculated for each unit time, and the calculated urination amount is stored in the memory 2 in time series.

  On the other hand, when CPU 1 determines that urination has ended (YES in step S23), CPU 1 controls time counting unit 21 so as to stop time counting of urination. Thereby, the time measurement of urination time is completed. The information storage unit 24 reads out the amount of urination per unit time stored in the memory 2 in the loop processing from the memory 2, generates the record Ri described above based on the read content, and generates the generated record Ri is stored in the DB 10 (step S27).

  The comparison unit 25 uses the urination information calculated by the calculation unit 22 (that is, the urination data D2 of the record Ri generated in step S27) and the representative urination data D4 of the representative record RM of the DB 10 during the current urination time. Compare. In order to notify the subject of the comparison result and the risk assessment of the urological disease based on the comparison result, the comparison result processing unit 26 and the evaluation unit 27 cause the output unit 9 to output these pieces of information (step S29). Details of the output information will be described later with reference to FIG.

  Thereafter, the CPU 1 calculates the representative information based on the average value based on the record Ri in the DB 10, and rewrites the data of the representative record RM using the calculated representative information (step S31). Thereby, the representative record RM is managed so as to indicate the latest information. Thereafter, the program shifts to the original IDLE state (step S33).

  Thus, the amount of urination is detected over the urination time of the subject, urination information (record Ri) based on the detection result is stored in the DB 10, and the subject is based on the result of comparison between the urination information and the representative information. A notification is presented.

(Information output example)
FIG. 8 is a diagram illustrating a display example of the comparison result according to the first embodiment. In step S29 of FIG. 7, the comparison unit 25 compares the current urination information (record Ri) with the representative information (representative record RM), and the comparison result processing unit 26 uses the comparison result of FIG. ), (D) or (F) image data is generated and output to the output unit 9. The output unit 9 drives the display based on the image data and displays a graph on the display. As shown in (B), (D), or (F) of FIG. 8, the graph shows time (urination time) on the horizontal axis and the amount of urination on the vertical axis, and the amount of urination per unit time. It is generated by plotting in time series.

  The evaluation unit 27 evaluates the risk of urological disease based on the comparison result. The evaluation result processing unit 28 generates message data such as (A), (C), or (E) in FIG. 8 based on the evaluation result, and outputs the message data to the output unit 9. The output unit 9 drives the display with the message data and displays a message on the display. Each message is composed only of characters, but is not limited to characters and may include images (moving images / still images).

  The evaluation unit 27 searches the evaluation table TB in the storage unit 4 and evaluates the risk of urological disease based on the search result. In the evaluation table TB, a plurality of comparison result patterns and message data for evaluating the risk of urological diseases associated with each comparison result pattern are registered.

  For example, when the comparison result indicates that the urination time based on the current urination information is shorter than the urination time of the representative information, and the difference between the urination times is equal to or more than a predetermined time (see FIG. 8B). The evaluation unit 27 searches the evaluation table TB based on the comparison result, and reads the associated message data (see FIG. 8A) from the evaluation table TB. As a result, when it is determined that urination has been completed immediately after urination has started, the risk assessment of the urinary tract disease to the subject (“status: suspected of abnormal urinary calculus or renal failure”) Can be output.

  Further, for example, when the result of the comparison indicates that the total urination amount based on the current urination information is smaller than the urination amount of the representative information, and the difference between the urination amounts exceeds a predetermined amount ((( The evaluation unit 27 searches the evaluation table TB based on the comparison result, and reads the associated message data (see FIG. 8C) from the evaluation table TB. As a result, when the total urination volume during the urination time is significantly lower than the previous average urination volume, a notification of risk assessment of urological diseases (“status: suspected urolithiasis or renal failure”) is output can do.

  Further, for example, when the comparison result indicates that the amount of urination per unit time is greater than a predetermined amount than the amount of urination per unit time of the representative information ((F in FIG. 8 The evaluation unit 27 searches the evaluation table TB based on the comparison result, and reads the associated message data (see (E) of FIG. 8) from the evaluation table TB. By this, when the urination volume per unit time is higher than the past average urination volume, it is possible to output a notification of risk assessment of urological disease (“status: suspected abnormal renal failure”) .

  If the evaluation unit 27 searches the evaluation table TB based on the comparison result and does not hit the corresponding data, the evaluation unit 27 outputs “normal” data to the evaluation result processing unit 28. As a result, a message indicating that there is no abnormality is output via the output unit 9.

  Further, the evaluation unit 27 notifies the information storage unit 24 of the “status” value (abnormal or normal) based on the search result of the evaluation table TB. Based on the notification from the evaluation unit 27, the information storage unit 24 sets “abnormal” or “normal” to the status ST of the corresponding record Ri.

  From the output content of FIG. 8, the subject can notice the possibility of the disease at an early stage. In the first embodiment, the measurement target of urine volume is a human, but the measurement target is not limited to a human and includes animals such as dogs and cats.

[Embodiment 2]
The second embodiment shows a modification of the first embodiment. In the first embodiment, the start of the process of FIG. 7 is determined based on power-on, but in the second embodiment, the determination is based on detection of entry into the toilet room 300.

  FIG. 9 is a processing flowchart of information relating to the amount of urination according to the second embodiment. FIG. 9 is obtained by adding the processes of steps S7 and S9 to the flowchart of FIG. 7. Since the other processes are the same as those in FIG. 7, the description of the other processes will not be repeated.

  Referring to FIG. 9, CPU 1 determines whether the subject has entered toilet room 300 based on the output of human sensor 302 received via communication unit 13 (step S7). If it is determined that the room has not been entered (NO in step S7), the process of step S7 is repeated. If it is determined that the room has been entered (YES in step S7), the CPU 1 turns on the power supply 5 (step S9). . Thereby, electric power is supplied to each part from the power supply 5. FIG. The CPU 1 performs the processing after step S11 in the same manner as in FIG.

  In FIG. 9, the detection of the subject leaving the toilet room 300 is treated as an interrupt. Specifically, in the IDLE state in step S11, when the CPU 1 determines that the subject is leaving based on the output of the human sensor 302, the power source 5 is changed from ON to OFF by interrupt processing, Stop power supply. Thereby, the process of FIG. 9 is completed.

[Embodiment 3]
The third embodiment shows a modification of the first or second embodiment. In the first and second embodiments, the urine volume measuring device 100 includes the storage unit 4 that stores the DB 10 and the evaluation table TB. However, as in the third embodiment, the urine volume measuring device 100 includes the urine volume measuring device 100. Instead, the server 200 which is an external information terminal may be provided. FIG. 10 is a diagram schematically showing the configuration of the urine volume measuring device 101 according to the third embodiment.

  The urine volume measuring device 101 of FIG. 10 includes a communication unit 7 that communicates with the server 200 instead of the storage unit 4 when compared with the urine volume measuring device 100. Since the other configuration of urine volume measuring apparatus 101 is the same as the configuration of FIG. 1, the description thereof will not be repeated.

  The storage unit 18 of the server 200 includes a DB 10 in which urination information of a user (subject) of the urine volume measuring device 101 is registered, and an evaluation table TB. In the urine volume measuring device 101, the record Ri generated by the processing of FIG. 7 or FIG. 9 is transmitted to the server 200 via the communication unit 7. When receiving the record Ri, the CPU 11 registers the received record Ri in the DB 10. The server 200 may be configured to generate the record Ri instead of the urine volume measuring device 101.

  The CPU 11 of the server 200 may have the functions of the comparison unit 25 and the evaluation unit 27. In that case, the server 200 performs the above urination information and representative information comparison processing and risk assessment of urinary system diseases. The comparison result and the risk evaluation result are transmitted from the server 200 to the urine volume measuring device 101. The urine volume measuring device 101 displays the information received from the server 200 via the output unit 9. Thereby, the result of the comparison and the risk evaluation (see FIG. 8) can be presented to the subject as in the above-described embodiments.

[Embodiment 4]
Embodiment 4 shows a modification of each of the above embodiments. The urine volume measuring device 100 is not limited to a portable type, and may be configured as a terminal that is fixedly installed on the wall surface of the toilet room 300 at a position where the subject can easily operate during defecation and urination.

  Further, in step S27 in FIG. 7, the records Ri are uniformly stored in the DB 10, but may be selectively stored. Specifically, when there is a user instruction via the operation unit 8, storage of the record Ri in the DB 10 may be omitted. For example, if the subject fails to urinate, he / she can input the instruction from the operation unit 8 so that the urination information at the time of the failure is not registered in the DB 10.

  In addition, the information processing unit 23 may cause the output unit 9 to output information representing the calculated urination amount each time the urination amount per unit time is calculated by the calculation unit 22. Thereby, the test subject can confirm the time-series fluctuation of the amount of urination in the time from the start to the end of urination while urinating in real time.

  Further, when the CPU 1 calculates the representative information based on the record Ri of the DB 10, the record Ri whose status ST indicates “abnormal” is excluded from the calculation target. Thereby, the comparison by the comparison unit 25 using the representative information of the representative record RM and the evaluation by the evaluation unit 27 can be provided as more accurate information.

  In the second embodiment, the human sensor 302 detects entry into the toilet room 300 using infrared rays, but the detection method is not limited to this. For example, the human sensor 302 is a method for detecting whether or not a subject has entered a room based on the detection result by detecting the electric field strength of short-range communication of a portable terminal equipped with the urine volume measuring device 100 (101). Also good.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

  6 Urine volume detection unit, 9 output unit, 21 timing unit, 22 calculation unit, 23 information processing unit, 24 information storage unit, 25 comparison unit, 26 comparison result processing unit, 27 evaluation unit, 28 evaluation result processing unit, 30 toilet , 31 sensor, 32 pooled water, 34 water level sensor unit, 100, 101 urine volume measuring device, 200 server, 300 toilet room, 301 door, 302 human sensor, RM representative record, Ri record, ST status.

Claims (5)

Based on the amount of urination measured during the urination time from the start to the end of urination to be measured, a calculation unit that calculates the urination amount per unit time;
An urine information processing apparatus comprising: an information processing unit for causing an output unit to output urination information representing the urination amount per unit time calculated by the calculation unit. An information storage unit for storing the urination information;
A comparison unit that compares the urination information calculated by the calculation unit with the urination information stored in the information storage unit;
The urine information processing apparatus according to claim 1, further comprising: a comparison result processing unit for causing the output unit to output the comparison result. The comparison unit further includes:
The urine information processing apparatus according to claim 2, wherein the urination information calculated by the calculation unit is compared with representative information that is information representative of the plurality of urination information stored in the information storage unit. Based on the result of the comparison, an evaluation unit that evaluates the risk of the urological disease to be measured;
The urine information processing apparatus according to claim 2, further comprising: an evaluation result processing unit for causing the output unit to output the evaluation result.   The urine information processing apparatus according to claim 1, further comprising a receiving unit configured to receive a urination amount measured by a sensor that measures a urination amount to be measured.

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