JP2017006596A - Determination support program, determination support method, and determination support device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide information capable of determining a symptom about incontinence with accuracy higher than the conventional one as one aspect.SOLUTION: A determination support device 30 generates determination support information to be utilized to determine an incontinence symptom of an incontinence monitoring object person on the basis of the earliest incontinence time having the earliest incontinence time among a plurality of incontinence times of each collection time collected within a prescribed period including a plurality of collection periods from a predetermined start time till an end time.SELECTED DRAWING: Figure 6

Description

  The disclosed technology relates to a determination support program, a determination support method, and a determination support apparatus.

  In recent years, for children who have incontinence during sleep, such as children who tend to have night urine, a warning sound is sounded while sleeping, etc. Alternatively, a method for treating nocturnal enuresis that allows children to urinate is proposed.

  In the treatment for nocturnal enuresis, the average night urine volume, the average number of night urine and the average night urine time for each month of a child or the like are calculated, and the therapeutic effect is verified.

Haneda Atsuko and Ishimori Shingo, “The Treatment of Nocturnal Enuresis by Alarm Therapy,” Enuresis Research, Japanese Society of Enuresis, June 2008, Vol. 13, p. 13-17

  However, with the proposed method, for example, if any of the information items related to incontinence such as the average amount of night urine is focused on, it is possible to accurately determine incontinence symptoms such as the degree of incontinence improvement. There is no suggestion about what will happen.

  In one aspect, the disclosed technique aims to provide information that can determine symptoms related to incontinence with higher accuracy than before.

  In one aspect, the processing program causes the computer to monitor the incontinence based on the earliest incontinence time that is the earliest incontinence time among a plurality of incontinence times collected within a predetermined period including a plurality of collection periods. Decision support information used to determine the incontinence symptoms of a person is generated.

  As one aspect, there is an effect that information capable of determining symptoms related to incontinence can be provided with higher accuracy than before.

It is a figure which shows an example of the relationship between the incontinence incidence rate of several patients in a predetermined period, and the earliest incontinence time. It is a figure which shows an example of the relationship between the incontinence incidence rate of several patients in a predetermined period, and the dispersion | variation in incontinence time. It is a figure which shows an example of the relationship between the incontinence incidence rate for every patient, and incontinence time when the incontinence time is shown by the relative time from the bedtime of the patient. It is a figure which shows an example of the relationship between the incontinence incidence rate for every patient, and incontinence time using the relative time from incontinence time to wake-up time. It is a figure which shows an example of the relationship between the incontinence incidence rate for every patient, and incontinence time when the incontinence time is shown in absolute time. It is a figure which shows an example of a structure of the judgment support system of the incontinence symptom which concerns on 1st Embodiment. It is a figure which shows an example of a structure in the case of implement | achieving the judgment assistance apparatus which concerns on 1st Embodiment with a computer. It is a flowchart which shows an example of the flow of a judgment assistance information output process. It is a figure which shows the example of incontinence time recording DB. It is a figure which shows an example of a time dispersion | distribution coordinate surface. It is a figure which shows an example of the graph which shows the change of an improvement index. It is a figure which shows an example of a structure of the judgment support system of the incontinence symptom which concerns on 2nd Embodiment. It is a figure which shows an example of a structure in the case of implement | achieving the judgment assistance apparatus which concerns on 2nd Embodiment with a computer. It is a flowchart which shows an example of the flow of the warning output process which concerns on 2nd Embodiment. The flowchart showing an example of the flow of an improvement degree function production | generation process is shown. It is a figure which shows an example of the improvement function of incontinence. It is a flowchart which shows an example of the flow of an incontinence time recording process. It is a figure which shows an example of a structure of the judgment support system of the incontinence symptom which concerns on 3rd Embodiment. It is a figure which shows an example of a structure in the case of implement | achieving the judgment assistance apparatus which concerns on 3rd Embodiment with a computer. It is a flowchart which shows an example of the flow of the warning output process which concerns on 3rd Embodiment. It is a flowchart which shows an example of the flow of an improvement degree function correction process. It is a figure which shows the example of correction | amendment DB. It is a schematic diagram explaining an example of correction | amendment of an improvement degree function.

  Hereinafter, an example of an embodiment of the disclosed technology will be described in detail with reference to the drawings. In addition, the same code | symbol may be provided to the component or process which bears the same function through all the drawings, and the overlapping description may be abbreviate | omitted suitably.

  The inventors examined the relationship between incontinence incidence during sleep and the earliest incontinence time among various data on incontinence, particularly incontinence in patients with night urine tendency.

  Here, the earliest incontinence time is the earliest incontinence time in the collection period among the incontinence times of each collection period within a predetermined period including a plurality of incontinence time collection periods from a predetermined start time to an end time. Say things. This collection period is set to include the bedtime of the patient at night, for example, once a day. Therefore, the incontinence time within the collection period can be referred to as the daily incontinence time within the predetermined period.

  Further, the predetermined start time is not limited to midnight, and may be another time before the scheduled bedtime of the patient, for example, 18:00. The predetermined end time may be set to any time as long as it is after the scheduled wake-up time of the patient. Moreover, there is no restriction | limiting in particular in the length of a predetermined period.

  FIG. 1 is a diagram showing an example of the relationship between the incontinence incidence rate and the earliest incontinence time of a plurality of patients within a predetermined period. Each point shown in FIG. 1 indicates the incontinence incidence rate and the earliest incontinence for each individual patient. It represents the time.

  The inventors calculated the correlation coefficient between the incontinence occurrence rate for each patient and the earliest incontinence time shown in FIG. 1 and obtained a result showing a strong correlation. That is, the inventor has found that there is a negative correlation between the incontinence occurrence rate and the earliest incontinence time, and the earliest incontinence time tends to be delayed as the incontinence occurrence rate decreases. The average incontinence time also showed a negative correlation with the incontinence rate, but the earliest incontinence time showed a stronger correlation.

  In addition, the inventors examined the relationship between the incontinence incidence within a predetermined period and the variation in incontinence time.

  FIG. 2 is a diagram showing an example of the relationship between the incontinence rate of a plurality of patients within a predetermined period and the variation in incontinence time. Each point shown in FIG. 2 indicates the incontinence rate and incontinence for each individual patient. It represents the time variation. Here, as an example of an index indicating variation in incontinence time, a variance value σ of incontinence time is used. The variance value σ is an index indicating the variation of each incontinence time with respect to the average value of daily incontinence times during a predetermined period.

  The inventors calculated the correlation coefficient between the incontinence incidence rate for each patient and the variation in incontinence time shown in FIG. 2, and obtained a result showing a strong correlation. In other words, the inventors have a positive correlation between the incontinence rate and the variation in incontinence time, and the incontinence time variation increases as the incontinence rate increases. It has further been found that the variation in incontinence time decreases as the rate decreases.

  Therefore, by using at least one of the earliest incontinence time and the variation of the incontinence time, it is possible to provide information with which the patient's symptoms related to incontinence can be determined with higher accuracy than in the past.

  Furthermore, the inventors considered the relationship between the incontinence occurrence rate and the incontinence time from various viewpoints.

  FIG. 3 is a diagram showing an example of the relationship between the incontinence occurrence rate for each patient and the incontinence time when the incontinence time is expressed as a relative time from the bedtime of the patient. FIG. It is a figure which shows an example of the relationship between the incontinence incidence rate and incontinence time for every patient using relative time until. FIG. 5 is a diagram showing an example of the relationship between the incontinence occurrence rate and the incontinence time for each patient when the incontinence time is indicated by the time when the incontinence is made, that is, the absolute time.

  3 to 5, the symbols “A” to “K” represent patient IDs (identification) for identifying individual patients, and each patient's incontinence is represented by a plot circle having a pattern corresponding to each patient ID. The relationship between incidence and incontinence time is shown. The size of the plot circle represents the number of incontinences at the corresponding incontinence time, and the size of the plot circle increases as the number of incontinences increases. Moreover, the straight line 90 of FIG. 3, the straight line 91 of FIG. 4, and the straight line 92 of FIG. 5 represent the regression line calculated | required using the least squares method, for example from the incontinence incidence rate and earliest incontinence time for every patient in each figure. .

  As a result of changing the definition of incontinence time and examining the relationship between the incontinence rate and the earliest incontinence time, the inventors found that the incontinence rate and the earliest incontinence time had the highest correlation It was found that the time is expressed in absolute time. This is because bedtime varies from patient to patient.For example, if the patient is a schoolchild or the like, the wake-up time tends to be concentrated in a specific time zone because of the start time of the school. It is done.

  Based on the knowledge shown above, hereinafter, an embodiment of a determination support apparatus that presents information that can determine symptoms related to incontinence with higher accuracy than before by using variations in the earliest incontinence time and incontinence time of the patient will be described. .

(First embodiment)
FIG. 6 is a diagram illustrating an example of the configuration of the incontinence symptom determination support system 1 according to the first embodiment. The determination support system 1 includes a wearable sensor 10, an information terminal 20, and a determination support device 30. The wearable sensor 10 and the information terminal 20 are connected via a communication line 50, and the information terminal 20 and the determination support apparatus 30 are connected via a communication line 51.

  Although FIG. 6 shows an example in which one information terminal 20 is connected to the determination support apparatus 30, a plurality of information terminals 20 can be connected to the determination support apparatus 30. The number of wearable sensors 10 that can be connected to the information terminal 20 is not limited, and a form in which the wearable sensors 10 are not connected to the information terminal 20 and a form in which a plurality of wearable sensors 10 are connected to the information terminal 20 are also possible. is there.

  In the example of FIG. 6, the wearable sensor 10 is connected to the determination support apparatus 30 via the information terminal 20, but the wearable sensor 10 may be directly connected to the determination support apparatus 30.

  There is no limitation on the line types of the communication line 50 and the communication line 51, and any line type such as an Internet line, an intranet line, or a dedicated line may be used, and the connection form is wired, wireless, or wired and wireless. Any type of connection, such as mixing with

  The wearable sensor 10 is an electronic device that detects incontinence of a patient, and includes a transmission unit 11 and a urine sensor 12. The wearable sensor 10 is worn or carried by a patient who has incontinence, in particular, a night urine tendency.

  The urine sensor 12 is connected to the transmission unit 11. When the urine sensor 12 detects incontinence, the urine sensor 12 transmits information indicating that incontinence has been detected, that is, incontinence detection information to the transmission unit 11.

  The transmission unit 11 includes, in the incontinence detection information received from the urine sensor 12, the date and time when the incontinence detection information is received, that is, the date (incontinence date) and time (incontinence time) when the patient was incontinent, and the transmission source of the incontinence detection information. Is transmitted to the information terminal 20 including the transmission source ID that uniquely indicates

  In addition, the urine sensor 12 may transmit the incontinence detection information to the transmission unit 11 after previously including information on the incontinence date and the incontinence time and the transmission source ID in the incontinence detection information.

  On the other hand, the information terminal 20 is installed in, for example, a patient's home or a medical institution that examines the patient, and executes input / output and processing of various information related to the patient's incontinence.

  The information terminal 20 includes a sensor data receiving unit 21, a sensor data transmitting unit 22, an input unit 23, an information terminal transmitting unit 24, a display unit 25, and a determination support information receiving unit 26.

  The sensor data reception unit 21 is connected to the transmission unit 11 and the sensor data transmission unit 22 of the wearable sensor 10 and outputs the incontinence detection information received from the transmission unit 11 to the sensor data transmission unit 22.

  The sensor data transmission unit 22 is connected to the sensor data reception unit 21 and the collection recording unit 31 of the determination support apparatus 30 described later, and transmits the incontinence detection information received from the sensor data reception unit 21 to the collection recording unit 31.

  The input unit 23 is connected to the information terminal transmission unit 24, receives input information input from an input device such as a touch panel, a keyboard, and a mouse, and outputs the received information to the information terminal transmission unit 24.

  The information terminal transmission unit 24 is connected to the input unit 23 and the collection recording unit 31 of the determination support apparatus 30 described later, and transmits the input information received from the input unit 23 to the collection recording unit 31.

  The display unit 25 is connected to the determination support information receiving unit 26 and displays information received from the determination support information receiving unit 26 on a display device such as a display.

  The determination support information receiving unit 26 is connected to the display unit 25 and a determination support information output unit 33 of the determination support apparatus 30 described later, and outputs information received from the determination support information output unit 33 to the display unit 25. Details of the information received from the determination support information output unit 33 will be described later.

  On the other hand, the determination support device 30 is installed in, for example, a data center connected to the communication line 51, records the patient's incontinence time transmitted from the information terminal 20, and based on the earliest incontinence time for each patient, Judgment support information used to determine incontinence symptoms is generated. In addition, there is no restriction | limiting in the installation place of the judgment assistance apparatus 30, For example, you may install in the same place as the information terminal 20. FIG.

  The determination support device 30 includes a storage unit that stores a collection recording unit 31, a generation unit 32, a determination support information output unit 33, and an incontinence time recording DB (Database) 38.

  The collection recording unit 31 is connected to the sensor data transmission unit 22 and the information terminal transmission unit 24 of the information terminal 20 and receives patient incontinence detection information and input information. Furthermore, the collection recording unit 31 is connected to the incontinence time recording DB 38 included in the generation unit 32 and the storage unit 40. For example, based on the patient incontinence detection information received from the information terminal 20, the patient incontinence time is determined for each patient. Record in the incontinence time record DB 38. Further, the collection / recording unit 31 outputs, for example, input information received from the information terminal 20 to the generation unit 32.

  The generation unit 32 is connected to a storage unit 40 that stores the collection recording unit 31, the determination support information output unit 33, and the incontinence time recording DB 38.

  When receiving the input information instructing the generation of the determination support information from the collection recording unit 31, the generation unit 32 acquires the incontinence time of the patient specified by the input information from the incontinence time recording DB 38. And the production | generation part 32 produces | generates the judgment assistance information regarding a patient's incontinence symptom from the variation | variation of the earliest incontinence time and incontinence time in a predetermined period calculated based on the patient's incontinence time. Then, the generation unit 32 outputs the generated determination support information to the determination support information output unit 33.

  The incontinence time record DB 38 is a database that records the daily incontinence time of each patient.

  Here, the database refers to a management form in which information is centrally managed and information is managed using a data structure suitable for information reuse, such as information search or extraction. Therefore, for example, when the determination support apparatus 30 is realized by a computer, the incontinence time recording DB 38 may be constructed in a file system provided by an OS (Operating System) used in the computer, or dedicated to providing a DB function. It may be constructed using software.

  The determination support information output unit 33 is connected to the generation unit 32 and the determination support information reception unit 26 of the information terminal 20, and outputs the determination support information received from the generation unit 32 to the determination support information reception unit 26.

  Next, FIG. 7 shows a configuration diagram when the determination support apparatus 30 is realized by a computer.

  The computer 100 includes a CPU 102, a memory 104, and a nonvolatile storage device 106. The CPU 102, the memory 104, and the nonvolatile storage device 106 are connected to each other via a bus 108. The computer 100 also includes an input / output (I / O) 110 for connecting the input device 112 and the communication device 114 to the computer 100 and transmitting / receiving data to / from each other. The I / O 110 is connected to the bus 108. Is done.

  The input device 112 includes an input device for giving an instruction to the computer 100 by an operator of the computer 100 such as a keyboard and a mouse. The input device 112 includes a reading device for reading data recorded on the recording medium 116 such as a CD-ROM or a flash memory.

  The communication device 114 includes an interface for connecting to the communication line 51, and performs data transmission / reception with the information terminal 20 connected to the communication line 51, for example.

  The storage device 106 can be realized by an HDD (Hard Disk Drive) or a flash memory.

  The storage device 106 stores a determination support program 120 for causing the computer 100 to function as the determination support device 30 shown in FIG. The determination support program 120 stored in the storage device 106 includes a collection recording process 122, a generation process 124, and a determination support information output process 126.

  The CPU 102 reads out the determination support program 120 from the storage device 106, expands it in the memory 104, and executes each process included in the determination support program 120.

  The CPU 102 reads out the determination support program 120 from the storage device 106, expands it in the memory 104, and executes the determination support program 120, whereby the computer 100 operates as the determination support device 30 shown in FIG.

  Further, when the CPU 102 executes the collection recording process 122, the computer 100 operates as the collection recording unit 31 shown in FIG. Further, when the CPU 102 executes the generation process 124, the computer 100 operates as the generation unit 32 illustrated in FIG. Further, when the CPU 102 executes the determination support information output process 126, the computer 100 operates as the determination support information output unit 33 shown in FIG.

  Further, the CPU 102 expands the incontinence time information stored in the incontinence time record information storage area 140 into the memory 104, whereby the incontinence time record DB 38 is stored in the memory 104. Further, the CPU 102 expands the value stored in the threshold information storage area 142 in the memory 104, so that a constant such as a threshold used in the computer 100 is stored in the memory 104.

  The computer 100 can be realized by, for example, a semiconductor integrated circuit, more specifically, an ASIC (Application Specific Integrated Circuit) or the like.

  Next, the operation of the determination support apparatus 30 according to the first embodiment will be described. The determination support apparatus 30 according to the first embodiment executes the determination support information output process when receiving input information for instructing output of the determination support information from the information terminal 20 together with the patient ID, for example.

  FIG. 8 is a flowchart illustrating an example of the flow of the determination support information output process of the determination support apparatus 30. Note that the incontinence time record DB 38 of the determination support apparatus 30 stores incontinence time for a predetermined period for each patient in advance.

  First, in step S <b> 10, the generation unit 32 acquires the incontinence time for each day within a predetermined period of the patient represented by the patient ID from the incontinence time recording DB 38 and stores the incontinence time in a predetermined area of the memory 104, for example. Note that there is no restriction on the length of the predetermined period, and a period such as two weeks or one month is set as appropriate.

  FIG. 9 is a diagram illustrating an example of the incontinence time record DB 38. In FIG. 9, as an example, incontinence time information of a single patient is shown, but incontinence time information DB 38 stores incontinence time information of a plurality of patients for each patient.

  As shown in FIG. 9, the incontinence time record DB 38 stores, for each patient, incontinence time information in which the date indicating the date of incontinence and the incontinence time indicating the time of incontinence are associated in the row direction. It is a database. In the example of FIG. 9, information indicating that a patient was incontinent at, for example, 1:00 on June 1, 2015 is included. The incontinence time is expressed as an absolute time in a 24-hour system in which 0:00 am is “0:00” and 11:59 pm is “23:59”. The incontinence time “-” indicates that there was no incontinence on that day.

  Since the decision support device 30 outputs information that can determine symptoms related to incontinence, particularly night urine, incontinence time information during sleeping is recorded in the incontinence time record DB 38. Accordingly, the incontinence time for each patient is included in the time period (sleeping time period) from the time when the patient goes to bed most early in the predetermined period to the time when the patient gets up the latest.

  In step S20 of FIG. 8, the generation unit 32 calculates the earliest incontinence time x of the patient designated by the information terminal 20 in the predetermined period and the variance value y of the incontinence time representing the variation of the incontinence time in the predetermined period. Calculated from the incontinence time acquired in S10. The earliest incontinence time x is expressed as an absolute time. The earliest incontinence time x in a predetermined period refers to the incontinence time having the earliest incontinence time in the collection period among the incontinence times for each of a plurality of collection periods included in the predetermined period.

In step S < _b > 30, the generation unit 32 acquires a predetermined time T < _b > ₁ in the sleeping time period, which represents a time before the predetermined time T < _b > _{2 in} the sleeping time period, from a predetermined area of the memory 104. . Note that the time T ₁ and the time T ₂ are both represented by an absolute time in a 24-hour system.

As already explained, as the patient's earliest incontinence time becomes late, the patient's incontinence incidence tends to decrease. Therefore, the time T ₁ is set to a time when the patient's earliest incontinence time x is earlier than the time T ₁ so that the degree of incontinence treatment effect on the patient, that is, the degree of improvement of incontinence symptoms can be regarded as small. Is done.

The generation unit 32 determines the sleeping hours of the patient, longer incontinent time x calculated in step S20 is, whether it is earlier than the time T _1. In the case of an affirmative determination, the process proceeds to step S70, and in step S70, the generation unit 32 sets the improvement index indicating the improvement of the patient's incontinence symptoms to “small”, and the setting is a predetermined area of the memory 104. To remember.

  On the other hand, if the determination process in step S30 is negative, the process proceeds to step S40.

In step S < _b > 40, the generation unit 32 acquires time T < _b > ₂ from a predetermined area of the memory 104. Time T ₂ are, in the case longer incontinent time x the patient is time T _2, and later, is set to the time that can be regarded as a large improvement in the patient's incontinence.

The generation unit 32, in the sleeping time zone of the patient, longer incontinent time x is calculated in step S20 is, it is determined whether or not earlier than the time T _2, when the affirmative determination, the process proceeds to step S50 . In this case, since the earliest incontinence time x of the patient is after the time T ₁ and before the time T ₂ , the generation unit 32 sets the patient improvement index to “medium” in step S50, The setting is stored in a predetermined area of the memory 104.

On the other hand, if the determination process in step S40 is negative, the process proceeds to step S60. In this case, since the longer incontinent time x of the patient is a time T _2, and later, in step S60, generating unit 32, the improvement index of the patient is set to "large", predetermined to the setting in the memory 104 area To remember.

Note that the times T ₁ and T ₂ are values stored in advance in the threshold information storage area 142 shown in FIG. 7, for example, and developed in the memory 104 by the CPU 102.

Further, in step S80, the generation unit 32 acquires a predetermined dispersion value σ ₁ representing a dispersion value smaller than the predetermined dispersion value σ ₂ from a predetermined area of the memory 104.

This indicates that the incontinence time is more concentrated in a specific time zone as the variance value of the incontinence time becomes smaller. Accordingly, the variance value σ ₁ is regarded as having a high degree of incontinence of the patient in a specific time zone, that is, the habit of incontinence when the variance value representing the variation in incontinence time of the patient is smaller than the variance value σ _1. Is set to a value that allows

Then, the generation unit 32 determines whether or not the variance value y of the incontinence time calculated in step S20 is smaller than the variance value σ ₁ . In the case of an affirmative determination, the process proceeds to step S120, and in step S120, the generation unit 32 sets an addictive index indicating the degree of habituation of incontinence of the patient to “large”, and the setting is predetermined in the memory 104. Store in the area.

  On the other hand, if the determination process in step S80 is negative, the process proceeds to step S90.

In step S < _b > 90, the generation unit 32 acquires the variance value σ ₂ from a predetermined area of the memory 104. The variance value σ ₂ is set to such a value that the patient's incontinence habit can be regarded as being small when the variance value representing the variation of the patient's incontinence time is equal to or greater than the variance value σ ₂ .

Then, the generation unit 32 determines whether or not the variance value y of the incontinence time calculated in step S20 is smaller than the variance value σ _2. If the determination is affirmative, the process proceeds to step S100. In this case, since the variance value y of the patient's incontinence time is not less than the variance value σ ₁ and less than the variance value σ ₂ , the generating unit 32 sets the patient's habitualness index to “medium” in step S100. And the setting is stored in a predetermined area of the memory 104.

On the other hand, if the determination process in step S90 is negative, the process proceeds to step S110. In this case, since the variance value y of the patient's incontinence time is equal to or greater than the variance value σ ₂ , the generation unit 32 sets the patient's habitualness index to “small” in step S 110 and sets the setting in the memory 104. Store in a predetermined area.

The variance values σ ₁ and σ ₂ are values stored in advance in the threshold information storage area 142 shown in FIG. 7, for example, and developed in the memory 104 by the CPU 102.

  In step S <b> 130, the generation unit 32 acquires the setting values of the patient improvement index and the habitualness index from the memory 104, the patient improvement index is “small”, and the patient habituality index is “ It is determined whether it is “large”. And in affirmation determination, it transfers to step S140.

  If the determination process in step S130 is affirmative, the incontinence of the patient has not progressed from the viewpoint of the earliest incontinence time x and the incontinence is a specific time even though the improvement index is “small”. It shows that there is a tendency to concentrate on the belt. That is, for example, the patient can consider the existence of other causes other than nocturnal enuresis, such as the habit of taking water before going to bed, the coldness of limbs, or the possibility of a disease in the kidney or the like.

  Accordingly, in step S140, the generation unit 32 determines a message such as a predetermined alert (for example, “other diseases may be considered) corresponding to the case where the improvement index is“ small ”and the addictive index is“ large ”. Is obtained from a predetermined area of the memory 104. And the production | generation part 32 outputs the acquired message and each setting value of an improvement index and a habitualness index to the judgment assistance information output part 33 as judgment assistance information, for example.

  The determination support information output unit 33 outputs the determination support information received from the generation unit 32 to the determination support information reception unit 26 of the information terminal 20 so that a doctor who browses the information terminal 20 can determine symptoms related to incontinence. Present information.

  In the example of FIG. 8, the determination support apparatus 30 sets both the patient improvement index and the habitual index, but sets either the improvement index or the habitual index and obtains it from the set index. A message such as a warning message may be output to the information terminal 20.

  The determination support information output process shown in FIG.

FIG. 10 is a diagram illustrating an example of a time distribution coordinate plane in which the horizontal axis represents the earliest incontinence time of the patient and the vertical axis represents the variance value of the patient incontinence time. The time dispersion coordinate plane 55 is divided into nine regions 61 to 69 by the times T ₁ and T ₂ and the dispersion values σ ₁ and σ ₂ .

Earliest incontinence time x is the time prior to the time T _1, the area indicated by the area 61, 64, and 67 is an area where improvement indicator is set to "small". Also, longer incontinence time x the time T ₁ after, and at the same previous time from the time T _2, the region area indicated by regions 62 and 65, and 68, improvement indicator is set to "medium" It is. Also, incontinent time x is time T _2, after the time longer, the area indicated by the area 63, 66, and 69 is an area where improvement indicator is set to "large".

In addition, the areas indicated by the areas 67, 68, and 69 in which the variance value y of the incontinence time is smaller than the variance value σ ₁ are areas in which the addictive index is set to “large”. An area indicated by the areas 64, 65, and 66 in which the variance value y of the incontinence time is equal to or larger than the variance value σ ₁ and smaller than the variance value σ ₂ is an area in which the addictive index is set to “medium” It is. In addition, areas indicated by areas 61, 62, and 63 in which the variance value y of the incontinence time is equal to or greater than the variance value σ ₂ are areas in which the addictive index is set to “small”.

  That is, the determination process in step S130 of FIG. 8 determines whether or not the incontinence symptom of the patient is included in the region 67.

  In FIG. 8, as an example, the determination support information output process for outputting the determination support information including a message such as alerting when the patient's incontinence symptoms are included in the region 67 is shown. It is not limited to this. You may make it output the judgment assistance information containing a different message for every area | region 61-69 in which a patient's incontinence symptom is included.

  For example, the determination support apparatus 30 stores in the memory 104 a predetermined message corresponding to each of the areas 61 to 69 and supporting the determination of the patient's incontinence symptoms. Then, the determination support device 30 sends a message corresponding to the area where the point on the time distribution coordinate plane 55 is represented by the combination of the earliest incontinence time x of the patient and the variance value y of the incontinence time from the memory 104. get. Then, the determination support device 30 may output determination support information including, for example, the acquired message and each setting value of the patient improvement degree index and the habitualness index to the information terminal 20.

As shown in FIG. 10, for example, it is assumed that a point P ₀ represented by a combination of the earliest incontinence time x of the patient and the variance value y of the incontinence time is located in the region 69. In this case, since both the improvement index and the habitualness index are “large”, the determination support device 30 includes determination support information including a message indicating that “incontinence symptoms are improved and being cured” You may output to the information terminal 20.

  The determination support device 30 does not receive input information for instructing output of the determination support information from the information terminal 20, for example, once a day, preferably a time period that is different from the sleeping time period of each patient. For example, the determination support information output process shown in FIG. 8 may be executed.

  Specifically, the determination support device 30 executes the determination support information output process shown in FIG. 8 for all patients whose incontinence times are recorded in the incontinence time recording DB 38, and the degree of improvement calculated for each patient. The index is stored in a predetermined area of the memory 104 in time series. In this case, the determination support apparatus 30 does not execute the processes of steps S130 and S140 shown in FIG. This is to prevent the determination support apparatus 30 from unilaterally transmitting the determination support information to the information terminal 20 even though there is no input information for instructing the output of the determination support information from the information terminal 20. .

  As described above, by storing the improvement index for each patient in the memory 104 in time series, the time series change of the improvement index can be displayed on the information terminal 20.

  For example, when outputting the determination support information of the designated patient to the information terminal 20 in step S140 shown in FIG. 8, the determination support device 30 performs each of the designated patients from the current time to a predetermined number of days before. The improvement index for the day is acquired from the memory 104. Then, the determination support device 30 may include the acquired improvement index for each day in the determination support information and transmit it to the information terminal 20.

  The information terminal 20 may present information for supporting, for example, whether or not the doctor continues the current treatment method by displaying a time-series change of the improvement index of the designated patient in a graph or the like. it can.

  In addition to the time series data of the improvement index of the patient designated by the information terminal 20, the determination support device 30 further uses the improvement index of another patient similar to the change of the improvement index of the patient. The series data may be transmitted to the information terminal 20. Note that a known graph matching method can be used to determine the similarity of the improvement index.

  FIG. 11 is a diagram illustrating an example of a graph indicating changes in the improvement index displayed on the information terminal 20. The graph 56 shows the change in the improvement index for each day from the present time of the patient designated on the information terminal 20 to the predetermined number of days before, and the graph 57 shows the improvement degree of the patient designated on the information terminal 20. It shows a change in the improvement index of other patients similar to the change in the index. The graph 57 is displayed at a position where the degree of similarity with the graph 56 is the highest when the graph 57 is moved along the time axis by a predetermined amount of movement.

  Therefore, for example, there is an explanation that, for example, if the treatment is continued for the patient specified by the information terminal 20 by the doctor, the improvement index can be expected to increase in the future like other patients shown in the graph 57. It is possible to improve the patient's motivation to continue treatment.

  In addition, although the example which calculates the improvement index for every patient along a time series and displays the change of an improvement index with a graph was shown, it cannot be overemphasized that the same process may be performed about an addictive index.

  As described above, according to the first embodiment, the determination support device 30 calculates the earliest incontinence time x and the variance value y of the incontinence time within a predetermined period of the patient designated by the information terminal 20. The determination support device 30 is estimated from the improvement index and habitual index of the patient incontinence, the improvement index and the habitual index set from the incontinence time x and the variance value y of the incontinence time. Determination support information including information useful for determining incontinence symptoms is transmitted to the information terminal 20.

  Since the earliest incontinence time x and the variance value y of the incontinence time are both correlated with the incontinence occurrence rate, it is possible to present information that can determine symptoms related to incontinence with higher accuracy than before.

(Second Embodiment)
For example, as described in Non-Patent Document 1, conventionally, as an improvement technique for incontinence of a patient, particularly night urine, while a patient is sleeping, a warning such as an alarm sound is output to wake up the patient, There is a known technique for causing a patient to go to the toilet.

  In such a method, for example, the incontinence time of the patient is estimated, and the patient is woken up by an alarm sound or the like before the estimated incontinence time (estimated incontinence time), and the patient is given a habit of urinating in the toilet. Improve incontinence symptoms.

  Incontinence time estimation methods include, for example, the amount of water taken by the patient, the time of water intake, the urine production rate, the cumulative sweating from the time of water intake, and the amount of urine in the bladder at the time of water intake There is a method for estimating the incontinence time of the patient based on the urine volume in the patient's bladder. Therefore, an example of a method for estimating the patient's incontinence time will be described below.

  The patient's bladder urine volume B (t) at the time t after the water intake when the time when the water is taken is set as the reference time, that is, “t = 0”, is expressed by the following equation (1).

  Here, W (t) is the amount of water taken from the reference time to time t (water intake), N (t) is the patient's urine production rate at time t, and F (t) is the reference This represents the cumulative amount of sweating from time to time t. B (0) represents the urinary bladder volume of the patient at the reference time.

  Further, the urine production rate N (t) can be calculated by equation (2).

  Here, “c” is a disease type coefficient of the patient and is a coefficient indicating the function of the patient's antidiuretic hormone. The smaller the value of the disease type coefficient, the stronger the action of the antidiuretic hormone and the lower the urine production rate N (t).

  For example, when the patient is active, that is, when the patient is not sleeping, “c = 1”, the patient is sleeping, and the patient is active even if the patient's disease type is polyuria or mixed. As in the case of “c = 1”, “c = 1”.

  Originally, the antidiuretic hormone secreted during sleep is approximately twice that of the antidiuretic hormone secreted during activity, and the amount of urine produced is suppressed compared to that during activity. However, if the patient's morbidity is polyuria or mixed, the amount of antidiuretic hormone secreted may decrease even during sleep, and only the same amount of antidiuretic hormone may be secreted as during activity, The same disease type factor applies.

  On the other hand, when the patient is sleeping and the patient's disease type is bladder type, “c = 0.6”. This is because when the disease type is the bladder type, the function of adjusting the size of the bladder by the action of the autonomic nerves is often impaired, and the amount of antidiuretic hormone secreted during sleep is normal It is.

In the formula (2), a represents the speed of urine generation. For example, if at time t ₁ and the patient urinated, intravesical urine volume B _t1 of the patient immediately before urination at time t _1, since it is considered to be the same as the urine of the patient at the time t _1, the patient's bladder The amount of internal urine B _t1 is expressed by equation (3).

Here, W is the amount of water ingested at the reference time. T represents the elapsed time from the reference time to time t ₁ , and F _t1 is the cumulative sweating amount from the reference time to time t ₁ . Further, as already described, the intravesical urine volume B _t1 can be regarded as the patient's urinary output at time t _1, and is thus obtained by measuring the patient's urinary output. Accordingly, the urine production speed a can be calculated from the equation (4) obtained by modifying the equation (3).

  That is, the urine production rate N (t) is obtained from the patient's disease type, average sweating amount, water intake, urination amount, and time information.

  The cumulative sweat amount F (t) is also a value obtained from the average sweat amount of the patient. Furthermore, the urinary bladder volume B (0) of the patient at the reference time is obtained by recursively calculating equation (1). Each time the patient urinates, the urine volume in the patient's bladder is “0”.

  Therefore, the patient's bladder urine volume B (t) at time t can be estimated from the patient's disease type, average sweating volume, water intake, urination volume, and time information, using equation (1).

Therefore, the patient's bladder capacity is measured in advance, and the time when the patient's bladder urine volume B (t) becomes, for example, a predetermined ratio or more of the patient's bladder capacity is calculated, thereby the patient's estimated incontinence time T _u. Can be obtained.

  However, in the conventional method of outputting a warning to improve the patient's incontinence symptoms, the warning is notified regardless of the improvement degree of the patient's incontinence symptoms.

  Thereafter, based on the incontinence time of each patient in a predetermined period, the degree of possibility of incontinence of a specific patient (accuracy D) is calculated, and the incontinence symptom for changing the notification timing of the warning according to the calculated accuracy D The decision support system will be described.

  FIG. 12 is a diagram illustrating an example of the configuration of an incontinence symptom determination support system 1A according to the second embodiment. The difference between the determination support system 1 </ b> A and the determination support system 1 according to the first embodiment is that a sweat sensor 14 is added to the wearable sensor 10. Further, the information terminal 20 is replaced with the information terminal 20A, and the determination support device 30 is replaced with the determination support device 30A. It is assumed that the information terminal 20A is installed in the patient's home.

  The sweat sensor 14 of the wearable sensor 10 measures the amount of sweat of the patient. Note that the perspiration sensor 14 does not need to be built in the wearable sensor 10 and may be installed outside the wearable sensor 10. In the information terminal 20 </ b> A, a speaker 27 and an alert receiving unit 28 are newly added to the information terminal 20.

  The alert receiving unit 28 is connected to the alert output unit 36, the display unit 25, and the speaker 27 of the determination support apparatus 30A described later. When the alert notification is received from the alert output unit 36, the audio data corresponding to the warning sound is transmitted to the speaker 27. Output to. Further, when the alert receiving unit 28 receives the alert notification from the alert output unit 36, for example, the alert receiving unit 28 outputs display data indicating that a warning is being notified to the display unit 25. Note that it is not always necessary to output display data from the alert receiver 28 to the display unit 25.

  When the speaker 27 receives the sound data from the alert receiving unit 28, the speaker 27 outputs a sound corresponding to the sound data, that is, a warning sound.

  When the display unit 25 receives the display data from the alert receiving unit 28, the display unit 25 displays a display corresponding to the display data on a display device such as a display.

  On the other hand, the determination support device 30A is different from the determination support device 30 according to the first embodiment in that the collection recording unit 31 is replaced with the collection recording unit 31A, the generation unit 32 is replaced with the generation unit 32A, and the incontinence time estimation unit 34, An alert determination unit 35 and an alert output unit 36 are added.

  The collection recording unit 31A is a storage unit 40 that stores the sensor data transmission unit 22 and the information terminal transmission unit 24 of the information terminal 20, and the generation unit 32A, the incontinence time estimation unit 34, and the incontinence time recording DB 38 of the determination support device 30A. Connected to. In addition to the processing of the collection recording unit 31 according to the first embodiment, the collection recording unit 31A further receives the information necessary for estimating the incontinence time of the patient from the information terminal transmission unit 24. The result is output to the incontinence time estimation unit 34.

  The generation unit 32A is connected to the collection recording unit 31A, the alert determination unit 35, the determination support information output unit 33, and the incontinence time recording DB 38 included in the storage unit 40. In addition to the processing of the generation unit 32 according to the first embodiment, the generation unit 32A further uses the earliest incontinence time and the incontinence occurrence rate of each patient to determine the probability D that the patient is incontinent. Is calculated. The generation unit 32A outputs the calculated improvement function to the alert determination unit 35.

  The incontinence time estimation unit 34 is connected to the collection recording unit 31A and the alert determination unit 35, receives information necessary for estimating the patient's incontinence time from the collection recording unit 31A, and estimates the patient's incontinence time. Then, the incontinence time estimation unit 34 outputs the estimated incontinence time, that is, the incontinence estimation time, to the alert determination unit 35.

  The alert determination unit 35 is connected to the generation unit 32A, the incontinence time estimation unit 34, and the alert output unit 36. Then, the alert determination unit 35 determines whether to output an alert output instruction to the alert output unit 36 based on the improvement degree function received from the generation unit 32A and the estimated incontinence time received from the incontinence time estimation unit 34. . When it is determined that the alert output instruction needs to be output to the alert output unit 36, the alert determination unit 35 outputs the alert output instruction to the alert output unit 36.

  The alert output unit 36 is connected to the alert determination unit 35 and the alert reception unit 28 of the information terminal 20A. When an alert output instruction is received from the alert determination unit 35, the alert output unit 36 outputs an alert notification to the alert reception unit 28.

  Next, FIG. 13 shows a configuration diagram when the determination support apparatus 30A is realized by a computer.

  The configuration of the computer 100A shown in FIG. 13 is different from the configuration of the computer 100 according to the first embodiment shown in FIG. 7 in that the collection recording process 122 is replaced with the collection recording process 122A, and the generation process 124 is replaced with the generation process 124A. This is the point. In addition, an incontinence time estimation process 128, an alert determination process 130, and an alert output process 132 are added to the storage device 106. In addition, with the above change, the determination support program 120 according to the first embodiment is replaced with the determination support program 120A.

  The CPU 102 reads out the determination support program 120A from the storage device 106, expands it in the memory 104, and executes each process included in the determination support program 120A.

  The CPU 102 reads out the determination support program 120A from the storage device 106, expands it in the memory 104, and executes the determination support program 120A, whereby the computer 100A operates as the determination support device 30A shown in FIG.

  Further, when the CPU 102 executes the collection recording process 122A, the computer 100A operates as the collection recording unit 31A shown in FIG. Further, when the CPU 102 executes the generation process 124A, the computer 100A operates as the generation unit 32A illustrated in FIG. Further, when the CPU 102 executes the incontinence time estimation process 128, the computer 100A operates as the incontinence time estimation unit 34 shown in FIG. Further, when the CPU 102 executes the alert determination process 130, the computer 100A operates as the alert determination unit 35 illustrated in FIG. Further, when the CPU 102 executes the alert output process 132, the computer 100A operates as the alert output unit 36 shown in FIG.

  Note that the computer 100A can be realized by, for example, a semiconductor integrated circuit, more specifically, an ASIC or the like.

  Next, the operation of the determination support apparatus 30A according to the second embodiment will be described. The determination support apparatus 30A receives a patient ID and a scheduled bedtime of a patient who wants to wake up by outputting a warning during sleeping from the information terminal 20A, and executes a warning output process shown below, for example, at the scheduled bedtime.

  FIG. 14 is a flowchart illustrating an example of the flow of warning output processing of the determination support apparatus 30A. Note that the CPU 102 has a calendar function for managing dates and times, for example. Each process included in the determination support program 120A can acquire date information and time information from the CPU 102 by using, for example, a predetermined API (Application Programming Interface).

  Moreover, the incontinence time for each patient is stored in advance in the incontinence time recording DB 38 of the determination support apparatus 30A. The method for recording the incontinence time recorded in the incontinence time recording DB 38 will be described later.

  First, in step S <b> 200, the generation unit 32 </ b> A performs an improvement function generation process for generating an incontinence improvement function. Here, the improvement function of incontinence is a function representing the correlation between the earliest incontinence time and the incontinence occurrence rate within a predetermined period of each patient whose incontinence time is to be recorded. It is a common index for evaluating improvement.

  FIG. 15 is a flowchart showing an example of the improvement function generation process executed in step S200.

  In step S <b> 202, the generation unit 32 </ b> A acquires the daily incontinence time of each patient within a predetermined period from the incontinence time recording DB 38 and stores it in a predetermined area of the memory 104.

  In step S204, the generating unit 32A calculates the earliest incontinence time x within a predetermined period for each patient based on the incontinence time of each patient acquired in step S202.

  In step S206, the generation unit 32A calculates an incontinence occurrence rate z within a predetermined period for each patient based on the incontinence time of each patient acquired in step S202.

  In step S208, the generation unit 32A calculates a regression line from the combination of the earliest incontinence time x and the incontinence occurrence rate z for each patient using, for example, the least square method. This regression line is expressed by equation (5).

  Here, the coefficient a is the slope of the regression line, and the coefficient b is an intercept. Here, as an example, the improvement function of incontinence is represented by a straight line, but may be represented by a curve. The generating unit 32A stores the generated incontinence improvement function in a predetermined area of the memory 104.

  FIG. 16 is a diagram illustrating an example of the improvement function obtained by the improvement function generation process illustrated in FIG. 15.

  As already described, since the incontinence occurrence rate z tends to become slower as the incontinence occurrence rate z decreases between the incontinence occurrence rate z and the earliest incontinence time x, the improvement degree function 93 has a right shoulder. Expressed as a descending straight line.

  Accordingly, the improvement degree function 93 has a coordinate plane with time on the horizontal axis and an incontinence occurrence rate on the vertical axis in the area 70 surrounded by the horizontal axis, the vertical axis, and the improvement degree function 93, and in an area 71 other than the area 70. To divide. Here, the region 70 indicates a region where the time does not reach the earliest incontinence time x for each incontinence occurrence rate z, and the region 71 indicates a region where the time is after the earliest incontinence time for each incontinence occurrence rate z. .

That is, at time _{t 1,} the incontinence incidence patient (e.g. _{z 1),} if the time _{t 1,} the intersection P1 of is included in the area 70, yet, the time _{t 1} is longer for incontinence incidence _{z 1} Indicates that the incontinence time has not been reached. Therefore, the probability D that the patient incontinence is smaller than the case where the intersection of the incontinence occurrence rate and the time is included in the region 71.

At time _{t 2,} the incontinence incidence patient (e.g. _{z 1),} if the time _{t 2,} the intersection P2 of is included in the area 71, the time _{t 2} is longer already against incontinence incidence _{z 1} incontinence Indicates that it is after the time. Therefore, the probability D that the patient incontinence is greater than when the intersection of the incontinence occurrence rate and the time is included in the region 70.

  Thus, by using the improvement function 93, it can be determined according to time whether the probability D that the patient is incontinent is small or large.

  Next, processing after step S210 in FIG. 14 will be described.

In step S210, the alert determination unit 35 acquires the incontinence occurrence rate of a patient (specific patient) that is a warning notification target from the incontinence occurrence rate z for each patient calculated in step S206 of FIG. For convenience of description, representative of the incontinence incidence of a particular patient at z _1.

In step S220, incontinence time estimation unit 34 calculates the incontinence estimated time _{T u} for a particular patient in absolute time 24-hour clock. As already described, the incontinence estimated time T _u for a particular patient, (1) intravesical urine volume B (t) of the particular patient of formula is set to the time to reach for example 90% of bladder capacity of a particular patient Is done. Here, the value of “90%” indicating the ratio of the bladder capacity is an example, and other values may be used according to the symptoms of the specific patient, for example.

  Information necessary for calculating the urinary bladder volume B (t), for example, information such as a specific patient's disease type, average sweat volume, water intake, urine output, water intake time, and urination time is, for example, What is necessary is just to acquire from the information terminal 20A.

Incontinence time estimating unit 34, the incontinence estimated time T _u for a particular patient is calculated and stored in a predetermined area of the memory 104.

In step S230, the alert determination unit 35 acquires the time at the time of processing in step S230, that is, the current time. The current time can be acquired from the CPU 102 using, for example, a predetermined API, but the method for acquiring the current time is not limited to this. For example, the current time may be acquired from a time server (not shown) connected to the communication line 51. The current time is a 24-hour absolute time, and for convenience of explanation, the current time is represented by “t ₀ ”.

In step S240, the alert determination unit 35 acquires the improvement degree function 93 generated by the generation unit 32A in step S200 from the memory 104. The alert determination unit 35, the improvement function 93 represented by the example (5), by substituting the current time t ₀ obtained in step S230, the calculated incontinence incidence z ₀ at the current time t ₀ .

In step S250, the alert determination unit 35, the incontinence incidence _{z 1} specific patients obtained in step S210, calculated in step S240, comparison with incontinence incidence _{z 0} at the present time _{t 0,} a, incontinence incidence It is determined whether z ₀ is smaller than the incontinence occurrence rate z ₁ . If the determination is affirmative, the process proceeds to step S260.

If If the current time _{t 0} is _t 0 = _{t 2,} it incontinence incidence _{z 0} is called incontinence incidence _{z 1} smaller, as shown in FIG. 16, the incontinence incidence _{z 1} specific patients, now The intersection point P < _b > ₂ with the time t ₀ (= t ₂ ) is included in the region 71. Therefore, since it is considered that the specific patient has already exceeded the incontinence time, in step S260, the alert determination unit 35 sets the incontinence probability D for the specific patient to “large”.

  On the other hand, if the determination process in step S250 is negative, the process proceeds to step S270.

If If the current time _{t 0} is _t 0 = _{t 1,} that incontinence incidence _{z 0} is incontinence incidence _{z 1} or more, and incontinence incidence _{z 1} particular patient, the current time _t 0 (= _{t 1} ) And the intersection point P <b> 1 is included in the region 70. Accordingly, since it is considered that the specific patient has not reached the earliest incontinence time, in step S270, the alert determination unit 35 sets the incontinence accuracy D for the specific patient to “small”.

In step S280, the alert determination unit 35 determines whether the present time _{t 0} is approaching incontinence estimated time _{T u} calculated in step S220. Specifically, the alert determination unit 35, the current time t ₀ incontinence estimated time T _u earlier, and the difference between the current time t ₀ and incontinence estimated time T _u is or less than the threshold value T _th Determine. That is, the alert determination unit 35, the current time t _0, incontinent estimated time T _u earlier, and a state contained in a predetermined time zone adjoining incontinence estimated time T _u, the current time t ₀ incontinence regarded as a state that is close to the estimated time T _u. The threshold value T _th is a value that is stored in advance in the threshold value information storage area 142 shown in FIG.

The determination is negative, i.e., if the current time t ₀ has not approached the incontinence estimated time T _u, the process proceeds to step S220. Then calculate the incontinence estimated time _{T u} for a particular patient incontinent time estimating unit 34 again, until the current time _{t 0} approaches the incontinence estimated time _{T u,} repeatedly performs the process of step S220～S280.

This is also a warning to a particular patient in a situation where the current time t ₀ is not close to the incontinence estimated time T _u, compared to the case where the current time t ₀ is close to incontinence estimated time T _u, specific patient This is because the possibility of incontinence is considered to be low.

The reason for recalculating incontinence estimated time T _u for a particular patient incontinent time estimating unit 34, as the current time t ₀ approaches the incontinence estimated time T _u, is when the estimated accuracy of the incontinence estimated time T _u is high Because there is.

On the other hand, the determination process is affirmative determination in step S280, i.e., if the current time _{t 0} is close to incontinence estimated time _{T u,} the process proceeds to step S290.

  In step S290, the alert determination unit 35 refers to the incontinence accuracy D for the specific patient set in step S260 or S270, and determines whether the incontinence accuracy D is “high”. If the determination is negative, that is, if the incontinence accuracy D is “small”, the specific patient is less likely to incontinence than the case where the incontinence accuracy D is “large”, so a warning is output. There is no need to wake up a specific patient. Therefore, the process proceeds to step S220, and the processes of steps S220 to S290 are repeatedly executed until the accuracy D is set to “large” in step S260.

  On the other hand, if the determination process in step S290 is affirmative, the process proceeds to step S300.

In step S300, the alert determination unit 35, the current time t ₀ approaches incontinence estimated time T _u for a particular patient, and, since the accuracy D of incontinence particular patient is "large", the alert output instruction Alert Output To the unit 36.

  And the alert determination part 35 matches the alert output completion information which shows having output the alert output instruction | indication to the alert output part 36 with the patient ID of a specific patient, and memorize | stores it in the predetermined area | region of the memory 104. FIG.

  Upon receiving an alert output instruction from the alert determination unit 35, the alert output unit 36 outputs an alert notification to the alert reception unit 28 of the information terminal 20A.

  Therefore, for example, if the information terminal 20A is installed around a specific patient, a warning sound is output from the speaker 27 of the information terminal 20A so that the specific patient gets up and goes to the toilet before the specific patient is incontinent. You can call attention.

  The information terminal 20A may be installed around the guardian of a specific patient, and the guardian may be woken up by outputting a warning sound from the speaker 27 of the information terminal 20A. In this case, the guardian wakes up the specific patient.

  Of course, if the information terminal 20A is installed in the vicinity of the specific patient and the guardian of the specific patient, both the specific patient and the guardian of the specific patient can be woken up and alerted to go to the toilet. For example, when the specific patient is a child, there may be a case where the person cannot go to the toilet alone even if he gets up with a warning sound because of fear. However, in this case, since the guardian of the specific patient is also woken up, if the guardian prompts the specific patient to go to the toilet, incontinence of the specific patient can be further suppressed.

  In addition, although the example which outputs a warning sound from the information terminal 20A was demonstrated here, the output form of a warning sound is not restricted to this. For example, the wearable sensor 10 is provided with a speaker 27 and an alert receiving unit 28, and the alert receiving unit 28 of the wearable sensor 10 and the alert output unit 36 of the determination support device 30A are connected via a communication line, so that a warning sound is generated from the wearable sensor 10. Can be output from. In this case, since the warning sound is output to the specific patient from a position closer to the information terminal 20A, it is easier to wake up the specific patient than when the warning sound is output from the information terminal 20A. A wearable sensor 10 may be provided with a vibrator, and when an alert notification is received from the alert output unit 36, the specific patient may be woken up by the vibration of the vibrator in addition to the warning sound from the speaker 27.

  Moreover, although the improvement degree function 93 was produced | generated from the earliest incontinence time and the incontinence incidence rate in the predetermined period for every patient here, the production | generation method of the improvement degree function 93 is not restricted to this.

  There is also a correlation between the variation in incontinence times and the incidence of incontinence within a given period. Therefore, the improvement degree function 93 may be generated from the variance value of the incontinence time in a predetermined period for each patient and the incontinence occurrence rate. If the variance value of the incontinence time is “y” and the incontinence occurrence rate is “z”, the improvement degree function 93 is expressed by a regression line represented by equation (6) using, for example, the least square method.

  The coefficient h is the slope of the regression line, and the coefficient d is an intercept.

  Next, a method for recording the incontinence time recorded in the incontinence time recording DB 38 will be described.

  The incontinence detection information input to the collection recording unit 31A includes incontinence detection information transmitted from the wearable sensor 10 via the information terminal 20A and incontinence detection information input from the information terminal 20A by a patient's guardian or the like. is there.

  Normally, incontinence is detected by the urine sensor 12 of the wearable sensor 10, and incontinence detection information is transmitted from the wearable sensor 10 to the collection recording unit 31A. However, when the patient forgets to wear the wearable sensor 10 or the like, a situation occurs in which the incontinence detection information is not transmitted to the collection recording unit 31A even though the patient has incontinence.

  Therefore, in this case, the incontinence detection information is obtained by inputting the incontinence detection information including the incontinence date and the incontinence time using an input device such as a keyboard connected to the information terminal 20A by the patient's guardian. The data is transmitted from the terminal 20A to the collection recording unit 31A. At this time, the information terminal transmission unit 24 adds a transmission source ID indicating that the transmission source of the incontinence detection information is the information terminal 20A to the incontinence detection information.

  The collection recording unit 31 </ b> A distinguishes the received incontinence detection information for each patient and stores it in a predetermined area of the memory 104.

  Then, for example, the collection recording unit 31A executes an incontinence time recording process in which the incontinence time of each patient is determined and recorded in the incontinence time recording DB 38 between the scheduled wake-up time of the patient and the scheduled bedtime. In addition, what is necessary is just to receive a patient's scheduled wake-up time and sleep scheduled time from the information terminal 20A.

  FIG. 17 is a flowchart illustrating an example of the flow of incontinence time recording processing in the determination support apparatus 30A.

  In step S <b> 400, the collection / recording unit 31 </ b> A determines whether the incontinence detection information of the patient (recording target patient) about to record the incontinence time is stored in the memory 104. And in affirmation determination, it transfers to step S410.

  In step S410, the collection / recording unit 31A acquires the incontinence detection information of the patient to be recorded from the memory 104, refers to the transmission source ID of the incontinence detection information, and the incontinence detection information is transmitted from the information terminal 20A. It is determined whether or not there is. If a negative determination is made, the process proceeds to step S420.

  In step S420, the collection recording unit 31A records the time included in the incontinence detection information acquired in step S410, that is, the time when the incontinence is detected by the urine sensor 12 as the incontinence time of the recording target patient in the incontinence time recording DB 38. To do.

  On the other hand, if the determination process in step S410 is affirmative, the process proceeds to step S430.

  In step S430, the collection / recording unit 31A uses the time included in the incontinence detection information acquired in step S410, that is, the time input to the information terminal 20A by the guardian of the recording target patient as the incontinence time of the recording target patient. Record in the record DB 38.

  On the other hand, if the determination process in step S400 is negative, the process proceeds to step S440. In this case, it means that the incontinence detection information is not transmitted from either the wearable sensor 10 or the information terminal 20A.

Thus, in step S440, collecting recording unit 31A acquires the incontinence estimated time _{T u} incontinence time estimating unit 34 is calculated from the memory 104.

  In step S450, the collection recording unit 31A determines whether or not the alert determination unit 35 has output an alert output instruction for the recording target patient to the alert output unit 36. This determination can be made based on, for example, whether or not the alert output completed information corresponding to the recording target patient is stored in the memory 104.

If the determination process in step S450 is affirmative, the process proceeds to step S460. In this case, since a warning is output from the information terminal 20A, it is considered that the patient to be recorded has not been incontinent by this warning. That is, if not if a warning is output, recorded patient can be regarded as the incontinence incontinence estimated time T _u.

Thus, in step S460, collecting recording unit 31A records incontinence time recording DB38 incontinence estimated time _{T u} of recorded patient as incontinence time.

  On the other hand, if the determination process in step S450 is negative, the process proceeds to step S470. In step S470, the collection recording unit 31A considers that the recording target patient has not incontinence, and records information indicating that the recording target patient has not incontinence in the incontinence time recording DB 38.

  Thus, the incontinence time recording process is completed. Note that the incontinence time recording process shown in FIG. 17 shows the incontinence time recording process for one patient to be recorded. By executing the incontinence time recording process for each patient, the incontinence times of all the patients can be recorded. Recorded in the incontinence time record DB 38.

According to the second embodiment, determination support device 30A calculates the improvement function 93 from incontinence time of each patient is calculated incontinence estimated time T _u of the patient. Then, determination support device 30A, when the time approaches the incontinence estimated time T _u, whether or not to output a warning adjusted depending on the accuracy D of incontinence patients resulting from improvement functions 93.

The incontinence estimated time T _u of the patient, for example, the amount of perspiration of the patient, etc., but is calculated based on the biological information of the patient, the measurement of the biological information, for example, individual differences of the measuring instrument, familiarity with respect to the measurement of the measurer Different noise components are likely to be included for each patient due to differences in degree and the like. Therefore, it may be difficult to accurately calculate the incontinence estimated time T _u of the patient.

  However, the determination support device 30A obtains the incontinence accuracy D using the improvement function 93 generated from the incontinence time of each patient, and adjusts whether to output a warning according to the incontinence accuracy D of the patient. With regard to the warning output time, it is possible to suppress the influence of different noise components for each patient.

(Third embodiment)
In the second embodiment, the warning output timing is adjusted based on the accuracy D of patient incontinence obtained from the improvement function 93 common to all patients without considering the patient improvement index and habitualness index. did.

  In the third embodiment, a description will be given of a determination support apparatus that corrects the improvement degree function 93 according to the improvement degree index and the habitualness index of the patient.

  As already described, for example, when the patient improvement index and the habitualness index are included in the region 67 shown in FIG. 10, the incontinence has not been improved in spite of the progress of improvement of the patient incontinence symptoms. It shows a tendency to occur in a concentrated manner. Therefore, in this case, the patient may be incontinence due to, for example, cold hands and feet.

  For example, body temperature changes such as cold hands and feet are considered to be mainly related to temperature fluctuations. Therefore, if the improvement degree function 93 is corrected in consideration of temperature fluctuations, the accuracy of setting the incontinence accuracy D of the patient is higher than in the second embodiment, and the incontinence of the patient can be further suppressed. .

  FIG. 18 is a diagram illustrating an example of the configuration of an incontinence symptom determination support system 1B according to the third embodiment.

  The difference between the determination support system 1B and the determination support system 1A according to the second embodiment shown in FIG. 12 is that the wearable sensor 10 is replaced with the wearable sensor 10B, and the determination support apparatus 30A is replaced with the determination support apparatus 30B. Is a point.

  In the wearable sensor 10 </ b> B, a temperature sensor 13 is newly added to the wearable sensor 10. The sweat sensor 14 is also included in the wearable sensor 10B, but is not shown here.

  The temperature sensor 13 is connected to the transmission unit 11 and outputs temperature data obtained by measuring the temperature of the place where the patient is present to the transmission unit 11 at predetermined intervals, for example. The temperature sensor 13 may be provided separately from the wearable sensor 10B in order to avoid the patient's body temperature being added as an error to the temperature data.

  For example, the transmission unit 11 transmits the temperature data measured by the temperature sensor 13 to the determination support device 30B via the information terminal 20A.

  On the other hand, the determination support device 30B is different from the determination support device 30A according to the second embodiment shown in FIG. 12 in that a correction unit 37 is added and a correction DB 39 is added to the storage unit 40. Further, with the addition of the correction unit 37 and the correction DB 39 to the determination support apparatus 30B, the collection recording unit 31A and the generation unit 32A are replaced with the collection recording unit 31B and the generation unit 32B, respectively. Furthermore, the storage unit 40 is replaced with a storage unit 40B.

  The collection recording unit 31B is included in the sensor data transmission unit 22 and the information terminal transmission unit 24 of the information terminal 20, and the generation unit 32B, the incontinence time estimation unit 34, the correction unit 37, and the storage unit 40 of the determination support device 30B. Connected to the incontinence time record DB 38. In addition to the processing of the collection recording unit 31A according to the second embodiment, the collection recording unit 31B further outputs the temperature data transmitted from the wearable sensor 10B to the correction unit 37.

  The generation unit 32B is connected to the storage unit 40 that stores the collection recording unit 31B, the determination support information output unit 33, the correction unit 37, and the incontinence time recording DB 38. The difference between the processing of the generation unit 32B and the processing of the generation unit 32A according to the second embodiment is that the output destination of the improvement function 93 is changed from the alert determination unit 35 to the correction unit 37.

  The correction unit 37 is connected to the collection recording unit 31B, the generation unit 32B, the alert determination unit 35, and the correction DB 39.

  The correction unit 37 receives the temperature data from the collection recording unit 31B and acquires, for example, a correction value corresponding to the temperature difference from the previous day from the correction DB 39. Then, the correction unit 37 corrects the improvement degree function 93 received from the generation unit 32B with the correction value, and outputs the corrected improvement degree function 93 to the alert determination unit 35.

  The correction DB 39 stores in advance a correction value of the improvement degree function 93 corresponding to the temperature difference.

  Next, FIG. 19 shows a configuration diagram when the determination support apparatus 30B is realized by a computer.

  The configuration of the computer 100B shown in FIG. 19 is different from the configuration of the computer 100A shown in FIG. 13 in that the collection recording process 122A and the generation process 124A are replaced with the collection recording process 122B and the generation process 124B, respectively. is there. In addition, a correction process 134 is added to the storage device 106.

  With the above change, the determination support program 120A according to the second embodiment is replaced with the determination support program 120B. In addition, a correction information storage area 144 is added to the storage device 106.

  The CPU 102 reads out the determination support program 120B from the storage device 106, expands it in the memory 104, and executes each process included in the determination support program 120B.

  When the CPU 102 reads out the determination support program 120B from the storage device 106, expands it in the memory 104, and executes the determination support program 120B, the computer 100B operates as the determination support device 30B shown in FIG.

  Further, when the CPU 102 executes the collection recording process 122B, the computer 100B operates as the collection recording unit 31B shown in FIG. Further, when the CPU 102 executes the generation process 124B, the computer 100B operates as the generation unit 32B illustrated in FIG. Further, when the CPU 102 executes the correction process 134, the computer 100B operates as the correction unit 37 illustrated in FIG.

  Further, the CPU 102 expands the correction information stored in the correction information storage area 144 in the memory 104, thereby generating the correction DB 39 in the memory 104.

  Note that the computer 100B can be realized by, for example, a semiconductor integrated circuit, more specifically, an ASIC or the like.

  Next, the operation of the determination support apparatus 30B according to the third embodiment will be described. For example, the determination support device 30B performs the following for a specific patient in which the combination of the improvement index and the habitualness index is determined to be included in the region 67 illustrated in FIG. 10 by the method described in the first embodiment. The warning output process shown is executed.

  FIG. 20 is a flowchart illustrating an example of the flow of warning output processing of the determination support apparatus 30B.

  The warning output process shown in FIG. 20 is different from the warning output process according to the second embodiment shown in FIG. 14 in that an improvement function correction process in step S500 is added.

  In step S500, the correction unit 37 corrects the improvement degree function 93 generated in step S200 based on the temperature difference.

  FIG. 21 is a flowchart showing an example of the improvement function correction processing in step S500.

First, in step S510, the correction unit 37 calculates the night average temperature T _ave1 of the previous day based on the temperature data received from the collection recording unit 31B. Here, the night average temperature T _ave1 is, for example, an average value of temperature data from a specific patient's scheduled bedtime to a scheduled wake-up time. In addition, the acquisition method of night average temperature _Tave1 is not restricted to this, For example, you may use the night average temperature of the area where the specific patient lives announced from a weather organization etc.

In step S520, the correction unit 37 _acquires , for example, the predicted nighttime average temperature T _ave2 on the day of warning output from a predetermined area of the memory 104. In the predetermined area of the memory 104, it is _assumed that the average nighttime average temperature T _{ave2 on} the warning output day received by the collection recording unit 31B from the information terminal 20A is stored in advance.

Therefore, a guardian of a specific patient _inputs , for example, the predicted nighttime average temperature in the area where the specific patient resides, which is announced by a weather organization or the like, to the information terminal 20A as the predicted nighttime average temperature _Tave2 . Also, the expected nighttime average temperature T _ave2 may be obtained from the temperature sensor 13 of the wearable sensor 10B.

In addition, the acquisition method of night expectation average temperature _{Tave2 on} the day of warning output is not restricted to this. For example stores the daily nighttime average temperature T _ave1 in the memory 104, the warning output day and month the average value of the same day of the past predetermined number of years worth of nighttime average temperature T _ave1, warning output day night expected average temperature T _ave2 It may be used as

In step S530, the correction unit 37 calculates the temperature difference Δt by, for _example , subtracting the night average temperature T _ave1 of the previous day calculated in step S510 from the night predicted average temperature T _ave2 acquired on the warning output day acquired in step S520.

  In step S540, the correction unit 37 acquires a correction value L corresponding to the temperature difference Δt calculated in step S530 from the correction DB 39.

  FIG. 22 is a diagram illustrating an example of the correction DB 39. As illustrated in FIG. 22, the correction DB 39 stores correction information in which the temperature difference Δt and the correction value L are associated in the row direction.

In the example of FIG. 22, the correction DB 39 sets the correction value L to “0” when the temperature difference Δt is “−1 ° C. or more and less than 1 ° C.”, that is, when the temperature difference Δt from the previous day is small. Yes. The correction DB 39 is set so that the correction value L decreases as the temperature difference Δt increases in the positive direction. That is, the correction value L ₃ and the correction value L ₄ are are both negative values, are set such that L _3> L _4.

On the other hand, the correction DB 39 is set so that the correction value L increases as the temperature difference Δt increases in the negative direction. That is, the correction value L ₁ and the correction value L ₂ are both positive values, are set so that L _1> L _2.

  Next, in step S550 of FIG. 21, the correction unit 37 corrects the improvement function 93 generated in step S200 of FIG. 20 based on the correction value L acquired in the process of step S540.

  Specifically, for example, the correction value L is subtracted from the improvement degree function 93. That is, when the improvement degree function 93 is expressed by equation (5), the corrected improvement degree function 93 is expressed by equation (7).

The correction method of the improvement function 93 is not limited to (7), for example, when longer incontinence time x are the same, according to the value of the correction value L becomes larger, a smaller value of an incontinence incidence z _L Any correction method may be used.

  FIG. 23 is a diagram illustrating an example of correction of the improvement level function 93 performed in step S550.

  In the coordinate plane in which the horizontal axis in FIG. 23 is time and the vertical axis is the incontinence occurrence rate, the improvement function 93 indicates the improvement function before correction generated in step 200.

Now, when the incontinence incidence in a predetermined period of a particular patient's z _1, at time t _2, the the incontinence incidence z _1, and time t _2, the intersection P3 of the horizontal axis, vertical axis, and improvement function 93 The region 70A is surrounded by Therefore, when using the uncorrected improvement function 93, the alert determination unit 35, to set the accuracy D of incontinence particular patient "small", at time t ₂ warning is not output.

However, if the warning output day night expected average temperature T _ave2 is lower than the nighttime average temperature T _ave1 of the previous day, the temperature difference Δt the sign is a negative value, the sign is the positive value is obtained as the correction value L The Therefore, based on the equation (7), the improvement function 93 is translated in the direction of the arrow AR and moved to the position of the improvement function 93L.

In improvement function 93L after correction, at time _{t 2, the} intersection P3 is horizontal axis, vertical axis, and is not included in the region 70B surrounded by the improvement function 93L. Therefore, when using the improvement function 93L corrected, the alert determination unit 35, to set the accuracy D of incontinence particular patient to "large", there are cases where a warning is output at time t _2.

On the other hand, when the alarm output day night expected average temperature T _ave2 is higher than the night average temperature T _ave1 of the previous day, the temperature difference Δt the sign becomes a positive value, negative sign values are acquired as the correction value L The Therefore, the improvement function 93 is translated in the direction opposite to the arrow AR. Accordingly, the time at which the incontinence accuracy D of the specific patient changes from “small” to “large” is delayed as compared with the case where the improvement degree function 93 before correction is used, and accordingly, the time when the warning is output. Will also be late.

  Moreover, although the above demonstrated the aspect which divides an improvement index and a habitualness index into three steps, large, medium, and small, it is not limited to this. For example, each of the above indicators may be divided into two stages or may be divided into four or more stages. Further, the number of stages may be different between the improvement degree index and the habitualness index.

Here, was calculated temperature difference Δt with nighttime average temperature T _ave1 of the previous day, for example, instead of the day before the nighttime mean temperature T _ave1, it may be used at night average temperature in a predetermined period. Further, instead of the average night temperature, for example, the temperature at a specific time during sleeping, or the highest temperature or the lowest temperature may be used. The same _{applies to the} predicted nighttime average temperature T _ave2 on the day of warning output.

  In the third embodiment, the mode in which the warning output process illustrated in FIG. 20 is performed when the improvement index of the specific patient is “small” and the habitual index is “large” has been described. The warning output process shown in FIG. 20 may be performed irrespective of the improvement degree index and the habitualness index.

  Thus, according to the third embodiment, the improvement degree function 93 is corrected based on the temperature difference Δt. When the temperature during sleeping is lower than the previous day and the body is expected to cool, the specific patient may feel urine earlier than the previous day. Therefore, the determination support apparatus 30B can suppress incontinence of a specific patient by outputting a warning at an earlier time than before the correction of the improvement degree function 93.

  On the other hand, when the temperature during sleeping rises compared to the previous day, for example, the amount of sweating may increase, and the specific patient may feel urine later than the previous day. Therefore, the judgment support apparatus 30B can improve the quality of sleep of a specific patient by outputting a warning at a later time than before the improvement degree function 93 is corrected.

  As described above, the disclosed technology has been described using each embodiment, but the disclosed technology is not limited to the scope described in each embodiment. Various modifications or improvements can be added to each embodiment without departing from the spirit of the disclosed technology, and forms to which the modifications or improvements are added are also included in the technical scope of the disclosed technology. For example, the processing order may be changed without departing from the scope of the disclosed technology.

  In each embodiment, the mode in which the determination support program is stored in advance in the storage device 106 has been described. However, the present invention is not limited to this, and the determination support program can be provided in a form recorded on a storage medium such as a CD-ROM.

  Regarding the embodiments including the above embodiments, the following additional notes are disclosed.

(Appendix 1)
On the computer,
Incontinence monitoring target person based on the earliest incontinence time that is the earliest incontinence time among the incontinence times for each of the plurality of collection periods collected within a predetermined period including a plurality of collection periods from a predetermined start time to an end time. An incontinence symptom determination support program for executing a process including generating determination support information used for determination of incontinence symptoms.

(Appendix 2)
The determination support program for incontinence symptoms according to claim 1, wherein the determination support information is generated based on at least one of the earliest incontinence time and variation of each incontinence time in the plurality of collection periods.

(Appendix 3)
The earliest incontinence time is expressed as an absolute time. The incontinence symptom determination support program according to attachment 1 or attachment 2.

(Appendix 4)
The plurality of determination support information generated based on an improvement index indicating an improvement status of incontinence symptoms generated based on the earliest incontinence time, and variations in each incontinence time in the plurality of collection periods. 4. The incontinence symptom determination support program according to any one of appendix 1 to appendix 3, wherein the incontinence time in each collection period is at least one of habituation indices representing a degree of concentration in a specific time zone.

(Appendix 5)
5. The incontinence symptom determination support program according to claim 4, wherein the first graph representing a time-series change of the improvement index generated for the incontinence monitoring target person who outputs the determination support information is output.

(Appendix 6)
Different from the incontinence monitoring target that outputs the determination support information, each of the incontinence times in the plurality of collection periods of a plurality of other incontinence monitoring target, respectively,
6. The incontinence symptom determination support program according to claim 5, wherein the second graph representing a time-series change of the improvement index of the other incontinence monitoring target similar to the first graph is output.

(Appendix 7)
Further estimating the scheduled time for the incontinence monitoring subject to incontinence,
The determination support for incontinence symptoms according to any one of appendix 1 to appendix 6, wherein whether or not a warning is output is determined according to a probability that the incontinence monitoring subject incontinence before the estimated scheduled time program.

(Appendix 8)
Acquiring each incontinence time in each of the plurality of collection periods for each of a plurality of incontinence monitoring subjects,
Whether the incontinence monitoring target is to be incontinent, whether the warning is output, and a function indicating a correlation between the earliest incontinence time and the incontinence occurrence rate in the predetermined period for each of the plurality of incontinence monitoring target The determination support program for incontinence symptoms according to appendix 7, which is calculated using

(Appendix 9)
9. The incontinence symptom determination support program according to appendix 8, wherein the function is corrected according to a temperature difference from a past temperature.

(Appendix 10)
On the computer,
Incontinence monitoring target person based on the earliest incontinence time that is the earliest incontinence time among the incontinence times for each of the plurality of collection periods collected within a predetermined period including a plurality of collection periods from a predetermined start time to an end time. An incontinence symptom determination support method that executes processing including generation of determination support information used for determination of incontinence symptoms.

(Appendix 11)
The determination support method for incontinence symptoms according to claim 10, wherein the determination support information is generated based on at least one of the earliest incontinence time and a variation in each incontinence time in the plurality of collection periods.

(Appendix 12)
The earliest incontinence time is expressed as an absolute time.

(Appendix 13)
The plurality of determination support information generated based on an improvement index indicating an improvement status of incontinence symptoms generated based on the earliest incontinence time, and variations in each incontinence time in the plurality of collection periods. The method for supporting determination of incontinence symptoms according to any one of appendix 10 to appendix 12, wherein each of the incontinence times in the collection period is at least one of habitual indices indicating a degree of concentration in a specific time zone.

(Appendix 14)
The method of supporting determination of incontinence symptoms according to claim 13, wherein a first graph representing a time-series change of the improvement index generated for the incontinence monitoring target person who outputs the determination support information is output.

(Appendix 15)
Different from the incontinence monitoring target that outputs the determination support information, each of the incontinence times in the plurality of collection periods of a plurality of other incontinence monitoring target, respectively,
The method for supporting determination of incontinence symptoms according to claim 14, wherein a second graph representing a time-series change of the improvement index of the other incontinence monitoring target similar to the first graph is output.

(Appendix 16)
Further estimating the scheduled time for the incontinence monitoring subject to incontinence,
The judgment support for incontinence symptoms according to any one of Supplementary Note 10 to Supplementary Note 15, wherein whether or not to output a warning is determined according to a probability that the incontinence monitoring target person is incontinent before the estimated scheduled time. Method.

(Appendix 17)
Acquiring each incontinence time in each of the plurality of collection periods for each of a plurality of incontinence monitoring subjects,
Whether the incontinence monitoring target is to be incontinent, whether the warning is output, and a function indicating a correlation between the earliest incontinence time and the incontinence occurrence rate in the predetermined period for each of the plurality of incontinence monitoring target The determination support method for incontinence symptoms according to claim 16, wherein the determination time is used.

(Appendix 18)
The method of supporting determination of incontinence symptoms according to claim 17, wherein the function is corrected according to a temperature difference from a past temperature.

(Appendix 19)
Incontinence monitoring target person based on the earliest incontinence time that is the earliest incontinence time among the incontinence times for each of the plurality of collection periods collected within a predetermined period including a plurality of collection periods from a predetermined start time to an end time. An incontinence symptom determination support apparatus including a generation unit that generates determination support information used for determination of incontinence symptoms.

(Appendix 20)
20. The incontinence symptom determination support apparatus according to appendix 19, wherein the generation unit generates the determination support information based on at least one of the earliest incontinence time and a variation in each incontinence time in the plurality of collection periods.

(Appendix 21)
The earliest incontinence time is expressed in absolute time. The incontinence symptom determination support device according to attachment 19 or attachment 20.

(Appendix 22)
The generation unit generates, as the determination support information, an improvement degree index indicating an improvement state of incontinence symptoms generated based on the earliest incontinence time, and variations in each incontinence time in the plurality of collection periods The incontinence symptom according to any one of appendices 19 to 21 is generated, wherein at least one of the habituation indices indicating the degree of concentration of each incontinence time in the plurality of collection periods in a specific time zone is generated. Judgment support device.

(Appendix 23)
23. The incontinence symptom determination support apparatus according to appendix 22, wherein the generation unit generates a first graph representing a time-series change of the improvement index generated for the incontinence monitoring target person who outputs the determination support information. .

(Appendix 24)
Different from the incontinence monitoring target for outputting the determination support information, further comprising a collection recording unit for acquiring each incontinence time in the plurality of collection periods of a plurality of other incontinence monitoring target,
24. The determination support for incontinence symptoms according to claim 23, wherein the generation unit generates a second graph that is similar to the first graph and represents a time-series change of the improvement index of the other incontinence monitoring target. apparatus.

(Appendix 25)
An estimation unit for estimating a scheduled time at which the incontinence monitoring target person is incontinent; and
A determination unit that determines whether or not to output a warning according to the probability that the incontinence monitoring target person is incontinent before the scheduled time estimated by the estimation unit;
The incontinence symptom determination support device according to any one of appendix 19 to appendix 24.

(Appendix 26)
A collection recording unit for acquiring each incontinence time in each of the plurality of collection periods for each of a plurality of incontinence monitoring subjects;
The determination unit is configured to determine a probability that the incontinence monitoring subject is incontinent, a function indicating a correlation between the earliest incontinence time and the incontinence occurrence rate in the predetermined period for each of the plurality of incontinence monitoring subjects, and the warning. The incontinence symptom determination support device according to attachment 25, wherein the determination time is used to calculate whether or not to output.

(Appendix 27)
27. The incontinence symptom determination support device according to appendix 26, further comprising a correction unit that corrects the function according to a temperature difference from a past temperature.

(Appendix 28)
On the computer,
Incontinence monitoring target person based on the earliest incontinence time that is the earliest incontinence time among the incontinence times for each of the plurality of collection periods collected within a predetermined period including a plurality of collection periods from a predetermined start time to an end time. A computer-readable recording medium recording an incontinence symptom determination support program for executing a process including generating determination support information used for determination of incontinence symptoms.

DESCRIPTION OF SYMBOLS 1 (1A, 1B) ... Judgment support system, 10 (10B) ... Wearable sensor, 11 ... Transmission part, 12 ... Urine sensor, 13 ... Temperature sensor, 14 ... Sweat sensor , 20 (20A) ... information terminal, 21 ... sensor data receiving unit, 22 ... sensor data transmitting unit, 23 ... input unit, 24 ... information terminal transmitting unit, 25 ... display , 26 ... Judgment support information receiving unit, 27 ... Speaker, 28 ... Alert receiving unit, 30 (30A, 30B) ... Judgment support device, 31 (31A, 31B) ... Collection record , 32 (32A, 32B) ... generating part, 33 ... judgment support information output part, 34 ... incontinence time estimation part, 35 (35B) ... alert determination part, 36 ... alert output Part, 37 ... correction part, 38 ... incontinence time recording B, 39: Correction DB, 40 (40B): Storage unit, 50 (51): Communication line, 93 (93L): Improvement function, 100 (100A, 100B): Computer , 102 ... CPU, 104 ... memory, 106 ... storage device, 108 ... bus, 112 ... input device, 114 ... communication device, 116 ... recording medium, 120 (120A) 120B) ... judgment support program, D ... accuracy of incontinence, L ... correction value, _Tu ... estimated incontinence time, x ... early incontinence time, z ... incidence rate of incontinence, y: variance of incontinence time

Claims (11)

On the computer,
Incontinence monitoring target person based on the earliest incontinence time that is the earliest incontinence time among the incontinence times for each of the plurality of collection periods collected within a predetermined period including a plurality of collection periods from a predetermined start time to an end time. An incontinence symptom determination support program for executing a process including generating determination support information used for determination of incontinence symptoms. The determination support information for incontinence symptoms according to claim 1, wherein the determination support information is generated based on at least one of the earliest incontinence time and a variation in each incontinence time in the plurality of collection periods. 3. The incontinence symptom determination support program according to claim 1, wherein the earliest incontinence time is expressed in absolute time. The plurality of determination support information generated based on an improvement index indicating an improvement status of incontinence symptoms generated based on the earliest incontinence time, and variations in each incontinence time in the plurality of collection periods. The incontinence symptom determination support program according to any one of claims 1 to 3, wherein each incontinence time in the collection period is at least one of habitual indexes representing a degree of concentration in a specific time zone. 5. The incontinence symptom determination support program according to claim 4, wherein a first graph representing a time-series change of the improvement index generated for the incontinence monitoring target person who outputs the determination support information is output. Different from the incontinence monitoring target that outputs the determination support information, each of the incontinence times in the plurality of collection periods of a plurality of other incontinence monitoring target, respectively,
6. The incontinence symptom judgment support program according to claim 5, wherein the second graph representing a time-series change of the improvement index of the other incontinence monitoring target person similar to the first graph is output. Further estimating the scheduled time for the incontinence monitoring subject to incontinence,
The incontinence symptom according to any one of claims 1 to 6, wherein whether or not to output a warning is determined according to a probability that the incontinence monitoring target person will incontinence before the estimated scheduled time. Judgment support program. Acquiring each incontinence time in each of the plurality of collection periods for each of a plurality of incontinence monitoring subjects,
Whether the incontinence monitoring target is to be incontinent, whether the warning is output, and a function indicating a correlation between the earliest incontinence time and the incontinence occurrence rate in the predetermined period for each of the plurality of incontinence monitoring target The determination support program for incontinence symptoms according to claim 7. 9. The incontinence symptom determination support program according to claim 8, wherein the function is corrected according to a temperature difference from a past temperature. On the computer,
Incontinence monitoring target person based on the earliest incontinence time that is the earliest incontinence time among the incontinence times for each of the plurality of collection periods collected within a predetermined period including a plurality of collection periods from a predetermined start time to an end time. An incontinence symptom determination support method that executes processing including generation of determination support information used for determination of incontinence symptoms. Incontinence monitoring target person based on the earliest incontinence time that is the earliest incontinence time among the incontinence times for each of the plurality of collection periods collected within a predetermined period including a plurality of collection periods from a predetermined start time to an end time. An incontinence symptom determination support apparatus including a generation unit that generates determination support information used for determination of incontinence symptoms.