Health management systems, health management methods and programs

Abstract

To provide a health management system, a method for managing a health, and a program that can accurately determine a body weight by suppressing influence of disturbance.SOLUTION: The present invention includes: a first acquisition unit for acquiring, as load information, the total load of a bed used by a user and the things on the bed, which is detected by a measurement device; a second acquisition unit for acquiring an image taken by an imaging device for imaging the state of the bed used by the user; a disturbance specification unit for specifying disturbance information from the taken image acquired by the second acquisition unit; and a first estimation unit for estimating the body weight of the user on the basis of the load information acquired by the first acquisition unit and disturbance information specified by the disturbance specification unit.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] The present invention relates to a health management system, a health management method, and a program.

Background Art

[0002] In recent years, due to the accelerating decline in the birthrate and aging of the population, the shortage of caregivers has become a social problem. According to a survey by the Ministry of Health, Labour and Welfare, the number of care recipients among those aged 65 and over is increasing year by year, especially at a high rate among those aged 75 and over. Causes of the need for care among the late elderly aged 75 and over include sarcopenia and frailty. These are thought to be affected by physical and mental changes associated with aging, such as malnutrition and weight loss.

[0003] In preventing and countermeasures for pre-disease states such as sarcopenia and frailty, nutritional management of the elderly and the like is essential. As an evaluation index for such nutritional management, the transition of body weight values is often used. In many care facilities, the body weight of the elderly and the like is measured once a month, but when there are many residents or when the elderly and the like are in a wheelchair or bedridden, working hours and manpower are required.

[0004] In order to detect signs of pre-disease at an early stage, it is necessary to obtain in detail information related to the health of the elderly and the like, including body weight, on a daily basis. As means for realizing these, for example, a technique for constantly measuring the body weight of a care recipient on a bed using a load sensor that can be installed on the pedestal of the bed, or estimating the state of the care recipient using the load sensor, has been disclosed (for example, Patent Document 1).

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, the technology described in Patent Document 1 allows for weight measurement of a subject lying in bed by pre-measuring the load of the bed and subtracting the load of the bed when the subject is in bed. However, this method is susceptible to disturbances such as blankets on the bed or beverages brought into the bed by the subject, making it difficult to measure accurate weight.

[0006] The present invention has been made in view of the above, and aims to provide a health management system, a health management method, and a program that can accurately determine body weight while suppressing the effects of external disturbances. [Means for solving the problem]

[0007] To solve the above-mentioned problems and achieve the objective, the present invention is characterized by comprising: a first acquisition unit that acquires load information of the total load of the bed used by the user and the items placed on the bed, as detected by a measuring device; a second acquisition unit that acquires an image captured by an imaging device that images the state of the bed used by the user; a disturbance identification unit that identifies disturbance information from the image captured by the second acquisition unit; and a first estimation unit that estimates the user's weight value based on at least the load information acquired by the first acquisition unit and the disturbance information identified by the disturbance identification unit. [Effects of the Invention]

[0008] According to the present invention, it is possible to accurately determine body weight while suppressing the effects of external disturbances. [Brief explanation of the drawing]

[0009] [Figure 1] Figure 1 shows an example of the configuration of a health management system according to an embodiment. [Figure 2] Figure 2 shows an example of the hardware configuration of the information processing device according to the present invention. [Figure 3] Figure 3 shows an example of the configuration of a functional block in an information processing device according to the embodiment. [Figure 4] Figure 4 shows an example of an initial setup screen in an information processing device according to the embodiment. [Figure 5] Figure 5 is a diagram showing an example of a screen displaying the changes in weight values ​​in the information processing device according to the embodiment. [Figure 6] Figure 6 is a flowchart showing an example of the operation flow of a health management system according to the present invention. [Figure 7] Figure 7 shows an example of the configuration of a functional block in the information processing device according to Modification 1. [Figure 8] Figure 8 shows an example of the configuration of a health management system related to Modification 2. [Modes for carrying out the invention]

[0010] The health management system, health management method, and program according to the present invention will be described in detail below with reference to the attached drawings. Furthermore, the present invention is not limited by the following embodiments, and the components in the following embodiments include those that are easily conceivable by those skilled in the art, substantially identical, and so-called equivalents. Moreover, various omissions, substitutions, modifications, and combinations of components can be made without departing from the spirit of the following embodiments.

[0011] Furthermore, computer software refers to programs related to the operation of a computer, and other information used for computer processing that is similar to a program (hereinafter, computer software is referred to as "software"). Application software is a general term for software used to perform specific tasks, within the classification of software. On the other hand, an operating system (OS) is software that controls the computer and enables application software and other programs to utilize computer resources. The operating system performs basic management and control of the computer, such as input / output control, management of hardware such as memory and hard disks, and process management. Application software operates by utilizing the functions provided by the operating system. A program is a set of instructions for a computer, combined to produce a specific result. Furthermore, something similar to a program refers to something that is not a direct instruction to the computer and therefore cannot be called a program, but has similar properties to a program in that it defines the processing of the computer. For example, a data structure (the logical structure of data, represented by the interrelationships between data elements) falls under the category of something similar to a program.

[0012] (Configuration of the health management system) Figure 1 is a diagram showing an example of the configuration of a health management system according to this embodiment. The configuration of the health management system 1 according to this embodiment will be described with reference to Figure 1.

[0013] The health management system 1 shown in Figure 1 is a system for monitoring the health status of elderly people, people with disabilities, or people with underlying medical conditions (hereinafter referred to as "users") based on information obtained from a measuring device installed on the bed used by the user and a camera that captures images of the bed's condition, based on the user's weight and physical condition. As shown in Figure 1, the health management system 1 comprises an information processing device 10, a measuring device 20, and a camera 21.

[0014] The information processing device 10 is an information processing device such as a PC (Personal Computer), smartphone, smartwatch, tablet terminal, or server device for monitoring the user's weight and health status based on load information detected by a measuring device 20 installed on the leg base of the bed used by the user, and images of the bed's condition captured by a camera 21.

[0015] The measuring device 20 is installed on the base of the bed used by the user subject to health management, and is a device that detects the total load of the bed and the user in bed as load information. When the user is out of bed, the measuring device 20 detects the total load of the bed, etc., excluding the user's weight, as load information. That is, the total load here is the load of the bed used by the user and anything that may be placed on the bed (including the user). The measuring device 20 is equipped with, for example, a load sensor that detects the total load. This load sensor may be installed on the base of the bed, or it may be realized by having a load measurement function in the bed itself. The measuring device 20 may, for example, detect load information at predetermined intervals and detect load information in response to user operation. The measuring device 20 also acquires the time when the total load was detected (detection time) and outputs the load information including this time. This makes it possible to handle the load information as time-series data. The measuring device 20 outputs the detected load information to the information processing device 10. The measuring device 20 is not limited to the above-described configuration for detecting load information, and can use known technologies or sensing equipment, for example, it may be equipped with contact-type or non-contact-type sensors.

[0016] Furthermore, the measuring device 20 is not limited to being composed of one device, but may be composed of multiple devices. In this case, if the measuring device 20 is composed of multiple devices, the load information may be transmitted individually from each device, or the load information may be collected by one of the devices and then transmitted from that device.

[0017] The camera 21 is an imaging device for imaging the state of the bed used by the user. The camera 21 outputs the captured image obtained by imaging to the information processing device 10. Note that the captured image may be any of still image or moving image data. In this case, when the captured image is still image data, the camera 21 may perform imaging at a predetermined period, for example, or may perform imaging according to a user operation.

[0018] The communication method between the information processing device 10, the measurement device 20, and the camera 21 is not particularly limited, and various methods can be adopted. For example, data communication may be performed via Bluetooth (registered trademark), wireless LAN (Local Area Network), or the Internet.

[0019] As shown in FIG. 1, the health management system 1 includes the information processing device 10, the measurement device 20, and the camera 21, but may be regarded as being constituted by the information processing device 10 alone.

[0020] (Hardware Configuration of Information Processing Device) FIG. 2 is a diagram showing an example of the hardware configuration of the information processing device according to the embodiment. The hardware configuration of the information processing device 10 according to the present embodiment will be described while referring to FIG. 2.

[0021] As shown in FIG. 2, the information processing device 10 includes a CPU (Central Processing Unit) 501, a ROM (Read Only Memory) 502, a RAM (Random Access Memory) 503, an auxiliary storage device 505, a media drive 507, a display 508 (an example of a display device), a network I / F 509, a keyboard 511, a mouse 512, a DVD (Digital Versatile Disc) drive 514, and a sensor I / F 515.

[0022] The CPU 501 is an arithmetic unit that controls the operation of the entire information processing unit 10. The ROM 502 is a non-volatile memory device that stores programs for the information processing unit 10. The RAM 503 is a volatile memory device used as the work area of ​​the CPU 501.

[0023] The auxiliary storage device 505 is a storage device such as an HDD (Hard Disk Drive) or SSD (Solid State Drive) that stores various information such as load information detected by the measuring device 20 and captured images taken by the camera 21, as well as programs, etc. The media drive 507 is a device that controls the reading and writing of data to the recording medium 506, such as flash memory, according to the control of the CPU 501.

[0024] The display 508 is a display device composed of liquid crystal or organic EL (Electro-Luminescence) or the like, which displays various information such as cursors, menus, windows, characters, or images.

[0025] The network interface 509 is an interface for communicating data with external devices such as the information processing device 10 using a network. The network interface 509 is, for example, a NIC (Network Interface Card) that supports Ethernet (registered trademark) and is capable of communication compliant with TCP (Transmission Control Protocol) / IP (Internet Protocol), etc.

[0026] The keyboard 511 is an input device for selecting characters, numbers, various instructions, and moving the cursor. The mouse 512 is an input device for selecting and executing various instructions, selecting the object to be processed, and moving the cursor.

[0027] The DVD drive 514 is a device that controls the reading and writing of data to DVDs 513, such as DVD-ROMs or DVD-Rs (Digital Versatile Disk Recordable), which are examples of removable storage media.

[0028] Sensor I / F 515 is an interface that connects to the measuring device 20 and the camera 21 to receive load information and captured images, respectively. If the information processing device 10 communicates data with at least one of the measuring device 20 or the camera 21 via a wireless LAN or the internet, the information processing device 10 should receive at least one of the load information or captured images via the network I / F 509.

[0029] The aforementioned CPU 501, ROM 502, RAM 503, auxiliary storage device 505, media drive 507, display 508, network interface 509, keyboard 511, mouse 512, DVD drive 514, and sensor interface 515 are connected to each other via a bus 510, including an address bus and a data bus.

[0030] Note that the hardware configuration of the information processing device 10 shown in Figure 2 is an example, and it is not necessary to include all the components shown in Figure 2, or other components may be included. Furthermore, the information processing device 10 is not limited to being a single information processing device as shown in Figure 2, but may be composed of multiple network devices such as multiple information processing devices.

[0031] (Configuration and operation of functional blocks in an information processing device) Figure 3 shows an example of the configuration of a functional block in the information processing device according to the embodiment. Figure 4 shows an example of the initial setup screen in the information processing device according to the embodiment. Figure 5 shows an example of a screen showing the weight value transition in the information processing device according to the embodiment. The configuration and operation of the functional block of the information processing device 10 according to this embodiment will be described with reference to Figures 3 to 5.

[0032] As shown in Figure 3, the information processing device 10 includes a first acquisition unit 101, a second acquisition unit 102, a disturbance identification unit 103, a first estimation unit 104, a second estimation unit 105, a determination unit 106, a display control unit 107, a display unit 108, a storage unit 109, a setting unit 110, and an input unit 111 (operation unit).

[0033] The first acquisition unit 101 is a functional unit that acquires load information detected by the measuring device 20 via the sensor I / F 515. The first acquisition unit 101 stores the acquired load information in the storage unit 109. The load information acquired sequentially from the measuring device 20 by the first acquisition unit 101 can be treated as time-series data based on the detection time included in the excretion information. Alternatively, the excretion information may be treated as time-series data based on the time the load information was acquired by the first acquisition unit 101.

[0034] The second acquisition unit 102 is a functional unit that acquires the captured image from the camera 21 via the sensor I / F 515. The captured image includes the time it was captured, so that it can be handled as time-series data. The second acquisition unit 102 stores the acquired image in the storage unit 109.

[0035] The disturbance identification unit 103 is a functional unit that identifies disturbance information from the captured image acquired by the second acquisition unit 102. Here, disturbance information refers to information indicating factors that may cause disturbances to the load information detected by the measuring device 20, which are added from the initial state of the bed used by the user. Disturbance factors include, for example, plastic bottles, blankets, futons, mattresses, eating utensils, books, water pillows, remote controls, tissues, cushions, sensors, waterproof sheets, side rails, actions of people touching the user, changes in body position, diapers, intravenous drips, swelling, turning over in bed, body movements, etc., and are not limited to objects, but refer to all factors that may cause disturbances to the load information detected by the measuring device 20, including actions of third parties and the user. The disturbance information includes disturbance factor information indicating the disturbance factor and load information caused by that factor. Note that the disturbance identification unit 103 is not limited to identifying disturbance information from the captured image, but may also identify it based on information input by the user using the input unit 111, for example. Furthermore, the disturbance information will include a specified time, allowing it to be treated as time-series data.

[0036] Furthermore, the disturbance identification unit 103 may identify disturbance information from captured images using an object recognition model generated by learning an AI (Artificial Intelligence) algorithm. In this case, a learning algorithm such as a CNN (Convolutional Neural Network) can be used. That is, in this case, the disturbance identification unit 103 identifies objects recognized by the learning model from the captured images as disturbance factors, and generates disturbance information including disturbance factor information indicating the factor and information on the load of the factor. In this case, the load of the factor may be identified, for example, from a database of loads for each factor that has been registered in advance, or it may be identified from the difference in load information acquired by the first acquisition unit 101 before and after the disturbance occurs. In this way, by associating the disturbance factor information with the information on the load of the factor and performing learning using the above-described algorithm, it becomes possible to identify disturbance information with high accuracy, and the accuracy of estimating the user's weight value using the disturbance information can also be improved.

[0037] Furthermore, the disturbance identification unit 103 does not need to perform object recognition (factor identification) using a learning model for each image captured by the second acquisition unit 102. For example, it may perform object recognition using an object recognition model when a difference occurs before and after the captured image, or when a change occurs in the load information acquired by the first acquisition unit 101. Also, the camera 21 itself may be kept running at all times, or it may be activated only when a change occurs in the load information acquired by the first acquisition unit 101. In addition, the disturbance information identified by the disturbance identification unit 103 may be editable by the input unit 111.

[0038] Furthermore, the information processing device 10 may have a generation unit that generates the object recognition model described above, or the object recognition model may be generated by an external device and used by the information processing device 10.

[0039] Furthermore, the disturbance identification unit 103 can determine that a disturbance has occurred if a difference occurs in the captured image, even without using AI, and can determine the load of the disturbance factor from the difference in load information acquired by the first acquisition unit 101 before and after the disturbance occurred. In this case, the disturbance identification unit 103 cannot identify the specific content of the disturbance factor, but the disturbance factor information can simply be information indicating that a disturbance has occurred.

[0040] The first estimation unit 104 is a functional unit that estimates the user's weight based on load information acquired by the first acquisition unit 101, disturbance information identified by the disturbance identification unit 103, and setting information set by the setting unit 110, which will be described later. For example, the first estimation unit 104 can determine the user's weight by subtracting the load of the bed in its initial state, which does not include the user's weight as determined from the setting information, and the load of the disturbance factors indicated by the disturbance information, from the load information, which is the total load when the user is in bed. In this case, the first estimation unit 104 may determine whether or not the user is in bed based on the user's state estimated by the second estimation unit 105, which will be described later. However, if the user is out of bed, it is expected that the first estimation unit 104 will calculate a value close to 0 as the user's weight, so this calculated value should be excluded from the user's weight. In this way, by using the disturbance information identified by the disturbance identification unit 103 to estimate the user's weight, it becomes possible to estimate a highly accurate weight.

[0041] The first estimation unit 104 may calculate a moving average of the estimated weight over a predetermined period, and this moving average may be used as the final estimated weight of the user. This suppresses the influence of error factors that occur in the estimation process by the first estimation unit 104. The predetermined period for calculating the moving average can be arbitrarily set, for example, to a unit of one week, one month, six months, or one year.

[0042] Furthermore, if the increase or decrease in the weight value estimated by the first estimation unit 104 during the reference period exceeds a predetermined threshold, it may be determined that the weight value contains a disturbance. For example, the threshold may be the mean ± 2σ of the weight value during the reference period, or it may be possible to set an arbitrary weight value. Here, the reference period can be arbitrarily set to units such as one week, one month, six months, or one year. In addition, the weight value estimated by the first estimation unit 104 may be editable by the input unit 111.

[0043] The second estimation unit 105 is a functional unit that estimates the user's state based on the captured image acquired by the second acquisition unit 102. The user's state should include at least the states of being in bed and being out of bed, but other states such as sitting on the edge of the bed may also be estimated. The estimation of the user's state by the second estimation unit 105 may be based on load information acquired by the first acquisition unit 101, either in addition to or in addition to the captured image. Furthermore, the user's state estimated by the second estimation unit 105 may be editable by the input unit 111.

[0044] The determination unit 106 is a functional unit that determines whether or not there is an abnormality in the user's health condition, using at least one of the user's weight value estimated by the first estimation unit 104 and the user's condition estimated by the second estimation unit 105. For example, the determination unit 106 uses the time-series data of the weight value estimated by the first estimation unit 104 to determine that there is an abnormality in the health condition if there has been a predetermined increase or decrease in the weight value during the reference period. Here, the reference period can be arbitrarily set to units such as one week, one month, six months, or one year.

[0045] Furthermore, the determination unit 106 may determine the user's health status by associating the weight value estimated by the first estimation unit 104 during the reference period, a specific pattern of the state estimated by the second estimation unit 105, with disease risk (or disease). Here, the disease risk may be set arbitrarily for each user, or a publicly available database may be used.

[0046] Furthermore, the information processing device 10 may also include a notification unit that notifies the user of an abnormality if the determination unit 106 determines that the user's health condition is abnormal.

[0047] The display control unit 107 is a functional unit that controls the display operation of various screens and various information by the display unit 108. The display unit 108 is a functional unit that displays various screens and various information according to the control of the display control unit 107. The display unit 108 is realized by the display 508 shown in Figure 2.

[0048] For example, the display control unit 107 displays the user's health status, as determined by the determination unit 106, on the display unit 108. Alternatively, as shown in Figure 5, the display control unit 107 may display a health status display screen 1100 showing a graph of weight changes using time-series data of weight values ​​estimated by the first estimation unit 104 during a reference period. Here, the reference period can be arbitrarily set to units such as one week, one month, six months, or one year. Furthermore, as shown in Figure 5, if the determination unit 106 determines that there is an abnormality in the user's health status based on weight changes, etc., the display control unit 107 may display auxiliary information for creating a care plan for the user. Note that the display control unit 107 may display the health status, weight changes, and auxiliary information for creating a care plan on separate screens.

[0049] In addition to the information described above, the information displayed on the display unit 108 by the display control unit 107 may also include time-series data of load information acquired by the first acquisition unit 101 (e.g., a graph of the changes), time-series data of the state estimated by the second estimation unit 105 (e.g., a graph of the changes), etc.

[0050] The memory unit 109 is a functional unit that stores load information acquired by the first acquisition unit 101 and captured images acquired by the second acquisition unit 102. The memory unit 109 may also store the weight value estimated by the first estimation unit 104 or the user's state estimated by the second estimation unit 105. The memory unit 109 is implemented by the RAM 503 or auxiliary storage device 505 shown in Figure 2.

[0051] The setting unit 110 is a functional unit that sets the user's initial state (initial state of being in or out of bed) and initial weight, etc. Specifically, as shown in Figure 4, the setting unit 110 stores the user's initial state and initial weight, which are entered on the initial setting screen 1000 displayed on the display unit 108, as setting information in the storage unit 109. As shown in Figure 4, the initial setting screen 1000 includes a bed-implantation selection area 1001, a bed-out selection area 1002, and an initial weight input area 1003. The bed-implantation selection area 1001 is an operation area for selecting the bed-implantation state as the user's initial state. The bed-out selection area 1002 is an operation area for selecting the bed-out state as the user's initial state. The initial weight input area 1003 is an area for inputting the user's initial weight. The setting unit 110 stores the initial state selected from the implantation selection area 1001 and the bed alighting selection area 1002, as well as the initial weight entered in the initial weight input area 1003, as setting information in the storage unit 109.

[0052] In this case, the setting unit 110 can use the load value Y detected by the measuring device 20 at the time the initial state and initial weight X are set on the initial setting screen 1000 to determine the load of the bed, etc., excluding the user's weight (initial weight X), and store this load as setting information in the storage unit 109.

[0053] The input unit 111 is a functional unit that receives operation input. The input unit 111 is implemented by the keyboard 511 and mouse 512 shown in Figure 2.

[0054] The first acquisition unit 101, the second acquisition unit 102, the disturbance identification unit 103, the first estimation unit 104, the second estimation unit 105, the determination unit 106, the display control unit 107, and the setting unit 110 described above are implemented, for example, by a program executed by the CPU 501 shown in Figure 2. Note that some or all of these functional units may be implemented not by a software program, but by hardware circuits (integrated circuits) such as FPGAs (Field-Programmable Gate Arrays) or ASICs (Application Specific Integrated Circuits).

[0055] Furthermore, the functional units of the information processing device 10 shown in Figure 3 are conceptual representations of their functions and are not limited to this configuration. For example, multiple functional units shown as independent functional units in the information processing device 10 shown in Figure 3 may be configured as a single functional unit. Alternatively, the functions of a single functional unit in the information processing device 10 shown in Figure 3 may be divided into multiple functions and configured as multiple functional units.

[0056] (Operation flow of the health management system) Figure 6 is a flowchart showing an example of the operation flow of the health management system according to the embodiment. The operation flow of the health management system 1 according to this embodiment will be explained with reference to Figure 6.

[0057] <Step S11> First, the first acquisition unit 101 of the information processing device 10 acquires load information detected by the measuring device 20 via the sensor I / F 515. The first acquisition unit 101 stores the acquired load information in the storage unit 109. Then proceed to step S12.

[0058] <Step S12> The second acquisition unit 102 of the information processing device 10 acquires the captured image taken by the camera 21 via the sensor I / F 515. The second acquisition unit 102 stores the acquired image in the storage unit 109. Then, the process proceeds to step S13.

[0059] Note that the processes in steps S11 and S12 may be performed in the reverse order, and both processes may be executed in parallel.

[0060] <Step S13> The disturbance identification unit 103 of the information processing device 10 reads the captured image acquired by the second acquisition unit 102 from the storage unit 109 and identifies disturbance information from the captured image. Then, the process proceeds to step S14.

[0061] <Step S14> The first estimation unit 104 of the information processing device 10 reads load information acquired by the first acquisition unit 101 and setting information set by the setting unit 110 from the storage unit 109, and estimates the user's weight based on the load information, the setting information, and the disturbance information identified by the disturbance identification unit 103. The second estimation unit 105 of the information processing device 10 reads the captured image acquired by the second acquisition unit 102 from the storage unit 109, and estimates the user's state based on the captured image. Then, the process proceeds to step S15.

[0062] <Step S15> The determination unit 106 of the information processing device 10 determines whether or not there is an abnormality in the user's health condition, using at least one of the user's weight value estimated by the first estimation unit 104 and the user's condition estimated by the second estimation unit 105. For example, the determination unit 106 uses the time-series data of the weight value estimated by the first estimation unit 104 to determine that there is an abnormality in the health condition if there has been a predetermined increase or decrease in the weight value during the reference period. Then, the process proceeds to step S16.

[0063] <Step S16> The display control unit 107 of the information processing device 10 displays the user's health status, as determined by the determination unit 106, on the display unit 108. Furthermore, as shown in Figure 5 above, the display control unit 107 may display a health status display screen 1100 showing a graph of weight changes using time-series data of weight values ​​estimated by the first estimation unit 104 during the reference period. Additionally, as shown in Figure 5, if the determination unit 106 determines that there is an abnormality in the health status based on the weight changes, the display control unit 107 may display auxiliary information for creating a care plan.

[0064] The operation of the health management system 1 is performed according to the steps S11 to S16 described above. As described above, in the health management system 1 according to this embodiment, the first acquisition unit 101 acquires the total load of the bed used by the user and the items placed on the bed as load information, which is detected by the measuring device 20; the second acquisition unit 102 acquires the captured image taken by the camera 21 that captures the state of the bed used by the user; the disturbance identification unit 103 identifies disturbance information from the captured image acquired by the second acquisition unit 102; and the first estimation unit 104 estimates the user's weight value based on at least the load information acquired by the first acquisition unit 101 and the disturbance information identified by the disturbance identification unit 103. This makes it possible to accurately determine the weight value while suppressing the influence of disturbances.

[0065] Furthermore, the second estimation unit 105 estimates the user's condition based on the captured image acquired by the second acquisition unit 102, and the determination unit 106 determines whether or not there is an abnormality in the user's health condition using at least one of the weight value estimated by the first estimation unit 104 and the condition estimated by the second estimation unit 105. As a result, the presence or absence of an abnormality in the health condition is determined based on the weight value or condition that is obtained with high accuracy, thus providing a highly accurate determination result of the user's health condition.

[0066] Furthermore, the display control unit 107 displays the determination result from the determination unit 106 on the display unit 108. This makes it possible for the user or caregiver to easily understand the user's health status, which can be useful in creating care plans, etc.

[0067] Furthermore, if the determination unit 106 determines that there is an abnormality in the user's health condition, the display control unit 107 will display auxiliary information for creating a care plan for the user on the display unit 108. This allows the user or the caregiver providing care for the user to utilize the displayed auxiliary information in creating a care plan.

[0068] Furthermore, the information processing device 10 is further equipped with an input unit 111 for editing the user's weight, user status, or disturbance information. This allows for the editing of incorrect weight values, user status, or disturbance information that may have been caused by caregivers or other personnel performing caregiving tasks on the user, thereby improving the usability of the health management system 1.

[0069] (Variation 1) This section will describe the health management system according to Modification 1, focusing on the differences from the health management system 1 according to the embodiment described above. In this modification, a configuration will be described in which user care plan information and biometric information are acquired and used to determine the health status. The hardware configuration of the information processing device 10 according to this modification is the same as the configuration described in the embodiment described above.

[0070] Figure 7 shows an example of the configuration of the functional blocks of the information processing device according to Modification 1. The configuration and operation of the functional blocks of the information processing device 10a according to this modification will be explained with reference to Figure 7.

[0071] As shown in Figure 7, the information processing device 10a includes a first acquisition unit 101, a second acquisition unit 102, a disturbance identification unit 103, a first estimation unit 104, a second estimation unit 105, a determination unit 106, a display control unit 107, a display unit 108, a storage unit 109, a setting unit 110, an input unit 111, a third acquisition unit 112, and a fourth acquisition unit 113. The operation of the first acquisition unit 101, the second acquisition unit 102, the disturbance identification unit 103, the first estimation unit 104, the second estimation unit 105, the display control unit 107, the display unit 108, the storage unit 109, the setting unit 110, and the input unit 111 is the same as in the embodiment described above.

[0072] The third acquisition unit 112 is a functional unit that acquires the user's care plan information. Here, care plan information refers to record information that guides the user's health condition to a good state. The third acquisition unit 112 may, for example, acquire care plan information that has been previously registered in the storage unit 109, acquire care plan information from an external system (e.g., a care record system) via the network I / F 509, or acquire care plan information entered by the input unit 111.

[0073] The fourth acquisition unit 113 is a functional unit that acquires the user's biometric information detected by a measuring device, etc., via the sensor I / F 515. The biometric information is not limited to specific types such as body temperature, blood pressure, and electroencephalogram (EEG), and may consist of one or more types.

[0074] The determination unit 106 uses at least one of the user's weight value estimated by the first estimation unit 104 and the user's condition estimated by the second estimation unit 105, in addition to at least one of the care plan information acquired by the third acquisition unit 112 and the biological information acquired by the fourth acquisition unit 113, to determine whether there is an abnormality in the user's health condition. For example, if the care plan information includes records of pressure ulcer management, the determination unit 106 may comprehensively evaluate the user's biological information acquired by the fourth acquisition unit 113, such as body movement and nutritional information, and determine that the risk of pressure ulcers has increased, in which case it may determine that there is an abnormality in the user's health condition.

[0075] Furthermore, the display control unit 107 may display auxiliary information for creating or revising a care plan on the display unit 108 based on the determination result from the determination unit 106. Examples of auxiliary information include information encouraging the introduction of a waterbed.

[0076] Of the functional units shown in Figure 7, the first acquisition unit 101, the second acquisition unit 102, the disturbance identification unit 103, the first estimation unit 104, the second estimation unit 105, the determination unit 106, the display control unit 107, the setting unit 110, the third acquisition unit 112, and the fourth acquisition unit 113 are implemented, for example, by a program executed by the CPU 501 shown in Figure 2. Note that some or all of these functional units may be implemented not by a software program, but by hardware circuits (integrated circuits) such as FPGAs or ASICs.

[0077] Furthermore, the functional units of the information processing device 10a shown in Figure 7 are conceptual representations of their functions and are not limited to this configuration. For example, multiple functional units shown as independent functional units in the information processing device 10a shown in Figure 7 may be configured as a single functional unit. Alternatively, the functions of a single functional unit in the information processing device 10a shown in Figure 7 may be divided into multiple functions and configured as multiple functional units.

[0078] With the configuration of the information processing device 10a according to the above modified example, in addition to achieving the same effects as the embodiment described above, the accuracy of the determination can be improved because the presence or absence of abnormalities in the user's health status is determined using at least one of the care plan information and biometric information.

[0079] (Modification 2) This section will describe the health management system according to Modification 2, focusing on the differences from the health management system 1 according to the above embodiment. In the above embodiment, the information processing device 10 directly acquired load information and captured images from the measuring device 20 and the camera 21. In this modification, a configuration will be described in which the load information and captured images obtained from the measuring device 20 and the camera 21 are uploaded to the cloud via an on-premise server. The hardware configuration of the information processing device 10b according to this modification is the same as the configuration described in the above embodiment.

[0080] Figure 8 shows an example of the configuration of the health management system according to Modification 2. The configuration of the health management system 1b according to this modification will be explained with reference to Figure 8.

[0081] The health management system 1b shown in Figure 8 is a system for monitoring a user's weight and health status based on information obtained from a measuring device installed on the bed used by the user and a camera that captures images of the bed's condition. As shown in Figure 8, the health management system 1b includes an information processing device 10b, a measuring device 20, a camera 21, a cloud 30, and an on-premise server 40.

[0082] The on-premise server 40 is a server device that collects load information detected by the measuring device 20 and captured images taken by the camera 21. The on-premise server 40 transmits (uploads) the collected load information and image information to the cloud 30 via the cloud's API (Application Program Interface).

[0083] Furthermore, the on-premise server 40 may collect the care plan information and biometric information acquired by the information processing device 10a according to the above-described modification 1 and transmit (upload) it to the cloud 30. In addition, the on-premise server 40 may transmit real-time load information and captured images to the information processing device 10b for display.

[0084] Cloud 30 is a cloud system that handles a part of the functional parts of the information processing devices 10 and 10a according to the above-described embodiment or modified example 1. For example, Cloud 30 may handle the functions of the first acquisition unit 101, the second acquisition unit 102, the disturbance identification unit 103, the first estimation unit 104, the second estimation unit 105, the determination unit 106, a part of the storage unit 109, the third acquisition unit 112, and the fourth acquisition unit 113 of the functional parts of the information processing devices 10 and 10a.

[0085] The information processing device 10b is an information processing device such as a PC, smartphone, smartwatch, tablet terminal, or server device for monitoring the user's health status based on their weight and physical condition. For example, the information processing device 10b may perform the functions of the display control unit 107, display unit 108, part of the storage unit 109, the setting unit 110, and the input unit 111, which are functional units of the information processing devices 10 and 10a described above. In other words, the information processing device 10b transmits the setting information set by the setting unit 110 to the cloud 30.

[0086] Note that the above-mentioned allocation of functions to be performed by the cloud 30 and the information processing device 10b is just one example, and different allocations are also possible.

[0087] This modified configuration of the health management system 1b provides the same effects as the embodiment described above. In addition, by transmitting and managing private information such as load information and captured images to the cloud 30 without requiring local information processing device 10b to acquire it, it is possible to suppress the leakage of personal information and achieve a configuration that is preferable from the standpoint of security measures.

[0088] Furthermore, the programs that implement each function performed by the information processing device 10b may be native applications (native apps), as shown in Figure 8, or they may be web browsers that run in cooperation with web applications running on the cloud 30 and on-premise servers 40.

[0089] Furthermore, each function of the above-described embodiment and modified example can be realized by one or more processing circuits. Here, "processing circuit" includes processors programmed to execute each function by software, such as processors implemented by electronic circuits, as well as devices such as ASICs (Application Specific Integrated Circuits), DSPs (Digital Signal Processors), FPGAs (Field-Programmable Gate Arrays), SoCs (System on a Chip), GPUs (Graphics Processing Units), and conventional circuit modules designed to execute each of the above-described functions.

[0090] Furthermore, in the above-described embodiments and their respective modifications, if at least one of the functional units of the information processing devices 10, 10a, 10b, the cloud 30, and the on-premise server 40 is implemented by program execution, the program is provided pre-installed in ROM or the like. Also, in the above-described embodiments and their respective modifications, the program executed by the information processing devices 10, 10a, 10b, the cloud 30, and the on-premise server 40 may be configured to be provided as an installable or executable file recorded on a computer-readable recording medium such as a CD-ROM (Compact Disc Read Only Memory), flexible disk (FD), CD-R (Compact Disk-Recordable), DVD, or SD (Secure Digital) card. Also, in the above-described embodiments and their respective modifications, the program executed by the information processing devices 10, 10a, 10b, the cloud 30, and the on-premise server 40 may be configured to be stored on a computer connected to a network such as the Internet and provided by downloading it via the network. Also, in the above-described embodiments and their respective modifications, the program executed by the information processing devices 10, 10a, 10b, the cloud 30, and the on-premise server 40 may be configured to be provided or distributed via a network such as the Internet. Furthermore, in the embodiments and modifications described above, the programs executed by the information processing devices 10, 10a, 10b, the cloud 30, and the on-premise server 40 are configured as modules that include at least one of the functional units described above. In actual hardware, the CPU reads and executes the program from the storage device, thereby loading and generating the functional units described above onto the main memory. [Explanation of Symbols]

[0091] 1.1b Health Management System 10, 10a, 10b Information Processing Devices 20 Measuring devices 21 Cameras 30 Cloud 40 On-Premise Servers 101 First acquisition part 102 Second acquisition part 103 Disturbance Identification Section 104 1st estimation part 105 Second estimation part 106 Judgment section 107 Display Control Unit 108 Display section 109 Storage section 110 Setting section 111 Input Section 112 Third Acquisition Department 113 4th Acquisition Department 501 CPU 502 ROM 503 RAM 505 Auxiliary storage 506 Recording media 507 Media Drive 508 displays 508a Smartwatch 509 Network Interface 510 Bus 511 keyboard 512 mice 513 DVD 514 DVD drive 515 Sensor I / F 1000 Initial setup screen 1001 Implantation selection region 1002 Selection area during bed ambulation 1003 Initial weight input area 1100 Health status display screen [Prior art documents] [Patent Documents]

[0092] [Patent Document 1] Japanese Patent Publication No. 2018-061842

Claims

1. A first acquisition unit acquires load information, which is the total load of the bed used by the user and the items placed on the bed, as detected by a measuring device. A second acquisition unit acquires an image captured by an imaging device that captures the state of the bed used by the user, A disturbance identification unit identifies disturbance information from the captured image acquired by the second acquisition unit, A first estimation unit estimates the user's weight based at least on the load information acquired by the first acquisition unit and the disturbance information identified by the disturbance identification unit, A health management system equipped with [features / equipment].

2. The health management system according to claim 1, further comprising a second estimation unit that estimates the user's condition based on the captured image acquired by at least the second acquisition unit.

3. The health management system according to claim 2, further comprising a determination unit that determines whether or not there is an abnormality in the user's health condition using at least one of the weight value estimated by the first estimation unit and the state estimated by the second estimation unit.

4. The health management system according to claim 3, further comprising a display control unit for displaying the determination result by the determination unit on a display device.

5. The health management system according to claim 4, wherein the display control unit, when it determines that there is an abnormality in the user's health condition, displays on the display device auxiliary information for creating a care plan for the user.

6. The health management system according to claim 4, wherein the display control unit causes the display control unit to display on the display device the time-series data of the load information acquired by the first acquisition unit, the time-series data of the weight value estimated by the first estimation unit, or the time-series data of the state estimated by the second estimation unit.

7. The system further includes a third acquisition unit for acquiring the user's care plan information, The health management system according to any one of claims 3 to 6, wherein the determination unit determines whether or not there is an abnormality in the user's health condition based on the care plan information in addition to the weight value or the condition.

8. The system further includes a fourth acquisition unit that acquires the user's biometric information, The health management system according to any one of claims 3 to 6, wherein the determination unit determines whether or not there is an abnormality in the user's health condition based on the biological information in addition to at least one of the weight value or the state.

9. A health management system according to any one of claims 2 to 8, further comprising an operating unit for editing the weight value, the state, or the disturbance information.

10. A first acquisition step in which the first acquisition unit acquires the total load of the bed used by the user and the items placed on the bed as load information, as detected by the measuring device, The second acquisition step involves the second acquisition unit acquiring an image captured by an imaging device that captures the state of the bed used by the user, Disturbance identification unit performs a disturbance identification step in which it identifies disturbance information from the captured image acquired in the second acquisition step, The first estimation unit performs an estimation step of estimating the user's weight value based at least on the load information acquired in the first acquisition step and the disturbance information identified in the disturbance identification step, A health management method that includes [something].

11. On the computer, A first acquisition step involves obtaining load information, which is the total load of the bed used by the user and the items placed on the bed, as detected by a measuring device. A second acquisition step involves acquiring an image captured by an imaging device that captures the state of the bed used by the user, A disturbance identification step involves identifying disturbance information from the captured image acquired in the second acquisition step, An estimation step that estimates the user's weight value based at least on the load information obtained in the first acquisition step and the disturbance information identified in the disturbance identification step, A program to execute.

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