JP2018073120A - Body weight fluctuation monitoring system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a body weight fluctuation monitoring system to achieve improved detection accuracy of a worsening tendency of one's health condition.SOLUTION: A body weight fluctuation monitoring system 1 comprises: a body weight scale 3 which includes a measurement unit 31 for measuring body weight data of a user, and a communication unit 37 for transmitting the body weight data measured by the measurement unit 31; and a body weight fluctuation monitoring device 5 which includes a storage unit 51 for storing body weight data and a measurement date of the body weight data associated with each other, a receiving data registry unit 53 for receiving the body weight data transmitted by the communication unit 37, associating the same with the measurement date of the body weight data, and thereby registering into the storage unit 51, a determining unit 57 for determining whether or not the user of the body weight scale 3 is seeing a worsening tendency of his/her health condition by using a worsening predicted body weight range indicating a worsening tendency of one's health condition that is generated on the basis of a body weight fluctuation range for prescribed consecutive days, and a data transmitting unit 59 for notifying external terminal devices when it is determined by the determining unit 57 that the tendency has been seen.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a weight fluctuation monitoring system.

In recent years, the number of patients with chronic heart failure has been increasing. Many patients with chronic heart failure are repeatedly admitted to and discharged from the hospital as the condition worsens, causing problems such as an increase in in-patient medical costs and a decrease in the quality of life (QOL) of patients.
Patent Document 1 discloses a system using a device that records the weight of a person who has experienced heart failure or renal failure and can give a warning when the possibility of a disease recurrence becomes high.

JP2015-164502A

  However, in the conventional system, there is a problem that the accuracy of detecting that the patient is prone to a health condition deterioration such as disease recurrence is not sufficient.

  An object of the present invention is to provide a weight fluctuation monitoring system capable of improving the detection accuracy of a health condition deterioration tendency.

  In order to achieve the above object, a weight fluctuation monitoring system according to an aspect of the present invention includes a measuring unit that measures weight data of a user, and a communication unit that transmits a weight data measured by the measuring unit. A storage unit that stores the weight data and the measurement date of the weight data in association with each other, receives the weight data transmitted from the communication unit, and registers the weight data in association with the measurement date of the weight data in the storage unit The received data registration unit, whether or not the tendency is generated in the user of the scale using a predicted deterioration weight range that is generated based on a range of weight fluctuations for a predetermined number of consecutive days and indicates a tendency of deterioration of the health condition. And a weight variation monitoring device having a notification unit that performs notification to an external terminal device when the determination unit determines that the tendency is occurring.

  According to one aspect of the present invention, it is possible to provide a weight fluctuation monitoring system capable of improving the detection accuracy of a health condition deterioration tendency.

It is a block diagram for demonstrating the outline | summary of the weight fluctuation monitoring system by 1st Embodiment of this invention. It is a graph showing the body weight fluctuation | variation of the heart disease patient (alpha). It is a figure explaining the definition method of the deterioration prediction weight range in the weight fluctuation monitoring system by a 1st embodiment of the present invention. It is a flowchart which shows an example of the flow of the determination notification process in the weight fluctuation monitoring system by 1st Embodiment of this invention. It is a flowchart which shows an example of the flow of the deterioration tendency determination process in the weight fluctuation monitoring system by 1st Embodiment of this invention. It is a figure which shows an example of the weight data in the process target period of the deterioration tendency determination process in the weight fluctuation monitoring system by 1st Embodiment of this invention. It is a flowchart which shows an example of the flow of the deterioration tendency determination process in the weight fluctuation monitoring system by 2nd Embodiment of this invention. It is a figure which shows an example of the point conversion method of the weight data in the process target period of the deterioration tendency determination process in the weight fluctuation monitoring system by 2nd Embodiment of this invention. It is a figure explaining the correction method of the deterioration prediction weight range in the weight variation monitoring system by the modification of this invention. It is a flowchart which shows an example of the flow of the deterioration tendency determination process in the modification of 1st Embodiment of this invention. It is a flowchart which shows an example of the flow of the deterioration tendency determination process in the modification of 2nd Embodiment of this invention.

  Hereinafter, a weight fluctuation monitoring system according to a mode for carrying out the present invention (hereinafter referred to as “embodiment”) will be described with reference to FIGS. 1 to 8.

(First embodiment)
A weight fluctuation monitoring system according to a first embodiment of the present invention will be described with reference to FIGS.
As shown in FIG. 1, a weight fluctuation monitoring system 1 according to the present embodiment includes a weight scale 3 having a communication function, and a weight fluctuation monitoring apparatus 5 configured to be able to communicate with the weight scale 3 via the Internet. I have.

  First, an example of the configuration of the weight scale 3 will be described in detail. The weight scale 3 is used, for example, at the home of a user of the weight scale 3 (hereinafter referred to as “weight scale user”). As a weight scale user in the present invention, patients with heart diseases such as chronic heart failure are assumed.

  The weight scale 3 has a measuring unit 31 that measures weight data of a weight scale user. The measurement unit 31 starts measuring the weight data when the user of the weight scale is placed on the weight scale 3, and when the weight scale user detects that the standing position is maintained on the weight scale 3 for a certain period of time, Complete the measurement of the weight data of the total user.

  The weight scale 3 includes a data storage unit 33 that is a storage area such as a memory provided in the weight scale 3. When the data storage unit 33 detects that the measurement of the weight data by the measurement unit 31 is completed, the data storage unit 33 associates the weight data with the measurement date of the weight data (which may include the measurement time (hour minute second)). The registered weight data information is registered in the storage area. The weight data is accumulated in the data accumulation unit 33 every time it is measured by the measurement unit 31. Weight data information can be stored in the data storage unit 33 by a predetermined number. Further, identification information of the scale user is registered in the data storage unit 33. The identification information of the weight scale user is, for example, an identification number uniquely associated with the weight scale user.

  The weight scale 3 includes a data display unit 35 which is a liquid crystal display device provided on the surface (top plate) of the weight scale 3, for example. When the data display unit 35 detects that the measurement of the weight data by the measurement unit 31 is completed, the data display unit 35 displays the measured weight data value over a predetermined period. In addition, for example, the weight scale 3 is provided with an operation unit (not shown) configured by predetermined buttons and the like, and the weight scale 3 can be used to store past weight data by operating the operation unit by a weight scale user. The history may be acquired from the data storage unit 33 and displayed on the data display unit 35.

  The weight scale 3 includes a communication unit 37 that transmits the weight data measured by the measurement unit 31. The communication unit 37 transmits / receives data to / from the weight fluctuation monitoring device 5 via the Internet. When the communication unit 37 detects that the measurement of the weight data by the measuring unit 31 is completed, the weight data monitoring device converts the weight data information (weight data and measurement date) and the identification information of the weight scale user into a unique format. Send to 5.

  The weight fluctuation monitoring system 1 according to the present embodiment is devised in view of ease of use by elderly people who are often included in weight scale users, particularly heart disease patients assumed as weight scale users. ing. For example, the weight scale 3 is formed in a relatively large size as compared with a weight scale that is generally sold. Thus, even a user of a weight scale with reduced visual acuity and leg muscle strength can be prevented from being stepped off when using the weight scale 3, for example, and weight data can be easily measured. Further, the surface of the weight scale 3 may be provided with a slip stopper and a mark for guiding the weight scale user to an appropriate measurement position. Thereby, since the user of the scale can measure the weight, it can be placed at an appropriate position on the scale 3, so that the scale user can be prevented from falling on the scale 3, and the weight is easily measured. can do.

  In the weight fluctuation monitoring system 1 according to the present embodiment, the weight data information is automatically transmitted to the weight fluctuation monitoring device 5 by the communication unit 37 of the weight scale 3 when the weight scale user measures the weight data. At this time, for example, there is a case where transmission is performed via a wireless communication terminal device (for example, a Wi-Fi router). However, in the weight fluctuation monitoring system 1 according to the present embodiment, the weight data information is transmitted from the weight scale 3 to the weight fluctuation monitoring apparatus 5 without using another terminal device (for example, a smartphone or a tablet computer). As a result, even if the user of the scale is difficult to operate the electronic device or the like, the weight data information can be easily transmitted to the weight fluctuation monitoring device 5 simply by placing the weight on the scale 3 and measuring the weight. .

Next, an example of the configuration of the weight fluctuation monitoring device 5 will be described in detail.
The weight fluctuation monitoring device 5 is a server computer, for example. The server computer functions as the weight fluctuation monitoring apparatus 5 by deploying software for performing each operation described later of the weight fluctuation monitoring apparatus 5, for example. The weight fluctuation monitoring device 5 is configured to be able to communicate with an external terminal device (not shown) via the Internet. As an external terminal device connected to the weight fluctuation monitoring device 5, for example, a computer (hospital) installed in a hospital or the like where a doctor of a weight scale user (hereinafter sometimes referred to as “in-charge doctor”) works A terminal device (hospital-side terminal device) having a communication function, such as a side computer) or a facsimile machine. The doctor in charge can acquire and view processing results by the determination unit 57 described later and weight data of the weight scale user at any time using a hospital computer, for example. Although not shown in FIG. 1, the weight fluctuation monitoring device 5 has a display unit that can acquire and display (view) the results of processing by the determination unit 57 and weight data of a scale user at any time. May be.

  The weight fluctuation monitoring device 5 includes a storage unit 51 that stores weight data and a measurement date of the weight data in association with each other. The storage unit 51 is a predetermined storage area such as a memory provided in the weight fluctuation monitoring device 5. In the storage unit 51, the weight data and the measurement date of the weight data are associated with the identification information of the weight scale user. The storage unit 51 stores weight data of a plurality of weight scale users. The storage unit 51 stores identification information of the weight scale user and detailed information such as the name, age, and pathological condition of the weight scale user in association with each other.

  The weight fluctuation monitoring device 5 also includes a reception data registration unit 53 that receives the weight data transmitted from the communication unit 37 in the weight scale 3 and registers it in the storage unit 51 in association with the measurement date of the weight data. ing. When registering the weight data information (weight data and measurement date), the reception data registration unit 53 registers the weight data identification information and the weight data information transmitted from the communication unit 37 in the same manner in the storage unit 51. To do. In addition to the weight data information transmitted from the weight scale 3, the reception data registration unit 53 receives data input by a doctor in charge using a hospital computer connected to the weight fluctuation monitoring device 5, The data is stored in the storage unit 51 as necessary.

  Further, the weight fluctuation monitoring device 5 includes a deterioration prediction weight range generation unit 55 that generates a deterioration prediction weight range that is generated based on a range of weight fluctuations for a predetermined number of consecutive days and indicates a tendency of deterioration of the health condition. As described above, since a heart disease patient is assumed as a user of the weight scale 3, the deterioration of the health state includes the deterioration of the disease state. Details of the predicted deterioration weight range will be described later.

  In addition, the weight fluctuation monitoring device 5 uses the predicted deterioration weight range generated by the predicted deterioration weight range generation unit 55 to determine whether or not a tendency of deterioration of the medical condition (deterioration of health condition) has occurred in the weight scale user. It has the determination part 57 which determines. Details of the operation of the determination unit 57 will be described later.

  In addition, the weight fluctuation monitoring device 5 is a hospital-side terminal device (an example of an external terminal device) when the determination unit 57 determines that a tendency of deterioration of a disease state (health state) has occurred in the weight scale user. Has a data transmission unit 59 (an example of a notification unit). The data transmission unit 59 includes, for example, an electronic mail (contention tendency) including at least information on the weight scale user stored in the storage unit 51 and information indicating that the weight scale user has a tendency to deteriorate the medical condition. Notification email) is sent to a preset destination. Further, the data transmission unit 59 transmits information having the same content as the deterioration tendency notification mail to the facsimile which is the hospital side terminal device. A plurality of destinations may be set in advance, for example, a doctor in charge. As a result, the doctor in charge is notified that there is a tendency for the patient's medical condition to deteriorate. The tendency of the disease state to deteriorate means a state in the previous stage where the disease state shifts to a deteriorated state (for example, a state where the patient is hospitalized without being able to cope with a hospital visit or home visit).

Here, the specific example of the fluctuation | variation of the weight data of the heart disease patient assumed as a weight scale user is shown using FIG.
FIG. 2 is a graph showing weight fluctuation over about 3 months for a patient with chronic heart failure. The vertical axis of FIG. 2 represents the weight value (unit: kg) measured by the weight scale 3, and the horizontal axis represents the number of days. The reference weight line Sw, the upper limit weight line Uw, and the lower limit weight line Dw shown in FIG. 2 will be described later.

  In FIG. 2, weight fluctuations for each of the nine days from the 22nd to the 30th day, from the 40th to the 48th day, and from the 56th to the 64th day are surrounded by an ellipse broken line frame. It is. In the three periods shown in FIG. 3, when the tendency of fluctuation (in this case, an increase tendency) of the body weight indicated by the broken line frame appeared, patient α was observed to deteriorate in the pathological condition of chronic heart failure according to his / her doctor's examination. From this, the inventor of the present invention generates a range of weight fluctuation (deterioration predicted weight range) in which the deterioration of the pathological condition is predicted based on the tendency of the weight fluctuation when the pathological condition has been diagnosed in the past. The present inventors have invented a system that detects a tendency of deterioration in the pathological condition based on the predicted deterioration weight range and notifies the doctor in charge.

  It has been pointed out that weight management is important for prognosis management in heart diseases such as chronic heart failure. More specifically, in chronic heart failure, blood flow decreases as cardiac function decreases, and urine volume decreases. When the amount of urine decreases, water accumulates in the body and the body weight increases. Therefore, the increase in body weight in patients with chronic heart failure is one of the tendencies of worsening the pathological condition. For these reasons, when specific weight fluctuations (mainly increasing weight) are detected in patients with chronic heart failure, notification is given to the doctor in charge, and the intervention of the doctor in charge (diagnosis, lifestyle guidance, etc.) Encouraging is effective in preventing the disease state of patients with chronic heart failure from becoming worse.

Here, the deterioration prediction weight range which the deterioration prediction weight range production | generation part 55 produces | generates is demonstrated using FIG.
FIG. 3 is a diagram schematically illustrating an example of the predicted deterioration weight range Pr applied to virtual coordinate axes. In the coordinate axes shown in FIG. 3, the vertical axis represents weight (unit: kg), and the horizontal axis represents days. When defining the predicted deterioration weight range Pr, first, the weight range start point Sp and the weight range end point Ep are determined. The weight range start point Sp is a point indicating the value of the weight data on the day when the weight scale user has been diagnosed as having deteriorated in the past (hereinafter referred to as “range start date”), for example. The range start point date is, for example, the day when the user of the scale has been hospitalized or hospitalized due to the deterioration of the disease state. Further, the weight range end point Ep is a point indicating the value of the weight data on a date (hereinafter referred to as “range end date”) that is a predetermined period back from the range start point date. In the weight fluctuation monitoring device 5 according to the present embodiment, the predicted deterioration weight range Pr is generated based on a range of weight fluctuations for a predetermined number of consecutive days. More specifically, a period from a range start date to a range end date ( Hereinafter, a predicted deterioration weight range Pr is defined on the basis of weight fluctuation over the “deterioration prediction period”. In this example, the range end date is set to a date (-9 days) that is 9 days back from the range start point date (0 day). Therefore, in this example, the deterioration prediction period is 10 days. Usually, the interval between visits to patients with chronic heart failure is often set to about one month. In the weight fluctuation monitoring apparatus 5 according to the present embodiment, the deterioration prediction period is set to a period shorter than one month in order to detect a tendency of deterioration of the pathological condition that has occurred in the scale user during the interval between visits.

  The weight range start point Sp and the weight range end point Ep are, for example, information input on the hospital computer connected to the weight fluctuation monitoring device 5 by the doctor in charge, received by the reception data registration unit 53 and stored in the storage unit 51. The When the information on the weight range start point Sp and the weight range end point Ep is acquired from the storage unit 51, the deterioration prediction weight range generation unit 55 virtually generates a coordinate axis as shown in FIG. 3, for example, and the weight range start point on the coordinate axis A straight line connecting Sp and the weight range end point Ep is defined as a deterioration prediction reference line S1. The slope of the deterioration prediction reference line S1 represents the tendency of weight fluctuation during the deterioration prediction period.

  Next, the deterioration predicted body weight range generation unit 55 sets a range in which the body weight value is increased or decreased by a certain range up and down with the deterioration prediction reference line S1 as a center line as a first evaluation range r1. The initial value of the range to be increased or decreased may be 10%, for example. This range can also be set for each patient. More specifically, the deterioration prediction weight range generation unit 55 increases the weight data value (55 kg in this example) indicated by the weight range start point Sp on the range start date (in this example, by 10%) (in this example, 55 kg × 1.1 = 60.5 kg) is set as the increase point Up1. In addition, the weight data value (50 kg × 1.1 = 55 kg in this example) obtained by increasing the weight data value (50 kg in this example) indicated by the weight range end point Ep by 10% is set as the increase point Up2 on the virtual coordinate axis. A straight line connecting the increase point Up1 and the increase point Up2 is defined as an increase line Ul1. Moreover, the deterioration prediction weight range generation unit 55 reduces the weight data value indicated by the weight range start point Sp by 10% (in this example, 55 kg × (1-0.1) = 49.5 kg). Is the decrease point Dp1, and the weight data value (50 kg × (1-0.1) = 45 kg in this example) obtained by reducing the weight data value indicated by the weight range end point Ep by 10% is set as the decrease point Dp2. A straight line connecting the decrease point Dp1 and the decrease point Dp2 on the coordinate axis is defined as a decrease line Dl1.

  The deterioration prediction weight range generation unit 55 defines a parallelogram-shaped range formed by connecting four points of the increase point Up1, the increase point Up2, the decrease Dp1, and the decrease point Dp2 as the first evaluation range r1. The first evaluation range r1 is sandwiched between the upper first evaluation range r1a, which is a region sandwiched between the deterioration prediction reference line S1 (an example of the center line) and the increase line Ul1, and the deterioration prediction reference line S1 and the decrease line D11. And the lower first evaluation range r1b, which is a defined area. Thus, the first evaluation range r1 is a region surrounding the deterioration prediction reference line S1. In other words, the first evaluation range r1 is formed by weight data included in a parallelogram-shaped range formed by connecting four points of the increase point Up1, the increase point Up2, the decrease Dp1, and the decrease point Dp2. .

  Next, the deterioration prediction weight range generation unit 55 sets a region obtained by removing the first evaluation range r1 from a region in which the weight value is increased or decreased by a certain range up and down with the deterioration prediction reference line S1 as a center line, as a second evaluation range r2. . The range to be increased or decreased is set larger than the value set in the first evaluation range r1. The initial value may be 15%, for example. This range can also be set for each patient. More specifically, the deterioration prediction weight range generation unit 55 increases the weight data value (55 kg in this example) indicated by the weight range start point Sp on the range start point date by 15% (in this example, 55 kg × 1.15 = 63.25 kg) is set as an increase point Up3. Further, the weight data value (50 kg × 1.15 = 57.5 kg in this example) obtained by increasing the weight data value indicated by the weight range end point Ep (50 kg in this example) by 15% is set as the increase point Up4, and the virtual coordinate axis A straight line connecting the increase point Up3 and the increase point Up4 is referred to as an increase line Ul2. Further, the deterioration prediction weight range generation unit 55 reduces the weight data value indicated by the weight range start point Sp by 15% (in this example, 55 kg × (1−0.15) = 46.75 kg). Is the reduction point Dp3, and the weight data value (in this example, 50 kg × (1−0.15) = 42.5 kg) obtained by reducing the weight data value indicated by the weight range end point Ep is the reduction point Dp4. A straight line connecting the decrease point Dp3 and the decrease point Dp4 on the virtual coordinate axis is defined as a decrease line Dl2.

  Thus, the predicted deterioration weight range generation unit 55 starts from the parallelogram-shaped deterioration prediction weight range Pr formed by connecting the four points of the increase point Up3, the increase point Up4, the decrease point Dp3, and the decrease point Dp4. A region excluding the evaluation range r1 is defined as a second evaluation range r2. The second evaluation range r2 is an upper second evaluation range r2a that is sandwiched between the increase line Ul1 and the increase line Ul2, and a lower second evaluation that is a range sandwiched between the decrease line Dl1 and the decrease line Dl2. And a range r2b. The upper second evaluation range r2a is a range obtained by further expanding the upper first evaluation range r1a by 5% in the increase direction of the weight data, and the lower second evaluation range r2b is a decrease in the weight data of the lower first evaluation range r1b. This is a range further expanded by 5% in the direction.

  In this way, the predicted deterioration weight range generation unit 55 generates a range constituted by the first evaluation range r1 and the second evaluation range r2 as the predicted deterioration weight range Pr. The predicted deterioration weight range Pr is formed by a plurality of weight data (deterioration predicted weight data) forming the first evaluation range r1 and the second evaluation range r2. When the predicted deterioration weight range generation unit 55 generates the predicted deterioration weight range Pr, each point defining the predicted deterioration weight range Pr (weight range start point Sp, weight range end point Ep, increase points Up1 to Up4, decrease points Dp1 to Dp4). Is stored in the storage unit 51.

  Furthermore, the predicted deterioration body weight range generation unit 55 stores information indicating the predicted deterioration body weight data forming a range corresponding to each day in the deterioration prediction period of the predicted deterioration weight range Pr in the storage unit 51. Specifically, a point on the deterioration prediction reference line S1 (each day reference point), a point on the increase line Ul1 (each day first increase point), a point on the increase line Ul2 (each day second increase point), The point on the decrease line Dl1 (the first decrease point on each day) and the point on the decrease line Dl2 (the second decrease point on each day) are stored. The deterioration predicted body weight data included in the range from each day reference point to each day first decrease point forms the upper first evaluation range r1a for each day in the deterioration prediction period, and from each day reference point to each day first decrease point The predicted deterioration weight data included in the range up to 1 forms the lower first evaluation range r1b for each day of the deterioration prediction period, and the deterioration prediction included in the range from the first increase point on each day to the second increase point on each day. The weight data forms the upper second evaluation range r2a for each day of the deterioration prediction period, and the deterioration prediction weight data included in the range from the first decrease point to the second decrease point for each day The lower second evaluation range r2b is formed.

  As shown in FIG. 3, since the deterioration prediction reference line S1 has a slope, the value of the deterioration prediction body weight data forming the deterioration prediction weight range Pr centered on the deterioration prediction reference line S1 is the value of each day in the deterioration prediction period. It depends on. In this example, the deterioration prediction weight data that forms the deterioration prediction weight range Pr on the 0th day of the deterioration prediction period is the deterioration prediction from “63.25 kg” indicated by the increase point Up3 to “46.75 kg” indicated by the decrease point Dp3. Weight data. Further, the deterioration predicted body weight data that forms the deterioration prediction body weight range Pr on the -9th day of the deterioration prediction period is the predicted deterioration body weight from “57.5 kg” indicated by the increase point Up4 to “42.5 kg” indicated by the decrease point Dp4. It is data. Thus, in the example shown in FIG. 3, the value of the predicted deterioration weight data included in the predicted deterioration weight range Pr corresponding to the 0th day of the deterioration prediction period is gradually smaller toward the −9th day of the deterioration prediction period. Value.

  Thus, the predicted deterioration weight range in the present embodiment is based on, for example, the trend of weight fluctuation when diagnosed in the past that the condition of the weight scale user has deteriorated, in particular, the weight gain tendency. Generated for each. Therefore, the storage unit 51 stores information on a plurality of predicted deterioration weight ranges uniquely associated with the weight scale user. The generation process of the predicted predicted weight range by the predicted predicted weight range generation unit 55 is executed when the doctor in charge of the scale user inputs the weight range start point Sp and the weight range end point Ep from the hospital computer. For example, the weight scale user starts using the weight scale 3, that is, monitoring of the patient's weight fluctuation using the weight fluctuation monitoring device 5 is started by the doctor in charge. It is done at the timing. Moreover, you may make it review the deterioration estimated weight range Pr for every timing of a change of a living environment of a weight scale user, or every season.

  Next, the notification process executed by the data transmission unit 59 based on the determination result of the determination unit 57 from the determination process executed by the determination unit 57 of the weight variation monitoring device 5 according to the present embodiment with reference to FIGS. An example of the flow up to will be described. FIG. 4 is a flowchart illustrating an example of a flow of notification processing (determination notification processing) executed based on the determination processing and the result of the determination processing. FIG. 5 is a flowchart illustrating an example of the flow of the deterioration tendency determination process determination process in the determination unit 57. The deterioration tendency determination process will be described later. FIG. 6 is a diagram illustrating the degree of coincidence between the fluctuation of the weight data of the weight scale user measured during the processing target period that is the target of the deterioration tendency determination process and the predicted deterioration weight range Pr. First, an example of the flow of determination notification processing will be described with reference to FIG.

(Step S1)
In step S <b> 1, the determination unit 57 determines whether there is weight data of the weight scale user measured on the processing day (hereinafter may be referred to as “today”). The determination unit 57 searches the weight data of the weight scale user stored in the storage unit 51, and when the number of pieces of weight data matching the date and the identification information of the weight scale user is one or more. It is determined that there is today's weight data of the user of the scale, and the process proceeds to step S3. On the other hand, the determination unit 57 searches the weight data of the weight scale user stored in the storage unit 51, and when there is no data matching the date of today and the identification information of the weight scale user, the weight It is determined that there is no today's weight data of the total user, and the determination notification process is terminated without executing the processes after step S3.

(Step S3)
In step S <b> 3, the determination unit 57 sets today's date as a process target date, and proceeds to the process of step S <b> 5. Specifically, the determination unit 57 temporarily stores today's date as a processing target date in a predetermined storage area in the weight fluctuation monitoring device 5.

(Step S5)
In step S5, the determination unit 57 executes a deterioration tendency determination process for determining whether or not a deterioration tendency of the pathological condition is occurring in the weight scale user using the predicted deterioration weight range Pr, and proceeds to the process of step S7. In the deterioration tendency determination process, the determination unit 57 determines whether or not the weight condition of the weight scale user has a tendency to deteriorate depending on the degree to which the weight data of the weight scale user in the processing target period coincides with the predicted deterioration weight range Pr. To do. Details of the deterioration tendency determination process will be described later.

(Step S7)
In step S7, the data transmission unit 59 determines whether or not the prediction range suitability flag is on. The prediction range suitability flag is a flag that represents the result of the deterioration tendency determination process by the determination unit 57, and is stored in a predetermined storage area in the weight fluctuation monitoring device 5. That the prediction range conformity flag is in the ON state represents that the determination unit 57 has determined that a tendency of deterioration of the disease state has occurred in the weight scale user in the deterioration tendency determination process of step 5. In addition, the fact that the prediction range suitability flag is in an off state indicates that the determination unit 57 did not determine that a deterioration tendency of the pathological condition has occurred in the weight scale user in the deterioration tendency determination process of step 5. If the data transmission unit 59 determines that the prediction range suitability flag is in the on state, the data transmission unit 59 proceeds to the process of step 9. On the other hand, when the data transmission unit 59 determines that the prediction range suitability flag is in the off state, the data transmission unit 59 ends the determination notification process without executing the process of step 9.

(Step S9)
In step S <b> 7, the data transmission unit 59 is set in advance based on the fact that the prediction range matching flag indicating that the determination unit 57 has determined that the weight scale user has a tendency to deteriorate the disease state is in the on state. A notification process for notifying the destination is executed. Specifically, the data transmission unit 59 transmits a deterioration tendency notification mail to a preset destination. Further, information having the same content as the further worsening notification mail may be transmitted to the facsimile machine that is the hospital terminal device. A plurality of destinations may be set in advance, for example, a doctor in charge.

  In the weight fluctuation monitoring device 5 according to the present embodiment, the determination notification process shown in FIG. 4 is executed once per day at a predetermined time. The determined time is, for example, any time between 12:00 and 14:00. The user of the weight scale is instructed to start measuring the weight data when he / she wakes up in the morning, for example, at the start of using the weight scale 3. If it is 12:00 to 14:00, there is a high probability that the doctor in charge is in the hospital on the hospital treatment day. For this reason, when it is determined in the weight fluctuation monitoring device 5 that the weight scale user has a tendency to worsen the pathological condition and the notification is made, the doctor in charge or the nurse contacts the weight scale user. Can be done quickly. The determination notification process is executed for each weight scale user stored in the storage unit 51.

  Next, an example of the flow of the deterioration tendency determination process (step S5 in FIG. 4) in the present embodiment will be described using FIGS. 5 and 6 with reference to FIG. The deterioration tendency determination process in the present embodiment starts from today, and is a period that goes back the same number of days as the deterioration prediction period (for example, 10 days) when generating the deterioration prediction weight range Pr (hereinafter, “processing target period”). The weight variation of the weight scale user and the degree of coincidence of the predicted predicted weight range Pr), the presence or absence of a deterioration tendency of the pathological condition of the weight scale user. For this reason, in the deterioration tendency determination processing, the processing from step S51 to step S55, step S63, and step S65, which will be described later, is repeatedly executed according to the processing target period.

(Step S51)
In step S <b> 51, the determination unit 57 acquires all the weight data on the processing target day for the weight scale user. Specifically, the determination unit 57 reads the processing target date stored in a predetermined storage area of the weight variation monitoring device 5 and matches the processing target date and the weight scale user identification information from the storage unit 51. Get all the data. At the start of the deterioration tendency determination process, today's date is set as the process target day. In the second and subsequent iterations, dates from 1 to 9 days after the current date are sequentially set as the processing target date. Since the weight scale user may measure the weight data a plurality of times in one day, there may be a plurality of weight data on the processing target day. The determination part 57 will move to the process of step S53, if the weight data of a process target day are acquired.

(Step S53)
In step S53, the determination unit 57 acquires the number of weight data items (the number of data items to be processed) on the processing target day, stores it in a predetermined storage area of the weight fluctuation monitoring device 5, and proceeds to the processing of step S55.

(Step S55)
In step S55, the determination unit 57 determines whether or not the number of weight data items on the processing target day is one or more. If the determination unit 57 determines that the number of weight data items on the processing target day is 1 or more, the determination unit 57 proceeds to the process of step S57. On the other hand, if the determination unit 57 determines that the number of weight data items on the processing target day is 0, the determination unit 57 determines that the weight scale user has not measured the weight data on the current processing target date, and the processing of step S59 is performed. Move.

(Step S57)
In step S57, when the determination unit 57 sets 1 to the process counter value i, the process proceeds to step S59. The processing counter value i is stored in a predetermined storage area of the weight fluctuation monitoring device 5. The process counter value i is a counter value for measuring the number of body weight data on which the prediction range suitability determination process in step S59 described later is performed among the body weight data on the processing target day.

(Step S59)
In step S59, the determination unit 57 adds 1 to the measurement missing days counter value m, and proceeds to the process of step S69. The measurement deficiency days counter value m is stored in a predetermined storage area of the weight fluctuation monitoring device 5. The measurement deficiency days counter value m is a counter value for measuring the number of days when the weight data is missing without the weight scale user measuring the weight data using the weight scale 3 in the processing target period. .

(Step S61)
In step S61, the determination unit 57 determines whether or not the i-th weight data of the processing target date is included in the first evaluation range r1 of the deterioration predicted weight range Pr of the processing target day. If the determination unit 57 determines that the i-th weight data on the processing target date is included in the first evaluation range r1 of the predicted deterioration weight range Pr, the process proceeds to step S63. On the other hand, if the determination unit 57 determines that the i-th weight data on the processing target date is not included in the first evaluation range r1 of the predicted deterioration weight range Pr, the process proceeds to step S65. The determination process of the weight data included in the predicted deterioration weight range Pr by the determination unit 57 (prediction range suitability determination process) will be described later.

(Step S63)
In step S63, the determination unit 57 adds 1 to the range matching counter value k, ends the processing for the current processing target date, and proceeds to processing in step S69. The range adaptation counter value k is stored in a predetermined storage area of the weight fluctuation monitoring device 5. The range matching counter value k is a counter value for measuring the number of weight data determined to be included in the first evaluation range r1 in step S61 among the weight data in the processing target period.

(Step S65)
In step S65, the determination unit 57 adds 1 to the process counter value i and proceeds to the process of step S67.

(Step S67)
In step S <b> 67, the determination unit 57 determines whether or not the processing counter value i exceeds the number of weight data items on the processing target day. If the determination unit 57 determines that the processing counter value i has exceeded the number of weight data items on the processing target day, the determination unit 57 ends the processing for the current processing target date, and proceeds to the processing of step S69. On the other hand, when the determination unit 57 determines that the processing counter value i does not exceed the number of weight data items on the processing target day, the determination unit 57 returns to the processing of step S57 to repeat the processing for the current processing target date. In this manner, the determination unit 57 determines the weight of the processing target day until it is determined that the weight data of the processing target date is included in the first evaluation range r1 of the predicted deterioration weight range Pr in the prediction range suitability determination processing in step S61. The determination process in step S61 is repeated for the data.

(Step S69)
In step S <b> 69, the determination unit 57 sets a date one day later from the current processing target date as a new processing target date, and proceeds to the processing of step S <b> 71. That is, the determination unit 57 updates the processing target date stored in the predetermined storage area of the weight fluctuation monitoring device 5 to the date of the current processing target date minus one day. Thereby, the process for one day for a process target day is complete | finished.

(Step S71)
In step S71, the determination unit 57 determines whether or not the updated processing target date is outside the processing target period. Specifically, the determination unit 57 determines whether or not the updated processing target date is a date before the processing target period (10 days starting from today). When the determination unit 57 determines that the updated processing target date is a date before the -9th day from today (the -10th day from today) and is outside the processing target period, the determination unit 57 performs processing related to the processing target period. The process ends and the process proceeds to step S73. On the other hand, when the determination unit 57 determines that the updated processing target date is the date from today to -9th day and is within the processing target period, the process returns to the process of step S51 and returns to the processing target date for one day. Repeat the process.

(Step S73)
In step S73, the determination unit 57 determines whether or not the range matching counter value k is equal to or greater than a threshold value. Here, the threshold value to be compared with the range adaptation counter value k is a value indicating 50% of the number of weight data (effective weight data) of the weight scale user who is valid in the processing target period. The number of effective body weight data refers to the number obtained by subtracting the measurement lacking days counter value m from the number of body weight measurements (10) when the body weight data is measured once a day in the processing target period (10 days). For example, when the measurement missing days counter value m is 0 and the weight scale user measures the weight data every day during the processing target period, the number of effective weight data is 10. If the measurement deficiency days counter value m is 3, and the user of the scale does not measure the weight data for three days in the processing target period, the number of effective weight data is seven.

  For example, when the number of effective weight data is 10, the determination unit 57 sets the threshold value to 5 (10 × 50% = 5). Since the threshold value is rounded down, the threshold value is set to 3 (7 × 50% = 3.5) when the number of effective weight data is seven. That the range adaptation counter value k is equal to or greater than the threshold indicates that the adaptation rate, which is the ratio of the body weight data that matches the predicted body weight range Pr of the effective body weight data number, is 50% or more. Therefore, in step S73, if the determination unit 57 determines that the range conformance counter value k is equal to or greater than the threshold, that is, the conformity rate is 50% or greater, the process of step S75 assumes that the patient's weight has a tendency to worsen the disease state Move on. On the other hand, if the determination unit 57 determines that the range conformance counter value k is not equal to or greater than the threshold value, that is, the conformity rate is less than 50%, it is determined that there is no tendency for the weight scale user to deteriorate the condition, and the process proceeds to step S77.

(Step S75)
In step S75, the determination unit 57 sets the prediction range suitability flag to the on state, and moves the process to step S77. By setting the prediction range conformity flag to the on state, the data transmission unit 59 detects that the determination unit 57 has determined that the patient's weight condition has a tendency to deteriorate in the deterioration tendency determination process, and the step In S9 (see FIG. 4), notification processing is executed. In step S75, the determination unit 57 may link the determination result indicating that the patient's weight scale has a tendency to worsen the disease state and the date on which the determination result is derived, and register the result in the storage unit 51. .

(Step S77)
In step S77, the determination unit 57 clears the counter values (processing counter value i, range matching counter value k, and measurement missing days counter value) used in the deterioration tendency determination process, ends the deterioration tendency determination process, and determines the notification. Return to the process (see FIG. 4).

  Here, a method of determining the weight data included in the predicted deterioration weight range Pr by the determination unit 57 in the prediction range adaptation process in step S61 will be described with reference to FIG. P1 to P10 shown in FIG. 6 represent weight data of the scale user during the processing target period.

  Data P10 shown in FIG. 6 is the weight data of the day (today) that is the first starting point of the processing target period, and corresponds to the weight data of the 0th day of the deterioration prediction period of the deterioration prediction weight range Pr shown in FIG. To do. Further, the data P9 is the weight data of the day that goes back one day from today, and corresponds to the weight data of the first day in the deterioration prediction period shown in FIG. Similarly, the data P8 is the weight data of the day 2 days from today and corresponds to the weight data of the -2 day of the deterioration prediction period, and the data P7 is the weight data of the date 3 days from today. Corresponding to the weight data on the third day of the deterioration prediction period, the data P6 corresponds to the weight data on the day four days back from today, corresponds to the weight data on the fourth day of the deterioration prediction period, and the data P5 is today. The data P4 corresponds to the weight data of the fifth day of the deterioration prediction period and the data P4 is the weight data of the day six days back from today, and corresponds to the deterioration data of -6. Corresponding to the weight data of the day, the data P3 is the weight data of the day 7 days after the day, corresponds to the weight data of the -7 day of the deterioration prediction period, and the data P2 is the date 8 days from the current day Weight data on the -8th day of the deterioration prediction period Corresponding to the data, data P1 is worsening the forecast period a body weight data of the date of back 9 days from today - corresponding to the ninth day of the body weight data. In the example shown in FIG. 6, the weight scale user measures the weight data once for each day of the processing target period.

  The determination unit 57 determines whether or not the weight data of the processing target day is included in the deterioration prediction weight range Pr corresponding to the day corresponding to the deterioration prediction period in the prediction range adaptation process. Specifically, if the date to be processed is today, the determination unit 57 includes a plurality of deteriorations in which the weight data of the weight scale user forms a deterioration prediction weight range Pr corresponding to the 0th day of the deterioration prediction period. It is determined whether or not it matches any of the predicted weight data. For example, in the example shown in FIG. 3, the deteriorated body weight prediction data forming the deterioration prediction body weight range Pr corresponding to the 0th day of the deterioration prediction period is the p range from Dp3 to Up3, that is, 46.75 kg to 63.25 kg. Range data. Similarly, the determination unit 57 forms the predicted deterioration weight range Pr corresponding to each day from the -1 day to the -9 day of the deterioration prediction period if the processing target date is -1 day to -9 days from today. It is determined whether any of the deteriorated weight prediction data to be matched matches the value of the weight data on the processing target day.

  In the example illustrated in FIG. 6, in step S61, the determination unit 57 determines that the processing target date = today's weight data (data P10), the processing target date = today-2 days of weight data (data P8), and the processing target date = today. -3 day weight data (data P7), processing date = today-6 days weight data (data P4), processing date = today-7 days weight data (data P3), processing date = today -8 The seven weight data of the weight data of the day (data P2) and the processing object date = today-9 days of weight data (data P1) coincide with the deteriorated weight prediction data forming the first evaluation range r1, that is, the first evaluation. It is determined that it is included in the range r1 (YES in step S61). Further, the determination unit 57 includes the weight data (data P9) of the processing target date = today-1 in step S61 because it matches the deteriorated weight prediction data forming the second evaluation range r2, and is included in the first evaluation range r1. No (NO in step S61), the weight data (data P6) for the processing target date = today-4th and the weight data (data P5) for the processing date = today-5 are outside the predicted deterioration weight range Pr. It is determined that it is not included in the first evaluation range r1 (NO in step S61). Therefore, the range matching counter value k is 7 during the process of step S73. In step S73, the determination unit 57 determines that the range matching counter value k = 7 is equal to or greater than the threshold value 5 (number of measurements 10 times × 50% = 5) (Yes in step S73), and notifies the weight scale user. It is determined that there is a tendency for the disease state to deteriorate (step S75).

  As described above, in the deterioration tendency determination process shown in FIG. 5, the determination unit 57 has the same length as the measurement period (deterioration prediction period) of a plurality of deterioration prediction body weight data that is the weight data forming the deterioration prediction body weight range. The number of weight data corresponding to any of a plurality of predicted deterioration weight data among weight data for a period (processing target period) and registered in the storage unit 51 by the reception data registration unit 53 is determined in advance. When it is equal to or greater than the threshold value, it is determined that the patient's weight scale has a tendency to worsen the disease state. Further, the predicted deterioration weight range Pr is generated for each weight scale user, for example, based on past weight data of each weight scale user. Thereby, the weight fluctuation monitoring device 5 according to the present embodiment can improve the accuracy of detecting that the patient's weight scale has a tendency to deteriorate the pathological condition.

  Further, in the deterioration tendency determination process, when the determination unit 57 determines that the health condition of the weight scale user is deteriorating, the data transmission unit 59 causes a deterioration tendency in the condition of the weight scale user. To the hospital side terminal device. This allows the doctor in charge to alert the doctor in charge of the patient's condition before the next hospital visit, so that the doctor in charge Appropriate measures such as telephone life guidance and medical examinations can be taken before the condition of the user becomes worse. Therefore, since the weight fluctuation monitoring system 1 can promote the weight scale user to receive an appropriate response from the doctor in charge before the disease state becomes worse, the weight scale user can maintain the lull state of the weight scale user and The quality of the product can be improved.

  In addition, the determination unit 57 determines whether or not the patient's weight condition tends to deteriorate due to a change (transition) in the weight data of the weight scale user during a predetermined period using the predicted deterioration weight range Pr as described above. In addition to the process of determining whether or not the value of one piece of weight data exceeds a threshold (weight upper limit threshold or weight lower limit threshold), it is determined whether or not the patient's weight condition tends to deteriorate. (Threshold excess determination processing) may be performed. Here, returning to FIG. 2, the weight upper limit threshold and the weight lower limit threshold will be described.

  In FIG. 2, a reference weight line Sw indicating the value of the reference weight of the heart disease patient α, an upper limit weight line Uw indicating the weight upper limit threshold of the heart disease patient α, and a lower limit weight line Dw indicating the lower limit threshold of the heart disease patient α are shown. It is shown in the figure. The reference body weight value indicated by the reference body weight line Sw is a body weight calculated from the body weight of the heart disease patient α in a normal period (period when the pathological condition is stable). When the weight in a heart disease patient exceeds the upper body weight threshold or the lower body weight threshold, it is determined that the patient has a tendency to deteriorate in health (pathological condition). For example, when the weight of a heart disease patient exceeds a weight upper limit threshold, the risk of a decrease in cardiac function tends to be high. In addition, when the weight of a heart disease patient exceeds the lower body weight threshold, it is considered that the risk of dehydration due to the influence of a diuretic administered to promote urine excretion tends to be high. .

  In the weight fluctuation monitoring system 1, the determination unit 57 uses the weight upper limit threshold value and the weight lower limit threshold value calculated from the reference weight value of the weight scale user and the reference weight value to determine whether the weight scale user has a health condition including a tendency to deteriorate. It is determined whether or not a deterioration tendency is occurring. The reference weight value may be automatically calculated using the weight of a certain period of time during which the pathological condition is stable, accumulated in the weight fluctuation monitoring system 1 by the user of the scale, or the doctor in charge uses the hospital computer. May be used.

  In addition, the weight upper limit threshold is a value obtained by adding about 2 to 3 kg to the reference weight value of the weight scale user. In the heart disease patient α shown in this example, since the reference weight value is 75 kg, the weight upper limit threshold indicated by the upper limit weight line Uw is set to 78 kg. In addition, the weight lower limit threshold is a value obtained by subtracting about 2 to 3 kg from the reference weight value of the scale user. In the heart disease patient α shown in this example, since the reference weight value is 75 kg, the lower limit body weight threshold indicated by the lower limit weight line Dw is set to 72 kg.

  The determination unit 57 performs the threshold excess determination process once a day, for example. Further, the data transmission unit 59 notifies the destination set in advance based on the determination unit 57 determining that the value of the weight data exceeds the weight upper limit threshold or the weight lower limit threshold by the threshold excess determination process. Do. The weight fluctuation monitoring system 1 according to the present embodiment performs the threshold excess determination process in combination with the above-described determination notification process, so that the data transmission unit 59 is in charge even when a sudden deterioration tendency occurs in the pathological condition of the weight scale user. A doctor can be notified. A plurality of destinations may be set in advance, for example, a doctor in charge.

(Second Embodiment)
Next, a weight fluctuation monitoring system according to a second embodiment of the present invention will be described. The weight fluctuation monitoring system according to the present embodiment is the same as the weight fluctuation monitoring system 1 according to the first embodiment, except that the deterioration tendency determination process (step S5) executed by the determination unit in the weight fluctuation monitoring device is different from the first embodiment. And the same operational effects. Therefore, hereinafter, the components of the weight fluctuation monitoring system and the weight fluctuation monitoring system according to the present embodiment will be described using the same reference numerals as those of the weight fluctuation monitoring system 1 and the weight fluctuation monitoring system 1 shown in FIG.

Here, an example of the deterioration tendency determination process by the determination unit 57 of the weight fluctuation monitoring apparatus 5 according to the present embodiment will be described with reference to FIG.
FIG. 7 is a flowchart for explaining an example of the flow of the deterioration tendency determination process in the present embodiment. In FIG. 7, the same reference numerals as those in the flowchart of the deterioration tendency determination process shown in FIG. 5 are given to steps for performing the same process as in the first embodiment in the deterioration tendency determination process in the present embodiment, and the description thereof is omitted.

  As illustrated in FIG. 7, when the deterioration tendency determination process is started, the determination unit 57 performs the process from step S51 to step S61 illustrated in FIG. 5. If the determination result in step S61 is YES, the process proceeds to step S62. If the decision result in the step S61 is NO, the process moves to a step S64-1.

(Step S62)
In step S62, the determination unit 57 determines that the i-th body weight data of the processing target day is included in the first evaluation range r1 of the predicted deterioration weight range Pr in step S61, and the target day score is 10. Points (hereinafter, points may be abbreviated as “Pt”) are added, and the process proceeds to step S65. The target day score is a variable stored in a predetermined storage area of the weight fluctuation monitoring device 5. In the present embodiment, the determination unit 57 determines whether the weight data on the processing target date matches the first evaluation range r1 or the second evaluation range r2 of the predicted deterioration weight range Pr (see FIG. 6), or the weight data. Different points are added to the target day score depending on whether it is outside the range of the predicted deterioration weight range Pr. A method for converting the weight data points will be described later.

(Step S64-1)
In step S64-1, the determination unit 57 determines whether or not the i-th weight data on the processing target date is included in the second evaluation range r2 of the deterioration prediction weight range Pr. If the determination unit 57 determines that the i-th weight data of the processing target date is included in the second evaluation range r2 of the predicted deterioration weight range Pr, the process proceeds to step S64-2. On the other hand, if the determination unit 57 determines that the i-th weight data of the processing target date is not included in the second evaluation range r2 of the predicted deterioration weight range Pr, the process proceeds to step S65.

(Step S64-2)
In step S64-2, the determination unit 57 adds 5 points to the target day score, and proceeds to the process of step S65. After executing the process of step S65, the determination unit 57 moves the process to step S67. If the determination result of step S67 is YES, the process moves to step S68-1, and if the determination result of step S67 is NO, step S68- The processing is moved to 3.

  Here, a method for converting the weight data into points will be described with reference to FIG. FIG. 8 is a diagram for explaining the weight data point conversion method in the processing target period in the form of a table, taking the weight data P1 to P10 shown in FIG. 6 as an example. As shown in FIG. 8, scores are associated with each of the predicted deterioration weight data forming the predicted deterioration weight range Pr. Specifically, the deterioration predicted body weight data forming the upper second evaluation range r2a in the deterioration predicted body weight range Pr is 5 points (Pt), the deterioration predicted body weight data forming the upper first evaluation range r1a and the lower first weight range data. Ten points are associated with the predicted deterioration body weight data forming the evaluation range r1b, and five points are associated with the predicted deterioration body weight data forming the lower second evaluation range r2b. Moreover, 0 points | pieces are matched with the weight data outside the range of the deterioration prediction weight range Pr. Therefore, the determination unit 57 converts the weight data of the processing target period that matches the predicted deterioration weight data forming the first evaluation range r1 into 10 points, and matches the predicted deterioration weight data forming the second evaluation range r2. The body weight data is converted into 5 points, and the body weight data in the processing target period that matches the body weight data outside the predicted deterioration weight range Pr is converted into 0 points.

  In this way, in the predicted deterioration body weight data, different points are associated with the data forming the first evaluation range r1 and the data forming the second evaluation range r2. That is, the weight data of the processing target period is converted depending on which of the evaluation ranges (the first evaluation range r1 and the second evaluation range r2) constituting the deterioration prediction weight range Pr matches the deterioration prediction weight data. The points are weighted. In the present embodiment, the weight data of the processing target period that coincides with the deterioration predicted weight data forming the first evaluation range r1 surrounding the deterioration prediction reference line S1 (see FIG. 3), the deterioration prediction that forms the second evaluation range r2. It is configured to be converted into a higher score than the weight data of the processing target period that matches the weight data. Note that the score shown in FIG. 8 is an example, and the score associated with the first evaluation range r1 and the second evaluation range r2 is not limited to this, and the score associated with the first evaluation range r1 is the second evaluation range. It is only necessary to set the score higher than the score associated with the range r2.

  If an example of the weight data in the processing target period shown in FIG. 6 is applied to the above-described score conversion method, in step S61 (see FIG. 7), the processing target day of the respective weight data in the processing target period is today-9th day and -The data P1, P2, which are the first weight data on the seventh day, and the data P4, P7, which are the first weight data on the -6th and -3th days, are determined. It is determined by the unit 57 that it matches the predicted deterioration weight data forming the upper first evaluation range r1a, converted to 10 points, and 10 points are added to the target day score in step S62. Similarly, in step S61, the data P3, P8, and P10, which are the weight data of the first case on the present day -7 day, -3 day, and today, form the lower first evaluation range r1b by the determination unit 57. It is determined that it matches the predicted deterioration weight data, and is converted to 10 points, and in step S62, 10 points are added to the target day score. In step S64-1, the data P9, which is the first weight data on the first day of the processing target day, is matched with the predicted deterioration weight data forming the lower second evaluation range r2b by the determination unit 57. It is determined, converted into 5 points, and 5 points are added to the target day score in step S64-2. Moreover, since data P5 and P6 do not correspond to the deterioration prediction body weight data which form any of the 1st evaluation range r1 and the 2nd evaluation range r2, and are converted into 0 points, a score is not added to a target day score.

  In the example shown in FIG. 6, there is one piece of weight data for each processing target day, but there may be a plurality of pieces of weight data for one weight scale user on the processing target day. In this case, the process of step S61 or step S64-1 is performed on the total weight data of the weight scale user on each processing target day, and the points converted from the corresponding weight data are accumulated in the target day score.

(Step S68-1)
Returning to FIG. 7, in step S <b> 68-1, the determination unit 57 reads the data number of the processing target day from the predetermined storage area of the weight fluctuation monitoring device 5, and determines whether the data number of the processing target day is 2 or more. Determine. If the determination part 57 determines with the number of data items of a process target day being 2 or more, it will transfer to the process of step S68-2. On the other hand, when the determination unit 57 determines that the number of data items on the processing target day is not two or more but one, the process proceeds to step S68-3.

(Step S68-2)
In step S68-2, the determination unit 57 calculates the average value of the target day scores, adds the calculated average value to the cumulative score, and proceeds to the process of step S68-4. The cumulative score is a variable stored in a predetermined storage area of the weight fluctuation monitoring device 5. In the present embodiment, when there are two or more weight data of weight scale users on the processing target date, that is, when the target date score includes a value obtained by converting two or more weight data to a score, Only the measurement values (weight data) in the evaluation target range (inside the parallelogram formed by the deterioration prediction weight range Pr shown in FIG. 3) are score conversion targets, and each measurement value of the score conversion target is scored (scoring) The average value is added to the cumulative score as the value of the target day score.

(Step S68-3)
In step S68-3, the determination unit 57 adds the value of the target day score to the cumulative score, and proceeds to the process of step S68-4. Thus, the value of the target day score in the processing target period (in this example, 10 days) is accumulated in the accumulated score.

(Step S68-4)
In step S68-4, the determination unit 57 clears the value of the target day score, that is, substitutes 0 for the target day score, and proceeds to the process of step S69. If the determination part 57 performs the same process as the same step of the deterioration tendency determination process in 1st Embodiment in step S69 and step S71, it will move a process to step S72.

(Step S72)
In step S72, the determination unit 57 determines whether or not the cumulative score value is equal to or greater than a threshold value. Here, the threshold value to be compared with the cumulative score is a value calculated from the integrated value (full score) of the highest score at which the weight data in the processing target period can be converted. For example, it may be a value indicating 50% of the integrated value. In this embodiment, the perfect score is calculated by integrating the number of effective weight data and the highest score among the weight data converted. In this example, the number of effective body weight data is the number of effective body weight data, which is the same number as the number of days (the number of days in the deterioration prediction period) on which the body weight data used to generate the deterioration predicted body weight range Pr is measured. For this reason, the number of effective weight data (10) × (10 points) = 100 points is a perfect score. In this embodiment, the number of effective body weight data is always a constant value (10), so the threshold value in this embodiment is always set to 50 points, which is 50% of the full score (100 points). If the determination unit 57 determines that the cumulative score is equal to or greater than the threshold value, that is, the cumulative score is equal to or greater than 50 points, the process proceeds to step S75. Thereby, in step S75, it is determined that the prediction range conformity flag is set to the on state, and it is determined that the weight scale user has a tendency to deteriorate the medical condition based on the cumulative score being 50 points or more. Is detected. On the other hand, if the cumulative score is not greater than or equal to the threshold, that is, if the cumulative score is less than 50, the determination unit 57 proceeds to the process of step S76.

  If it demonstrates using the example shown in FIG. 6, 75 points | pieces are accumulate | stored in the accumulation score at the time of the process of step S72. As shown in FIG. 8, there are four pieces of weight data that coincide with the predicted deterioration weight data forming the upper first evaluation range r1a of the deterioration predicted weight range Pr, so 40 points (10 points × 4), Since there are three weight data that match the predicted deterioration weight data forming one evaluation range r1b, 30 points (10 points × 3), the weight data that matches the prediction deterioration weight data forming the lower second evaluation range r2b is 1 Therefore, 5 points (5 points × 1) are added as the cumulative score, and the total is 75 points. Therefore, in this example, since the cumulative score is 50 points or more, the determination unit 57 determines that the weight scale user has a tendency to deteriorate the disease state.

(Step S76)
In step S76, the determination unit 57 substitutes 0 for the value of the cumulative score, clears the cumulative score, ends the deterioration tendency determination process, and returns to the determination notification process (see FIG. 4).

  Returning to the determination notification process, when it is determined by the data transmission unit 59 that the prediction range suitability flag is on (YES in step S7), the weight is determined in the notification transmission process as described in the first embodiment. The fact that there is a tendency for the condition of the patient to deteriorate is transmitted to the hospital terminal. Moreover, the weight fluctuation monitoring system 1 according to the present embodiment may be configured to perform the threshold excess determination processing as in the first embodiment.

As described above, in the weight fluctuation monitoring system 1 according to the present embodiment, scores are associated with each of the plurality of predicted deterioration weight data forming the predicted deterioration weight range Pr, and the determination unit 57 determines the plurality of deteriorations. Each of the weight data for a period (processing target period) of the same length as the measurement period (deterioration prediction period) of the predicted weight data and registered in the storage unit 51 by the reception data registration unit 53 is deteriorated by a plurality of deteriorations. When converted to the score associated with the matching predicted deterioration weight data of the predicted weight data, and the total of the converted scores is equal to or greater than a predetermined threshold, the user of the scale has a tendency to deteriorate the pathological condition Determine that it has occurred.
Further, the plurality of predicted deterioration weight data is different in data for forming the first evaluation range r1 (an example of the first region) and data for forming the second evaluation range r2 (an example of the second region). Are associated.

  Further, in the weight fluctuation monitoring system 1 according to the present embodiment, the second evaluation range is the case where the score to which the weight data of the processing target period is converted coincides with the first evaluation range r1 constituting the deterioration prediction weight range Pr. Weighting is performed so that the score is higher than that in the case of matching with the predicted deterioration weight data forming any of r2. Thereby, the body weight fluctuation | variation monitoring system 1 can improve more the detection accuracy of the tendency of a health condition (pathological condition) deterioration.

(Modification)
In the weight fluctuation monitoring system 1 according to the first embodiment, the determination unit 57 uses the predicted deterioration weight range Pr generated by the predicted deterioration weight range generation unit 55 in the deterioration tendency determination process (see FIG. 4) in step S5. Although it has been determined whether or not the patient's weight scale has a tendency to deteriorate, the present invention is not limited to this. The determination unit 57 corrects the predicted deterioration weight range Pr based on today's weight data of the weight scale user at the time of executing the deterioration tendency determination process, and uses the corrected predicted deterioration weight range Pr to determine the deterioration tendency determination process. May be configured to execute.

  The deterioration tendency determination process using the corrected predicted weight range Pr after the correction and the corrected predicted weight range Pr after correction will be described using FIGS. 9 to 11 with reference to FIG. The determination unit 57 first determines the difference between the weight range start point Sp and the current weight data in the predicted deterioration weight range Pr (deterioration predicted weight range Pr before correction) generated in advance by the predicted deterioration weight range generation unit 55 for the weight scale user. (Value of weight data indicated by weight point start point Sp before correction−value of weight data of today) is calculated. In this example, it is assumed that the predicted deterioration weight range Pr before correction is the predicted deterioration weight range Pr shown in FIG. 3, and the weight data of the user of the scale is today 50 kg. In this case, the above-described difference is 5 kg (= 55 kg-50 kg). Next, the determination unit 57 applies the difference (5 kg) to the weight range end point Ep, the increase points Up1 to Up4, and the decrease points Dp1 to Dp4 to correct the predicted deterioration weight range Pr. As a result, as shown in FIG. 9, a corrected predicted deterioration weight range Pr reflecting today's weight data is set in the uncorrected predicted deterioration weight range Pr. Each point of the weight range start point Sp, the weight range end point Ep, the increase points Up1 to Up4, and the decrease points Dp1 to Dp4 constituting the corrected predicted deterioration weight range P shown in FIG. 9 is the deterioration prediction before correction shown in FIG. The weight is corrected to a position indicating the value of the weight data 5 kg less than each point of the weight range Pr.

  FIG. 10 is a flowchart illustrating an example of the flow of the deterioration tendency determination process in the modification of the first embodiment. As shown in FIG. 10, in the deterioration tendency determination process in the present modification, when the deterioration tendency determination process is started, the deterioration predicted body weight range Pr is first corrected in step S81, and the process proceeds to step S51. In step S81, the predicted deterioration weight range Pr is corrected as described with reference to FIG. In this modification, the process after step S51 performs the deterioration tendency determination process executed by the weight fluctuation monitoring system 1 according to the first embodiment except that the deterioration predicted weight range Pr corrected in step S81 is used (see FIG. 5). The description is omitted because it is the same as.

  The correction of the above-described deterioration predicted body weight range Pr can be applied also in the deterioration tendency determination process in the second embodiment. FIG. 11 is a flowchart illustrating an example of the flow of a deterioration tendency determination process in a modification of the second embodiment. As shown in FIG. 11, in the deterioration tendency determination process in the present modification, when the deterioration tendency determination process is started, the deterioration predicted body weight range Pr is first corrected in step S81, and the process proceeds to step S51. In step S81, the predicted deterioration weight range Pr is corrected as described with reference to FIG. In this modified example, the processing after step S51 is a diagram deterioration tendency determination process (see FIG. 7) executed by the weight fluctuation monitoring system 1 according to the second embodiment except that the deterioration predicted weight range Pr corrected in step S81 is used. ) And the description thereof is omitted.

  In this way, by correcting the deterioration predicted body weight range Pr at the start of the deterioration tendency determination process, the deterioration prediction body weight range generated in advance by the deterioration prediction body weight range generation unit 55 due to the change in the reference body weight cannot be applied. The user of the weight scale can also determine the presence or absence of a tendency of deterioration of the pathological condition from the tendency of changes in the weight data.

  Further, in the weight fluctuation monitoring system 1 according to the first embodiment, the determination unit 57 determines whether the weight scale user uses the weight data in the processing target period that coincides with the first evaluation range r1 in the predicted deterioration weight range Pr. Although it was determined whether or not a tendency of deterioration of the disease state occurred, the present invention is not limited to this. The determination unit 57 determines that the patient's condition tends to deteriorate depending on the number of weight data in the processing target period that coincides with the predicted deterioration weight range Pr including the second evaluation range r2 in addition to the first evaluation range r1. It may be determined whether or not it has occurred.

  In the weight fluctuation monitoring system 1 according to the first and second embodiments, the weight fluctuation monitoring device 5 executes the determination notification process (see FIG. 4) once a day. However, the present invention is not limited to this. . The weight fluctuation monitoring device 5 may be configured to execute the determination notification process a plurality of times a day. The weight fluctuation monitoring device 5 may be configured to execute the determination notification process when the reception data registration unit 53 receives a request for execution of the determination notification process from the hospital computer. Accordingly, the weight fluctuation monitoring device 5 can execute the determination notification process at a timing desired by the doctor in charge, and can transmit a notification to the hospital computer when the patient's weight scale has a tendency to deteriorate the pathological condition.

  In addition, the data transmission unit 59 of the weight fluctuation monitoring device 5 is configured to notify the hospital side terminal when the weight scale user has not measured the weight data for a predetermined number of days or more (for example, 5 days or more). May be. As a result, the weight fluctuation monitoring system 1 allows the doctor or nurse in charge to contact the weight scale user and their family members to encourage the weight scale user to measure the weight data, or the weight scale user has an abnormality. It is possible to generate an opportunity to confirm whether or not the user is doing.

  In addition, the data transmission unit 59 of the weight fluctuation monitoring device 5 displays a weight fluctuation report indicating the fluctuation of the weight data for one month stored in the storage unit 51, for example, in accordance with the timing when the weight scale user visits the hospital. You may be comprised so that it may transmit to a hospital side terminal. The timing at which the weight scale user visits the hospital may be input from the hospital computer and registered in the storage unit 51 by the reception data registration unit 53, or the weight scale user is provided in the weight scale 3 on the day of the visit. It may be transmitted to the weight fluctuation monitoring device 5 from the communication unit 37 of the weight scale 3 by pressing a predetermined button. When the scale user visits the hospital, the doctor or nurse in charge gives advice and encouragement to the scale user while looking at the weight change report. Can be maintained and improved.

  The weight scale 3 of the weight variation monitoring system 1 of the present invention may have a sound output unit that outputs sound. When the voice output unit detects that the measurement of the weight data by the measurement unit 31 is completed, the voice output unit may output a buzzer sound or a melody sound, or a voice message including the value of the measured weight data (for example, “weight is , ○ kg ”etc.) may be output.

  The weight scale 3 may be provided with a lighting device having a plurality of (for example, three) lamps on the top board. For example, the lighting device may be configured to indicate the progress of measurement of the weight data by the lighting state of the lamp. In this case, for example, when the user of the weight scale starts measuring the weight data with the weight scale 3, the three lamps are turned on one by one, and finally the weight data measurement is completed when all three lamps are turned on. It shows that. Further, the lamp of the lighting device may be configured to indicate a transmission state of weight data information and the like to the weight fluctuation monitoring device 5 by the communication unit 37. In this case, when the communication unit 37 starts transmitting data to the weight fluctuation monitoring device 5, the three lamps are turned on one by one, and finally the data transmission is completed when all three lamps are turned on. Indicates.

  The weight scale 3 of the present invention may be configured to be able to communicate with devices other than the weight fluctuation monitoring device 5. For example, the weight fluctuation monitoring system 1 further includes a simple input device for inputting a physical condition by the weight scale user, and the physical condition information input by the weight scale user is transmitted to the weight fluctuation monitoring apparatus 5 via the weight scale 3. It may be configured as follows. For example, each simple input device has three buttons that indicate that the physical condition is good, normal, or bad, and the user of the weight scale presses any one of the three buttons so that the day is displayed via the weight scale 3. May be configured to be transmitted to the weight fluctuation monitoring device 5. Thereby, the doctor in charge can view physical condition information in addition to the weight data of the weight scale user from the hospital computer, for example. In addition to the simple input device, the weight fluctuation monitoring system 1 includes a predetermined blood pressure meter, blood glucose meter, activity meter, arterial blood oxygen saturation (SpO2) measuring device (pulse oximeter) that can communicate with the weight meter 3. Various measuring devices such as the above may be included. Thereby, the doctor in charge can confirm the state of diseases other than heart disease (diabetes, hypertension, chronic obstructive pulmonary disease (COPD, etc.)) affecting the weight scale user by using a hospital computer or the like. .

As mentioned above, although preferred embodiment and its modification of this invention were described referring an accompanying drawing, this invention is not limited to this embodiment etc. It will be apparent to those skilled in the art that various changes and modifications can be made within the scope of the claims, and these are of course within the technical scope of the present invention. Is done.

DESCRIPTION OF SYMBOLS 1 Weight fluctuation monitoring system 3 Weight scale 5 Weight fluctuation monitoring apparatus 31 Measurement part 33 Data storage part 35 Data display part 37 Communication part 51 Storage part 53 Reception data registration part 55 Deterioration prediction weight range generation part 57 Determination part 59 Data transmission part Pr Predicted weight range r1 First evaluation range r1a Upper first evaluation range r1b Lower first evaluation range r2 Second evaluation range r2a Upper second evaluation range r2b Lower second evaluation range

Claims (4)

A weight scale having a measurement unit for measuring weight data of a user, and a communication unit for transmitting weight data measured by the measurement unit;
A storage unit for storing the weight data and the measurement date of the weight data in association with each other;
A reception data registration unit that receives the weight data transmitted from the communication unit and registers it in the storage unit in association with the measurement date of the weight data;
A determination unit that determines whether or not the tendency is generated in a user of the scale using a predicted deterioration weight range that is generated based on a range of weight fluctuations for a predetermined number of consecutive days and indicates a tendency of deterioration of the health state, And a weight fluctuation monitoring apparatus comprising a weight fluctuation monitoring apparatus having a notification section for notifying an external terminal device when the judgment section determines that the tendency has occurred. Each of the plurality of predicted deterioration weight data, which is weight data forming the predicted deterioration weight range, has a score associated therewith,
The determination unit is weight data for a period of the same length as a measurement period of the plurality of predicted deterioration weight data, and each of the weight data registered in the storage unit by the reception data registration unit is the plurality of deteriorations. When the total weight of the converted score is equal to or higher than a predetermined threshold value, the tendency is generated in the user of the scale when the predicted weight data is converted to the score associated with the matching predicted deterioration weight data. The weight fluctuation monitoring system according to claim 1, wherein the weight fluctuation monitoring system is determined. The predicted deterioration weight range is composed of a first region surrounding a center line of the predicted deterioration weight range, and a second region that is a region obtained by removing the first region from the predicted deterioration weight range,
The weight variation monitoring system according to claim 2, wherein the plurality of predicted deterioration weight data are associated with different scores for data forming the first region and data forming the second region. The determination unit is weight data for a period of the same length as a measurement period of a plurality of predicted deterioration weight data that is weight data forming the predicted deterioration weight range, and is registered in the storage unit by the reception data registration unit When the number of weight data that matches one of the plurality of predicted deterioration weight data among the weight data that has been determined is equal to or greater than a predetermined threshold value, it is determined that the tendency has occurred in the user of the weight scale The weight fluctuation monitoring system according to claim 1.

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