JP7217007B2 - Urination information analysis device, urination information analysis system and program - Google Patents

Description

The present invention relates to a urination information analysis device, a urination information analysis system, and a program.

Excreting by yourself in the toilet is the basis for human beings to live like humans. For example, if you can't urinate by yourself and put on a diaper, the degree of dementia will progress, and you will be able to remove the diaper and urinate in the toilet by yourself, which will cause a phenomenon in which dementia is improved. Sometimes. To be able to urinate on your own without using a diaper, you need to know your bladder function.

As a technique for determining whether or not the bladder function is normal, for example, in paragraph [0002] of Patent Document 1, "Determining whether or not the bladder function of a person requiring care is normal is practically Until now, for example, every hour, a caregiver, such as a nurse, checks whether the person in need of care is urinating in a disposable diaper, and if the person is urinating, measures the amount of incontinence. Then, for example, using a dedicated ultrasonic residual urine measurement device, the amount of residual urine requiring nursing care was measured repeatedly, and the measurement results were accumulated to make a judgment. Regarding function, the accumulated measurement results show that the amount of residual urine is small, but the bladder contracts spontaneously during the urine storage period when urine should be stored. It was determined whether it was a bladder or an underactive bladder with impaired bladder contraction during micturition and a large amount of residual urine."

Then, the invention disclosed in this patent document 1 puts on a wearable article (such as a diaper) to which a sensor element for detecting urination is attached, and notifies a caregiver or the like that the user has actually urinated. measures the amount of incontinence by measuring the weight of the clothes worn (diapers, etc.) at the time of urination, measures the amount of residual urine of the person requiring care using an ultrasonic residual urine measurement device, and reports the measurement results. For example, recording in a voiding diary is repeated. Then, for example, a doctor judges the state of bladder function based on the recorded urination diary.

JP 2016-120261 A

In order to accumulate the data for judging bladder function as described above, the amount of incontinence should be measured by removing the diaper each time the target person requiring nursing care urinates and using an ultrasonic residual urine measurement device. It is necessary to measure and record the amount of urine, and the work becomes complicated for both the caregiver and the person requiring care. For example, when a care recipient who determines bladder function resides in a facility and there are a plurality of such care recipients, the caregiver's labor is further increased. In addition, when the care recipient has frequent urination, the number of times of urinating in a day is large, and the number of times of work for recording is correspondingly large, which increases the above-described complexity.

In addition, the above-described conventional system requires wearing of a diaper and a sensor element for detecting urination. In order to apply it, it is necessary to dare to wear a diaper, which is not preferable.

The above-described problems are described as independent ones, and the present invention does not necessarily have to be able to solve all of the described problems, and it is sufficient if at least one of the problems can be solved. In addition, we intend to obtain the right for the configuration to solve this problem by filing a divisional application or making an amendment.

(1) In order to solve the above-described problems, the urination information analysis device of the present invention obtains the difference between the urine volumes in the bladder before and after a comparison target based on the acquired time-series data of the urine volume in the bladder, A function of selecting a plurality of candidates for urination having a large differential urine volume, and determining the speed at which the urine volume in the bladder increases for each of the selected plurality of urination candidates, and determining the speed as a reference. When exceeding the standard, it is configured to have a function of deleting the urination candidate that is the basis for exceeding the criterion and a function of determining the timing of urination based on the urination candidate that remains without being deleted.

(2) A process of removing zero measurement values constituting the time-series data of the urine volume in the bladder and selecting the urination candidate for the time-series data of the urine volume in the bladder after the elimination. should be performed.

(3) In an interval in which each measured value constituting the time-series data of the urine volume in the bladder is continuously decreasing, the intermediate measured values other than the beginning and end of the decrease are removed, and the It is preferable that the process of selecting the urination candidate is performed on the time-series data of urine volume in the bladder.

(4) A function to determine at least one of the amount of urine associated with urination, the amount of residual urine immediately after urination, and the amount of stored urine immediately before urination based on the amount of urine in the bladder at the determined time of urination. good.

(5) A program according to the present invention may be a program for causing a computer to implement the functions used in the urination information analysis device according to any one of (1) to (4).

(6) A urination information analysis system according to the present invention comprises a measuring device attached to a subject for a certain period of time and measuring and recording the bladder urine volume of the subject at regular intervals; ), and the time-series data of the urine volume in the bladder analyzed by the urination information analyzer is data measured and recorded by the measuring device.

The present invention can determine when a person to be measured urinates based on the time-series data of urine volume in the bladder obtained by measuring the person to be measured for a certain period of time. By determining the timing of urination in this way, information such as the number of urinations in a certain period (for example, a day) and the amount of urine in the bladder before and after the timing of urination, the amount of urine, the amount of stored urine, and the amount of residual urine can be obtained. Easy to understand.

In the present invention, since the timing of urination is determined based on the acquired time-series data of the amount of urine in the bladder, it is sufficient if the amount of urine in the bladder can be measured. It can be applied to any wearer. Since the timing of urination is determined based on the time-series data of the amount of urine in the bladder measured for a certain period of time, there is no need to bother to measure and record the amount of residual urine immediately after each urination. Therefore, for example, even if there are a plurality of persons to be measured or the number of times of urinating in a day is large, the work is not increased.

1 is a diagram showing a preferred embodiment of a urination information analysis device according to the present invention; FIG. 4 is a graph showing an example of history data of urine volume in the bladder. 4 is a flow chart showing an example of an analysis processing algorithm; It is a figure explaining the function of an analysis processing algorithm. It is a figure explaining the function of an analysis processing algorithm. It is a figure explaining the function of an analysis processing algorithm. It is a figure explaining the function of an analysis processing algorithm. It is a figure explaining the function of an analysis processing algorithm. It is a figure explaining the function of an analysis processing algorithm. It is a figure explaining the function of an analysis processing algorithm.

Preferred embodiments of the present invention will now be described in detail with reference to the drawings. It should be noted that the present invention is not to be construed as being limited to this, and various changes, modifications, and improvements can be made based on the knowledge of those skilled in the art without departing from the scope of the present invention.

As shown in FIG. 1, the urination information analyzer 10 of the present embodiment measures the amount of residual urine of a subject measured by a residual urine measuring device 1 worn at a predetermined position on the abdomen of the subject for determining bladder function. Based on the time-series data, it detects the time of urination, obtains predetermined information such as calculating the amount of urination from the detected amount of residual urine before and after urination, and has a function to record and output the obtained information.

The residual urine measuring instrument 1 is provided with a mounting portion such as an adhesive sheet for mounting on the body (abdomen) of a person to be measured on the surface of a case body (not shown). An ultrasonic sensor 3, a control section 4, a memory card slot 5, a display section 6, and the like are provided inside the case main body.

The ultrasonic sensor 3 is a reflective sensor, and in this embodiment, is for measuring the volume of the subject's bladder. The memory card slot 5 is for detachably inserting the SD memory card 2, and data is read from and written to the SD memory card 2 while the SD memory card 2 is inserted. The display unit 6 is arranged, for example, on the surface of the case main body, is composed of, for example, a liquid crystal display, and displays measurement results and the like.

The control unit 4 is a microcomputer having a CPU, ROM, RAM, nonvolatile memory, I/O, etc., and is connected to the above-described units as shown in FIG. The functions of the residual urine measuring device 1 are implemented by storing the firmware in the NAND Flash memory of the control unit 4 as firmware executed by the CPU of the control unit 4 and executing the firmware by the CPU of the control unit 4 .

In this embodiment, the control unit 4 operates the ultrasonic sensor 3 to perform scanning at set sampling times, and obtains the volume of the bladder. The sampling time should be, for example, 1 minute. The control unit 4 records the residual urine volume based on the determined volume in the SD memory card 2 in association with date and time data. As for the association with the date and time data, for example, individual residual urine volume data and date and time data may be linked. The data may be recorded in chronological order so that the date and time can be determined based on the number of data from the regular time.

Further, the control unit 4 outputs the obtained residual urine amount to the display unit 6 each time the residual urine amount is obtained. As a result, the subject or the like can know the current amount of residual urine in real time by looking at the display section 6, and can confirm whether or not the time to urinate is approaching. Also, the control unit 4 preferably holds the amount of residual urine displayed on the display unit 6 until the amount of residual urine is measured next time.

By using the residual urine measuring device 1 described above, it is possible to continuously acquire time-series data of the residual urine volume for, for example, 24 hours by continuously wearing it on the subject, and to measure the residual urine volume over a long period of several days or longer. It is also possible to record the history of continuous residual urine volume. The time-series data of residual urine volume obtained in this manner is recorded in the SD memory card 2 .

Therefore, for example, by taking out a memory card from the memory card slot 5, inserting it into the urination information analysis device 10 according to the present invention, importing data, and analyzing it with the urination information analysis device 10, various kinds of information useful for urination support can be obtained. can be extracted. Specifically, it is as follows.

A urination information analysis device 10 of this embodiment includes a control unit 11, a memory card slot 12, a display unit 13, a storage unit 14, an input unit 15, and the like. The urination information analysis apparatus 10 is configured by, for example, a personal computer, and the hardware configuration of the above-described devices, processing units, etc. is realized by devices, etc. provided in the personal computer.

The memory card slot 12 is used to detachably mount the SD memory card 2, and data is read from and written to the SD memory card 2 while the SD memory card 2 is mounted. The memory card slot 12 of the present embodiment is used, for example, to load the SD memory card 2 storing the time-series data of the residual urine amount measured by the residual urine measuring device 1 and to read the recorded time-series data. The memory card slot 12 is implemented by a card reader or the like mounted on the personal computer or externally attached to the personal computer main body.

The storage unit 14 stores the time-series data read from the SD memory card 2, and stores the results of analysis based on the time-series data. The storage unit 14 is implemented by, for example, an internal storage device of a personal computer, an external storage device, or the like.

The display unit 13 displays information such as the read time-series data and analysis results. This display unit 13 may be implemented by, for example, a display monitor of a personal computer.

The input unit 15 inputs various instructions to the control unit 11 . This input unit 15 may be realized by, for example, a keyboard or display monitor of a personal computer.

The control unit 11 is implemented by, for example, a CPU, MPU, etc. of a personal computer, and collects, analyzes, outputs, etc. information for performing urination support. For example, the control unit 11 controls the operation of the memory card slot 12, reads the time-series data recorded in the SD memory card 2 loaded in the memory card slot 12 as described above, and reads the read time-series data. Write in the storage unit 14 . Further, the control unit 11 acquires predetermined time-series data, executes predetermined analysis processing, and obtains various kinds of information useful for urination support, such as urination timing, number of times, urination amount, and residual urination amount. Then, the control unit 11 performs various output processes such as displaying the obtained information for assisting urination on the display unit 13 and recording it in the storage unit 14 . An example of the analysis processing function provided by the control unit 11 is as follows.

FIG. 2 is a graphical representation of an example of time-series data of the amount of residual urine determined by the residual urine measuring device 1. As shown in FIG. In the figure, the horizontal axis is the time, and the vertical axis is the urine volume in the bladder (residual urine volume). The time-series data measured and recorded by the residual urine measuring device 1 and transferred to the urination information analysis device 10 are values of the urine volume in the bladder measured at each sampling time and recorded in time series. The points (dots) in the line graph are the measured data. When displaying the acquired time-series data on the display unit 13, the control unit 11 displays a point at the coordinate position in the graph corresponding to the measured data and draws a polygonal line so as to connect adjacent points. FIG. 2 is a graph showing the results obtained by executing an analysis processing algorithm, which will be described later, and determining the urination timing (immediately before and after urination). Furthermore, above the graph, the urination timing based on the recorded data of the urination diary in which the urination timing was manually recorded is shown.

In the example shown in FIG. 2, the amount of urine in the bladder decreases once after urination at around 9:00 and then gradually increases. After that, when urinating before 15:00, the amount of residual urine that was slightly less than 300 ml became 0. The same tendency is repeated thereafter, and the graph of urine volume in the bladder becomes a triangular wave-like shape in which schematic triangles repeat. Since the residual urine measuring device 1 is attached to the skin, the residual urine measuring device 1 moves, and the position of ultrasonic wave irradiation shifts due to movement of the body/body surface. In addition, since there are many folds on the inner wall of the bladder, even if there is a slight deviation in the irradiation position, the change in the position of the fold where the ultrasonic wave hits causes a large amount of variation in the depth in the direction of irradiation. The influence of the measured value increases. As a result, the measured value becomes jagged as shown in the figure, or suddenly becomes zero.

The actual amount of urine in the bladder is constant or gradually increases and does not decrease unless urination is performed. The occurrence of such events is based on erroneous detection and measurement errors, since the amount of urine in the bladder does not suddenly become 0 or abruptly decrease.

The analysis processing algorithm implemented in the control unit 11 removes the effects of the above-described measurement error/noise and erroneous detection/measurement error, extracts the urination time (time immediately before urination/time immediately after urination), and extracts the urination time. The amount of urine in the bladder just before urination and the amount of urine in the bladder immediately after urination are obtained, and information useful for assisting urination, such as the amount of urination, is extracted from these urine amounts in the bladder. Specifically, the analysis processing algorithm executed by the control unit 11 may be, for example, the flowchart shown in FIG.

The analysis processing algorithm of the present embodiment performs urination detection on the measurement results for one day, and extracts the above-described various types of information. Therefore, the time-series data measured and recorded by the residual urine measuring device 1 is operated by removing the SD memory card 2 every 24 hours, setting it in the urination information analysis device 10, and importing the time-series data into the urination information analysis device 10. It is good to say Further, when the residual urine measuring device 1 continuously records time-series data for 24 hours or more, the control unit 11 of the urination information analyzer 10 continuously records data for 24 hours out of the acquired time-series data. It is better to analyze

First, the control unit 11 accesses the storage unit 14 and acquires time-series data of the urine volume in the bladder (residual urine volume) to be analyzed (S1). To specify the time-series data to be acquired, for example, a list of time-series data recorded in the storage unit 14 by the control unit 11 is displayed on the display unit 13 based on an instruction input from the input unit 15 . The subject or other user finds the time-series data to be analyzed from the displayed list and uses the input unit 15 to specify it. The control unit 11 preferably specifies the time-series data to be analyzed based on the designation information given from the input unit 15 . In addition, it is preferable to associate the information specifying the person to be measured with the time-series data imported into the urination information analyzer 10 via the SD memory card 2. By doing so, the time-series data to be analyzed is obtained by detecting the person to be measured as a detection key. It is good because you can narrow down the

Next, the control unit 11 removes data such as various types of noise that are unnecessary or adversely affect the analysis from the acquired time-series data. First, when the measured value is 0 ml, the control unit 11 removes it (S2: see FIG. 4). For example, even if the amount of urine in the bladder (residual urine amount) decreases after urination, the amount of urine in the bladder generally does not become 0 ml, and even if there is some amount of urine, some urine remains. Therefore, when the measured value is 0 ml, it can be determined that it is not a correct value, so processing to delete it is performed.

Next, the control unit 11 extracts the time-series data for which the measured value continuously decreases from the time-series data after the above processing, and removes the values in between (S3: see FIG. 5). In other words, when the measured value decreased continuously, it was highly likely that the measured value was measured during the same urination, so it was removed. This removal process leaves the measured value at the start of the decrease (immediately before urination) and the measured value at the end of the decrease (immediately after urination) in the case of continuous decrease, and deletes the intermediate measured values. By deleting the data of the intermediate measurement values in this way, the measurement values before and after one urination remain, and the remaining measurement values are the values aligned in the time series data after processing. . Then, when such a continuous decrease interval is a urination interval, the difference between the measurement values arranged in front and behind in this manner is the urination amount.

The specific processing for removing the values between the sections in which the above measured values are continuously decreasing may be performed as follows, for example. The control unit 11 compares each measured value arranged in time series, for example, when the first value is (1), the next value is (2), and the next value is (3), ( Remove the value of (2) if 2) is less than (1) and (3) is less than (2). Repeat this to find the minimum value. Also, perform the measurements one by one from the beginning of the measured values. In the example shown in FIG. 5, first, three data (1), (2), and (3) arranged in time series are compared, and (2) satisfying the above removal condition is removed. Next, the three data (1), (3), and (4) are compared, and (3) satisfying the condition is removed. This leaves (1) and (4).

Next, the control unit 11 obtains the difference between the measured value obtained at one time and the next measured value for the data obtained by executing the processing step S3 (data remaining without being removed). Record as urine volume (S4). The next measured value to be compared is the remaining next measured value if there is data removed by executing the processing step S3, or the next measured value measured at the sampling time in the section where there is no removed data. be.

In addition, when urination is finally detected, the next measurement value is smaller than the measurement value obtained at one time, and the urine volume in the bladder decreases, so the difference between the values before and after the decrease However, the differential urine volume associated with the urine storage may be compared with the differential urine volume at the time of urination. However, it is very small, and it is possible to distinguish whether it is urination or not by the size of the difference. Therefore, it is preferable to sequentially obtain the difference without performing the determination process of "whether the next measured value is smaller" as in the present embodiment, because the algorithm can be simplified and high-speed processing can be performed.

Next, the control unit 11 assigns numbers in descending order of the differential urine volume obtained in the processing step S4, and selects urine candidates up to the set reference number (S5). The reference number is preferably 10, for example. As described above, due to the influence of noise, etc., the measured value may increase while increasing and decreasing even in the interval from one urination to the next. is smaller and may be extracted as the differential urine volume in the processing step S4. On the other hand, the differential urine volume based on the measured values before and after the actual urination is also extracted, and the difference is sufficiently large compared to the noise-based one. Therefore, by picking up a predetermined number in descending order of the differential urine volume, the differential urine volume based on noise and the like is not extracted, and the influence of noise and the like is prevented. Furthermore, even those who are generally said to have frequent urination do not urinate more than 10 times a day. is extracted as much as possible.

Next, the control unit 11 removes candidates other than urination from the obtained urination candidates based on the speed of accumulation of urine in the bladder (S6). That is, when the amount of urine in the bladder increases rapidly, the immediately preceding urination candidate is deleted. For example, considering the general urine volume, since the urine volume is said to be 2000 ml/24 hours for a certain period of time, the increase in the urine volume is 1.39 ml/min. Therefore, assuming that the amount of urine is 100 ml, for example, it takes 71.9 minutes to store the amount of urine that has been urinated. Therefore, for example, if the measured value at one time is 400 ml, the next value is 10 ml, and the next value is 400 ml, 390 ml of urine will not be stored in a few minutes, so the amount of urine in the bladder will be reduced. Voiding candidates that drop from 400 ml to 10 ml (differential urine volume of 390 ml) are determined not to void. Specifically, for example, the control unit 11 calculates each value from the time of the next value of the candidate for the time immediately before urination to 71.9 minutes later based on the slope of the collected urine of 1.39 ml/min. If the amount of urine in the bladder exceeds even once, it is excluded from the urination candidates.

After executing the process of this processing step S6, the remaining urination candidates are determined to be the urination period when urination actually occurred (urination is detected), the time immediately after urination and the time immediately before urination are obtained, the number of urinations, and the number of urinations. Information for assisting urination, such as the amount of urine, the amount of urine stored, and the urination interval, is obtained and recorded in the storage unit 14 (S7).

The analysis processing algorithm described above will be described according to a specific example. FIG. 6 is an example of time-series data to be analyzed acquired by executing the processing step S1. In the illustrated example, a part of time-series data for one day (24 hours) is displayed for convenience of explanation. In this example, for example, in the interval from 180 to 280 minutes, there are many measurement results of 0 ml of urine volume in the bladder. framed).

When the control unit 11 executes the processing step S2 on this time-series data, the data with the urine volume in the bladder of 0 ml is removed, and the time-series data after processing becomes as shown in FIG. Next, when the control unit 11 executes the processing step S3 on the processed time-series data shown in FIG. The data in the middle portion of the values are removed, and the time-series data after processing is as shown in FIG.

Next, when the control unit 11 executes the differential urine volume calculation process in step S4 on the processed time series data shown in FIG. 8, the differential urine volume time series data shown in FIG. 9 is generated. The time-series data of the differential urine volume may be recorded in the storage unit 14, for example, or may be recorded in a memory or the like in the CPU constituting the control unit 11. FIG. Next, the control unit 11 executes the processing step S5 on the time-series data of the differential urine volume, assigns numbers to the 10th highest in descending order of the differential urine volume, and extracts urination candidates as indicated by the dashed line in FIG.

Furthermore, the control unit 11 executes the processing step S6 for the extracted 10 urination candidates, and extracts and removes the urination candidates whose urine volume in the bladder rapidly increases immediately after the urination candidate. As a result, urination candidates ranked "8", "7", "5", "8", "10", and "6" are removed in chronological order. Then, the control unit 11 detects that the remaining four urination candidates "2", "3", "1", and "4" have actually urinated, and detects the time of the urination candidate (just before urination). Time) is set as the time immediately after urination (S7). As a result, the timing of urination and the frequency of urination (4 times in this example) are obtained. In addition, the differential amount of urine determined for each urination candidate is the amount of urine at the time of urination, the amount of urine in the bladder at the time immediately before urination is the amount of stored urine, and the time immediately after urination to the time immediately before the next urination is the urination interval. .

Although the time-series data to be analyzed is different, as a result of analyzing the actual time-series data with the urination information analyzer, the analysis results shown in FIG. 2 were obtained. In this example, the urination information analysis device detects 6 urinations, and although there is a discrepancy from the actual number of urinations specified in the urination diary recorded by the person, the 5 urinations detected by the urination information analysis device The timing coincides with the actual urination timing, and the detection of urination once during the urine collection is within the range of error, confirming that the device functions sufficiently effectively.

Further, in the above-described embodiment, 1.39 ml/min is used as the amount of change in the amount of stored urine, which is the determination criterion when extracting and removing a urination candidate whose amount of urine in the bladder increases rapidly from immediately after the urination candidate in processing step S6. Although used, the present invention is not limited to this, and may be adjusted as appropriate. The adjustment is preferably performed within a range of, for example, 1.3 to 1.4, and this adjustment enables more accurate detection of urination. Further, the above range of 1.3 to 1.4 is based on the premise that the amount of collected urine in a certain period of time is 2000 ml/24 hours, as described above, and some variations and fluctuations are taken into account. Therefore, if the amount of collected urine of the user is different, the amount of change is also different. As an example, when the amount of collected urine for a given period of time is 1200 ml/24 hours, the amount of change in the amount of collected urine used as the determination criterion is about 0.83. Therefore, it is preferable to adjust and set the amount of change in the criterion, for example, within a range of about 0.8 to 3.0.

In addition, since the amount of collected urine that can be collected per unit time may differ depending on age and sex, it is preferable to provide a function for changing the determination criteria depending on age and sex. Furthermore, the amount of urine that can be stored per unit time also differs from one user to another. Therefore, for example, at the start of use, a general value based on age, gender, etc. is set, data is accumulated with use, the amount of urine that can be collected per unit time of the user is obtained, and based on the obtained urine amount It is preferable to have a function to feed back and correct the amount of change in the amount of stored urine used as the criterion.

Further, the control unit 11 stores the information required for the urination support obtained as described above (urination time, number of times, urination amount, urine storage amount, etc.) in the storage unit 14 . By checking the information stored in the storage unit 14 and required for urination support, the person to be measured, the caregiver, the medical staff, and the like can perform appropriate urination management, diagnosis, and treatment.

In addition, according to this urination information analysis device, since the timing, time and frequency of urination can be determined, it is possible to obtain a rough indication of whether or not there is frequent urination or a tendency to urinate frequently. In addition, since it is possible to accurately obtain whether or not the user urinates at night and the number of nighttime urinations, useful information for diagnosing nocturia and the like can be collected. For example, when going to the toilet at night and urinating, there is a risk that the patient may be half asleep and forget to measure and record the amount of urine in the bladder before and after urination, or forget that he or she has gone to the toilet in the first place. , it is possible to reliably detect urination and obtain necessary information.

The maximum storage capacity (maximum bladder capacity) can be known from the amount of urine in the bladder immediately before urination. For example, the volume of urination at one time is usually not constant but fluctuates. For example, if the amount of urine in the bladder immediately before urination varies from 100 ml to 200 ml to 400 ml, the maximum bladder capacity of the person is 400 ml. Since the capacity of the bladder is sufficient, the cause of early urination with 100 ml or 200 ml can be investigated and treated. On the other hand, if the urine volume in the bladder is 100 to 200 ml each time, the maximum bladder capacity is small, so the cause can be investigated and treated.

Even if the amount of urination is 100-200 ml each time, for example, if the maximum bladder capacity is sufficiently large, such as 400 ml, and the amount of residual urine after urination is large, the muscle strength for urination may be weak. Therefore, even in the same situation of frequent urination at 100-200ml, the maximum bladder capacity is small and different treatment is required for those who frequently urinate at 100-200ml. is good because it can be seen at a glance.

For example, if a drug for overactive bladder is continued for longer than necessary, there is a risk that urine will not come out. Therefore, there is a risk that a doctor who is not very familiar with overactive bladder may stop taking the medication midway through and go back to the way it was before. From this data, the condition of the subject/patient can be found with high accuracy, and medication can be administered appropriately.

In addition, by knowing the maximum bladder capacity, for example, in the case of a person requiring nursing care, by checking the current amount of urine in the bladder, the person being cared for can know the timing to encourage urination, and the person needing care can urinate naturally. It is good for people who need diapers because it allows them to become independent and allows them to change diapers when needed.

Furthermore, for people who need diapers, it is possible to know the appropriate diaper size (large, medium, small, etc.) from the history of the amount of urine they urinate at one time. It is good because it can be suppressed as much as possible to eliminate the use and to suppress as much as possible that the small size cannot absorb all the urination and make the user feel uncomfortable. For example, even if urine leaks from a diaper due to improper wearing of the diaper, people tend to blindly choose a larger size without knowing this. On the other hand, if this system can be used to know how much urine is urinated at one time, it will be possible to know if the size of the diaper is not correct or if the diaper is improperly applied, so that appropriate measures can be taken. Furthermore, it is possible to instruct patients who may not need diapers to that effect.

In addition, by using this system, as described above, it is possible to accurately measure the urination interval, the number of urinations, the amount of urine in the bladder immediately before urination, the amount of residual urine, and the amount of residual urine, without manually creating a urination diary while checking urination manually. Since the amount and the like can be obtained, for example, it is possible for a caregiver or the like to reduce the effort required to measure the amount of urine in the bladder and create a urination diary every time one urinates. In addition, even when looking at the time-series data of urine volume in the bladder, which includes noise and false detection data, caregivers without medical knowledge, such as doctors, cannot obtain information necessary for urination support, such as urination timing and urination volume. Although it cannot be read, it is good because the subject's situation can be understood at a glance.

In the above-described embodiment, the process of deleting data with a measurement value of 0 ml from the time-series data of urine volume in the bladder (S2) and the process of deleting data in the middle of consecutively decreasing intervals (S3). is performed, the processing (S4, S5) for obtaining urination candidates from the differential urine volume is performed, but the present invention is not limited to this, and one or both of processing steps S2 and S3 may be omitted. good. However, it is preferable to perform both processing steps because the effects of noise and the like can be removed with high accuracy. Also, when both processing steps are executed, it is more preferable that the order of execution be as in the embodiment.

In the above-described embodiment, the data measured by the residual urine measuring device 1 is once recorded in the detachably attached SD memory card 2, and through the SD memory card 2, a urination information analysis device realized by a personal computer or the like is used. 10, but the present invention is not limited to this. The time-series data may be sent to the urination information analysis device 10 using wireless communication.

In the above-described embodiment, the residual urine measuring device 1 has the display section 6, but the display section 6 may not necessarily be provided. For example, when a doctor examines and confirms/diagnoses information related to measured values, it is sufficient to record time-series data for a certain period of time.

On the other hand, in the world of nursing care, the residual urine measuring device 1 is worn continuously for a relatively long period of time, not for a short period of one or two days as in medical care. Therefore, if the residual urine measuring device 1 has the display unit 6, the caregiver can see and confirm the current residual urine amount of the person being measured/cared for.

In addition, it is preferable that the information obtained by the urination information analyzer is sent to the residual urine measuring device 1, and the residual urine measuring device 1 notifies based on the sent information and the measurement result of the ultrasonic sensor 3. For the process of sending the information obtained by the urination information analyzer to the residual urine measuring device 1, for example, an SD memory card or a wireless communication system may be used. The information to be sent in this case may be all of the information obtained by the urination information analyzer, or may be a part of the information, such as the amount of urine in the bladder just before urination. In the case of the amount of urine in the bladder just before urination, when the current amount of urine in the bladder of the person to be measured and the amount of urine in the bladder just before urination that was sent have a predetermined relationship, the residual urine measuring device 1 , it is good to notify the urination prediction notification. When the urination prediction notification is notified, the caregiver or the like goes to the person to be measured (cared person) and performs a predetermined urination process. Predetermined processing includes, for example, confirmation of the presence or absence of urination, prompting of urination, and diaper change processing when the care-receiver is wearing a diaper and urinating. The standard for notifying the urination prediction notification is, for example, that the current urine volume in the bladder is a value lower than the acquired urine volume in the bladder just before urination in the past by taking a predetermined margin, and notification is made at the timing when there is a possibility that urination will soon occur. or set the current urine volume in the bladder to a value higher than the previous urine volume in the bladder just before urination by taking a predetermined margin, and notify at the timing when there is a possibility that urination is about to occur. It is good to have a function that can change the criteria according to the situation of the care receiver. If there is a function for notifying urination in this way, it is good because it is possible to know when it is time to change diapers, especially for a bedridden person.

Further, in the above-described embodiment, an example in which the urination information analysis device is implemented in a personal computer has been described, but the present invention is not limited to this, and may be configured with, for example, dedicated hardware, smartphones, tablets, etc. It may be implemented in a mobile terminal such as When implementing on a mobile terminal, it is better to realize it as an application for mobile terminals that executes the analysis function. Furthermore, such an analysis function may be incorporated into the residual urine measuring device.

When it is realized as an app, an app with the analysis function is installed on a smartphone, data is sent as appropriate from the residual urine measuring device using a wireless communication method, etc., the app analyzes the acquired data, and collects the necessary information. Please notify me in time.

When incorporated into a residual urine measuring device, the urination measuring device measures the amount of urine in the bladder (residual urine volume) as a regular process at each sampling time, creates time-series data, and measures it at appropriate timings. Analysis processing is performed based on the collected data to obtain information necessary for urination support. And more preferably, it is good to have the notification function which performs the above-mentioned notification based on the obtained information.

Various aspects of the present invention have been described above using embodiments and modifications, but these embodiments and descriptions are not intended to limit the scope of the present invention, but to aid in understanding the present invention. Please note that it is provided for your convenience. The scope of the invention is not limited to the constructions or methods of manufacture explicitly described herein, but rather includes within its scope combinations of the various aspects of the invention disclosed herein. While the claimed features of the invention are identified in the appended claims, any configuration not presently specified in the claims is disclosed herein. For the sake of clarity, it is possible that such a configuration may be claimed in the future.

1: Residual urine measuring device 2: SD memory card 3: Ultrasonic sensor 4: Control unit 5: Memory card slot 6: Display unit 10: Urination information analyzer 11: Control unit 12: Memory card slot 13: Display unit 14: Storage unit 15: input unit

Claims (6)

a function of obtaining the difference between the urine volumes in the bladder before and after the object to be compared based on the obtained time-series data of the urine volume in the bladder, and selecting a plurality of candidates for urination having a large differential urine volume;
For each of the plurality of selected urination candidates, the speed at which the urine volume in the bladder increases thereafter is obtained, and if the speed exceeds a standard, the urination candidate that exceeds the standard is deleted. function and
A urination information analysis device characterized by having a function of determining a timing of urination based on the urination candidates left without being deleted. Each measurement value that constitutes the time-series data of the urine volume in the bladder is removed, and a process of selecting the urination candidate is performed on the time-series data of the urine volume in the bladder after the removal. 2. The urination information analysis device according to claim 1, characterized in that: In the section where each measured value constituting the time-series data of the urine volume in the bladder is continuously decreasing, the intermediate measured values other than the beginning and the end of the decrease are removed, and the urine in the bladder after the removal is removed. 3. The urination information analysis apparatus according to claim 1, wherein processing for selecting the urination candidate is performed on the time-series data of volume. It is characterized by having a function of determining at least one of the amount of urine associated with urination, the amount of residual urine immediately after urination, and the amount of stored urine immediately before urination based on the amount of urine in the bladder at the determined time of urination. The urination information analysis device according to any one of claims 1 to 3. A program for causing a computer to implement the functions used in the urination information analysis device according to any one of claims 1 to 4. a measuring device that measures and records the urine volume in the bladder at regular intervals while being attached to the subject for a certain period of time;
A urination information analysis device according to any one of claims 1 to 4,
A urination information analysis system, wherein the time-series data of the amount of urine in the bladder analyzed by the urination information analyzer is data measured and recorded by the measuring device.

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